Emoji Aimer 1

Summary

First session on emoji-aimer/ — built a click-to-damage aim-trainer prototype on Anchor 2. Started with a brainstorm of an emoji-based aim-practice build-heavy game, ended with a working 4-round game loop (round 1 → 2 → 3 → 4, win/lose conditions, manual round advance via button).

Game concept brainstorm:

Discussed emoji-based aim trainer with builds; user shared 4 reference screenshots from a Twitter-emoji prototype (bullseye targets, item shop, boss eye-creature)
Pivoted from "Brotato-with-emojis" (top-down shooter) to "Aim Lab + roguelite items" (cursor is the protagonist, no movement, pure aim)
Settled on "build = aim transformation" as the core thread (each item warps how aim feels — cursor magnetism, projectile inertia, multi-cursor, etc.)
DPS-game scoring: deal enough damage in a given time, target score scales with time
User said no choose-1-of-3 mechanic; alternatives discussed: open shop, slot loadout, achievement-gated unlocks
Future plan mentioned: Artifact-style draft phase, mana-cost cards each round, passives row

Project setup:

Created E:/a327ex/emoji-aimer/ with anchor framework copy, anchor.exe, assets/, run.bat
Downloaded 512x512 Twitter emoji PNGs from emojipedia (em-content.zobj.net/source/twitter/450/<slug>_<codepoint>.png pattern, requires referer header): direct-hit, collision, sparkles, backhand-index-pointing-up, hourglass-done, high-voltage, fire
Copied other assets from reference projects: star.png, hit1.png spritesheet (96x48 frames), LanaPixel.ttf, FatPixelFont.ttf, Awesome 9.ttf, digits 0.png-9.png, recolor.frag
Visual style ported from emoji-ball-bounce/reference/main.lua: 480x270 internal at scale 3, sky gradient bg, layer pipeline with shadow + outline shaders

Click-to-damage target with juice:

Single direct-hit emoji target at 3 HP, click-to-damage with t:contains(mx, my) radius check
Inlined ports of hit_circle, hit_particle, emoji_particle classes from emoji-ball-bounce reference, adapted to v2 patterns (make_entity + procedural timer/spring fields, no self:add(...))
Hit feedback: spring squash on 'hit' named spring, white flash for 80ms, hit_circle ring, 2 yellow hit_particles, 1 star emoji_particle, camera shake
Death feedback: bigger ring, 8-12 hit_particles in yellow + orange, 8-12 collision emoji_particles, 4-8 sparkle emoji_particles, bigger shake
Iterative tuning: removed sparkle/collision emojis, kept only stars, then later changed to direct_hit emoji particles for the spawn burst; made spring bouncier (frequency 5, bounce 0.75); made particles thicker via w=14, h=8
Mouse position fix: hit/death effects spawn from click position (mx, my) instead of target center

Cursor (juicy emoji cursor):

Found canonical cursor pattern at super-emoji-pop/main.lua:160-218
Ported to v2: cursor singleton class, two springs (r rotation, main scale), tracks last 10 mouse deltas in previous_mouse_deltas_x/y
Horizontal sway: when cursor stops after horizontal motion, pulls rotation spring by math.clamp(math.remap(abs(avg), 0, 20, 0, sign(avg)*pi/4), -pi/4, pi/4)
Vertical squash: when cursor stops after vertical motion, snaps mouse_dt_sy to clamp(remap(abs(avg), 0, 12, 1, 0.5), 0.5, 1), tweens back to 1 over remap(abs(avg), 0, 12, 0.1, 0.2)
Click press: pulls 'main' spring 0.5, named tween 'click_scale' to (click_r=pi/16, click_sx=0.9, click_sy=0.7) over 0.05s
Click release: pulls 'main' 0.25, named tween back to (0, 1, 1) over 0.1s
Backhand-index-pointing-up emoji at scale 22/512, drawn with (+7, +9) offset and -pi/8 base rotation so fingertip lands at cursor x,y
mouse_set_visible(false) hides the system cursor

hit_effect (animated impact burst):

Found pattern at super emoji pop/main.lua:411-423, uses 'hit1' spritesheet animation
Ported as new class: animation_new('hit1', 0.03, 'once'), kills self when animation.dead = true, drawn at random rotation with 1.35x base scale + per-instance args.s multiplier
target:hit spawns s=1, target:die spawns s=1.6
Kept old hit_circle class as the user explicitly said "you don't have to delete it"

UI mockup HTML:

User shared 6 ChatGPT-generated UI kit images (ui_kit_1..7, with 6 missing) at reference/ui_kit_*.png
Wrote comprehensive reference/ui_mockup.html: canonical palette (every named color from main.lua with hex), panels with chunky outlines + drop shadow, buttons (default/primary/success/warning/danger x default/hover/active/disabled), badges + rarity chips, counters, score displays with deltas, continuous + segmented progress bars, inventory slots with rarity-tinted insets, tooltips, sample HUD layout
Expanded main.lua palette to include all canonical colors from emoji-ball-bounce reference: gray, bg_color, fg_dark, blue, green, purple, brown, plus new pink = color(244, 154, 194) from the kit
State derivations documented: hover = color_mix(base, white, 0.15), active = color_mix(base, black, 0.15)

Round loop scaffold:

Round state machine, density-based target spawning, ROUND END display, R restart, F3/F4 memory tracker (using Orblike's memory_tracker_new() / memory_tracker_update / memory_tracker_draw pattern)
try_spawn_target() picks random arena positions with TARGET_MIN_SPAWN_DIST = TARGET_RADIUS*4 exclusion check, 20 attempts then bails
ideal_target_count() lerps TARGET_COUNT_MIN=6 to TARGET_COUNT_MAX=12 over the round duration
round_reset() kills all live targets+effects, drains destroy queue immediately, resets state, re-seeds — for clean leak verification

Bugs investigated:

Text dark: diagnosed cause as outline shader producing vec4(0,0,0,a) — drawing text in black on an outline-shaded layer produced black-on-black mush. The 5x5 neighbor sample doesn't actually destroy thin pixel-font glyphs; the issue was color choice. Initial fix: separate hud_layer for non-outlined text. Final fix: draw text in white so the shader's black halo reads as a black outline around white interior
Game goes dark over time: investigated layer_render, layer_clear, layer_draw_from, swap-chain logic — found rendering pipeline clean. User reported it self-resolved
Diagnostic process documented for future reference (the "thin glyphs eaten by outline shader" intuition was wrong, color choice was the actual variable)

UI layer architecture refactor:

Replaced single hud_layer with two outlined UI layers per user's directive ("you should have 2 layers, ui and ui_2... both should have the same outline shader")
Final layer set: bg_layer, game_layer (+outline), effects_layer (+outline), ui_panel_layer (structural fills, +outline), ui_content_layer (text + icons in white, +outline), overlay_layer (non-outlined fullscreen dim), cursor_layer (+outline), debug_layer
Composite order: bg -> shadow -> game outline+game -> effects outline+effects -> ui_panel outline+ui_panel -> ui_content outline+ui_content -> overlay -> cursor outline+cursor -> debug
Two-layer split (panel vs content) prevents outline silhouettes from merging — each element gets its own black halo

Fonts:

fonts.main — LanaPixel @ 11 (body)
fonts.big — FatPixelFont @ 8 (chunky display, copied from emoji-ball-battles)
fonts.mid — Awesome 9 @ 16 (mid headers, copied from Orblike)
fonts.debug — LanaPixel @ 11 (mem tracker)
All text drawn in white now; shader provides black halo

First UI pass (later removed):

Built draw_panel, draw_hud_chip, draw_mana_panel, draw_passives_panel, draw_hand_card, draw_hand helpers
Top-left HUD chips (timer + score), top-right mana pip bar + passives row, bottom-center 5-card hand
User then said: "Keep the UI layers, fonts, etc. Remove all UI code you added otherwise. We'll do it all again tomorrow one element at a time."
Reverted: removed all UI helpers, stub state, constants, draws — kept layers/fonts/icon assets/render pipeline

Target spawn animation:

Tween size 0 to 1 over 0.15s with math.cubic_in_out (named 'spawn' tween)
Flash white during the tween
On apex: spring pull ('hit', 0.6, 5, 0.75) for bouncy pop
3 direct_hit emoji particles burst out (velocity 120-240, scale 0.7-1.0, gravity 0, flash_on_spawn 0.3)
target:contains returns false while spawn_scale < 0.5 so player can't accidentally kill an emerging target

Click ungating bug fix:

User reported "new targets can't be killed after a while"
Diagnosed: if round_state == 'playing' wrapper around click handler. Round timer expired at 30s -> round_state = 'ended' -> clicks gated -> looked like a bug since no UI showed round end
Fix: moved click handler outside the gate. Spawning + timer still gated to 'playing', click damage always works
Also flagged: default_kill sets _dying=true, not _dead; _dead only set by process_destroy_queue. Click filter not t._dead lets just-killed targets be re-clicked in the same frame, but kill() early-exits via if self._dying then return end so it's harmless

HP bar:

Direct port of emoji-ball-battles/main.lua:2931 hp_bar class, inlined into target as compositional fields
22w x 4h rounded rect, black bg + red fill, drawn at target.y + 18 on game_layer (camera-attached so it jitters with target, outlined separately from target since 18px gap exceeds outline expansion)
Activation in target:hit: flips hp_visible=true, pulls new 'hp' spring (force 0.5, freq 3, bounce 0.5), 0.15s 'hp_flash' named timer
Originally had 2s 'hp_hide' auto-hide timer (matching reference); user requested HP bar stay visible permanently after first hit, so dropped the hide timer

Damage numbers (per-digit keycap):

Direct port of emoji-ball-battles/main.lua:4322 damage_number class
Copied digit assets 0.png-9.png (gray rounded keycaps with white digits, 512x512 each), loaded into digit_imgs[tostring(0..9)]
Per-digit state for wobble + bob: rotation, angular_speed = random_float(-pi/4, pi/4), offset_y = 2*math.sin(time + i*0.3) (less spread than reference's 4*sin(t + i) for visual cohesion)
Holds at full scale for 25% x duration_multiplier, then shrinks to 0 over remaining 75% via cubic_in_out
Tuned: vy = -80 (rises quickly), duration_multiplier = 0.5 (despawn fast)
Spring pull ('main', 0.5, 3, 0.7) at construction for spawn pop

Recolor shader for damage numbers:

Found recolor.frag in emoji-ball-battles assets — maps gray keycap (luminance 0.471) -> target color, white digit stays white
Copied to emoji-aimer/assets/, loaded as recolor_shader
Added intermediate digit_layer for per-rarity bucketed recolor passes
Each frame: bucket damage_numbers by rarity_color field, for each bucket queue digits to digit_layer, render, set u_target_color uniform via shader_set_vec4_immediate, layer_draw_from(effects_layer, digit_layer, recolor_shader)
Done before effects_outline derivation so colored numbers get the chunky outline

Score tier system iterations:

First attempt: random_int(0, 1000) uniform — too uniform
Second attempt: r^4 curve toward low end (~56% in 1-100 range)
Final spec from user: 6 tiers via random_weighted({30, 20, 15, 10, 5, 5}) (engine helper at anchor.c:7851)
Tiers: 1-10/gray, 11-25/green, 26-50/blue, 51-100/purple, 101-200/orange, 201-500/red
User noted "51 is coming out as grey" — diagnosed kill-bonus mismatch (gray-tier roll 1 + KILL_SCORE 50 = 51 displayed but color stayed gray). Fixed by re-deriving color from final amount via tier_color_for(amount) after bonus added
Common tier was originally white, but recolor shader maps gray bg -> white = invisible digit; swapped to gray per ARPG convention

Final game loop — 4-round structure:

ROUNDS = { {target=10, time=30, hit_score=1, kill_score=5}, {50, 30, 5, 10}, {250, 30, 10, 25}, {1000, 30, 20, 40} }
Kill score replaces hit score on killing hit (total on kill = kill_score, not hit_score+kill_score per user's spec)
game_state in {'playing', 'cleared', 'won', 'lost'}, round_index, per-round score resets on advance
Refactored round_reset -> start_round(idx) + advance_round() + run_reset()
start_round clears targets/effects, resets per-round state, sets game_state = 'playing' (crucial for advance from 'cleared')
advance_round increments index, calls start_round, or flips to 'won' if past last round
Timer ticks only in 'playing'; expiry -> 'lost'
HUD text on ui_content_layer in white: ROUND N, TIME MM:SS, score / target
Win/loss overlay centered: YOU WON! or GAME OVER in fonts.mid, PRESS R FOR NEW RUN hint in fonts.main
R restarts run from any state via run_reset()

END ROUND button (final loop refinement):

User wanted manual round advance instead of auto-advance on score met
Added 'cleared' state between target met and round advance
Score-met check flips 'playing' -> 'cleared' (was: advance_round() directly)
In 'cleared': timer freezes, spawning continues, target clicks still work (free-grind), button visible
Button: 96x22 panel at bottom-right with 4px padding (x = gw - 4 - 96, y = gh - 4 - 22)
Hover detection via the_cursor.x/y (set in update each frame from mouse_position())
Background tints fg -> white on hover for feedback
end_round_button_contains(mx, my) AABB hit-test
Click on button consumes the click; clicks elsewhere fall through to target hit-testing
start_round sets game_state = 'playing' to ensure button hides on round advance

Let's brainstorm an emoji-based aim-practice build-heavy game. Based on that alone, what can you imagine?

A few directions, with the things that excite me and the things I'd worry about.

The core tension worth designing around

Aim games and build games usually pull in opposite directions. Aim-practice rewards raw mechanical skill and removes build noise so you can measure yourself. Build-heavy games autoaim or trivialize aim because the build is the game. Smashing them together only works if builds reshape the aim challenge itself rather than just adding damage numbers. That's the pitch I'd build around: every item changes what kind of aimer you have to be this run. Heavy slow projectiles → you're now a prediction shooter. Curving homing shots → you're a flick shooter who picks targets. Bouncing chains → you're a positional shooter who aims at geometry. The build is the aim transformation, not the stat sheet.

What emoji buys you

Semantic shorthand. 🐛 reads as swarmer, 🐢 as tanky, 🦅 as flying, 🦖 as charger — no tutorial needed. Same trick for items: 🩸 is lifesteal, 🪞 is reflect, ❄️ is slow, ⚡ chains, 🧲 pulls, 🪨 heavy, 🪶 light, 🔥+🛢️ ignites. The vocabulary becomes the design language; you can name and tooltip 200 items by leaning on what people already know an emoji means. It also gives you a tone — emoji is inherently funny, which keeps a try-hard aim trainer from feeling sweaty. Or you do the opposite: SNKRX-grade screenshake and meaty hit feedback against cute emoji, and the contrast carries the identity.

Format guess

Top-down arena roguelite, Brotato/Holocure shape: 30–60s waves of emoji enemies, shop between waves, ~20 min runs. Top-down because emoji read clearly there and an FPS aim-trainer with emoji targets feels gimmicky. Mouse aims, WASD or auto-walk for movement (auto-walk frees a hand for aim and is a real lever — Brotato's autoshoot vs. Vampire Survivors-ish movement-only). I'd start autoshoot off — you're aiming and clicking, that's the point — but consider items that grant partial autofire as a build branch.

Build axes I'd want

Projectile physics (speed, gravity, curve, pierce, bounce, split, homing strength)
Conversion items that swap your projectile entirely (🔥 → 🌊 → ⚡)
Crosshair/aim modifiers (size, recoil, charged shots, scope)
Set bonuses keyed to emoji families (all 🐉🐲🦖 reptile items, all ❄️🌨️☃️ ice items)
Anti-synergies — fire build vs. water enemies forces a pivot

The set-bonus-by-family thing is where emoji shines mechanically, not just visually: families are obvious to players without reading.

What I'd worry about

Visual noise. Emoji at speed with particles and numbers turns to soup. Need disciplined silhouette/color rules per enemy class, possibly desaturated background emoji vs. saturated foreground.
Cross-platform rendering. Apple's 🐉 and Google's 🐉 look different; if you target the web you either bundle Twemoji/Noto or accept inconsistency. Probably bundle.
"Free art" smell. Emoji can read as low-effort. The juice (hit feedback, screenshake, audio, UI polish) has to be S-tier to transcend it.
Two games glued together. Real risk that aim-gods ignore the build and build-optimizers want autoaim. The fix is making every item visibly change how aim feels — no item should just say "+10% damage."
Cognitive load. Aim is already a skill ceiling. Stacking dense item synergies on top can burn players out fast. Shorter runs (15 min, not 45) and fewer item picks per run might be the call.

The thread I find most interesting

The "build = aim transformation" framing. If I picked up this game and every run I had to learn a slightly different aim discipline because the items reshaped my projectiles, that would be unique — neither Aim Lab nor Brotato does it. The risk is players hating builds that worsen their aim feel; you'd need every transformation to be fun on its own, not just stronger.

Want me to drill into one of these — the build-as-aim-transformation idea, the wave format, or the item taxonomy?

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I was imagining it more like an actual aim trainer of sorts with crazy builds and so on. No choose 1 out of 3, I don' tlike that mechanic, but just adding the image to show you.

The screenshots reset my picture. This isn't Brotato-shape — it's Aim Lab plus roguelite items. Cursor is the protagonist, you probably don't move much (or at all), targets are bullseyes/eyes that exist to be shot, items are passive build pieces that warp how shooting feels. Let me redo the brainstorm with that frame.

What the images actually tell me

The targets are the emoji vocabulary (🎯, 👁️, ⭕), not just enemies dressed up as emoji. Cleaner identity than what I pitched — the game is "shoot emoji."
Hearts exist (2 → 3 → 8 across runs) so something damages you. I don't know what yet. Targets escaping? Time penalty? Bosses attacking back? It's a real design lever and the answer changes a lot.
Ammo + reload is core (5/5, 17/30) and the Matchstick item keys off reload — meaning reload isn't friction, it's a build axis.
Three item archetypes are already on display: on-hit (Cleaver = bleed), persistent aura (Eyeball = cursor DPS), on-reload (Matchstick). To that I'd add: on-kill, on-crit (center of bullseye), on-miss penalty/reward, on-mag-empty, per-target-stacks, escalators that build during a mag and reset on reload.

Build ideas that survive the static-aim framing

Because the player isn't running around dodging, the build can mess with the cursor itself in ways that would be obnoxious in a regular shooter:

Cursor magnetism — soft snap to nearest target. Skill-floor item; opens "spray" builds.
Cursor trail — projectiles spawn along your cursor's path. Aim becomes drawing.
Move-to-shoot — only fires while cursor moves. Forces flicks.
Crit on bullseye center — a precision-economy item, rewards aim quality not volume.
Stack on focus — 1st hit 10, 2nd 20, 4th 80, resets when you switch targets. Rewards locking on.
Inverse: combo on switch — multiplier resets if you don't change target each shot. Forces flicks.

Those last two are opposite playstyles, both viable. That's the "build = aim transformation" thread from before, and it actually fits this format better than the Brotato one — because in an aim trainer, items reshaping how you aim is the whole game.

A few weirder ones worth flagging:

Bullet ricochet off bullseye rings — outer rings deflect, center absorbs. Geometry shooting.
Ammo as currency — high-rarity items make your gun consume 2 rounds per shot. Tradeoffs in mag economy.
Reload-as-trigger — items that go off only on a clean reload (no shots wasted). A mini-game inside reloading.
Gaze items — anything keyed to "where the cursor is hovering" (Eyeball already exists). Build a whole tree of these — the cursor is a damage source, not just an aim point.

On "no choose 1 of 3" — agree, and here's why it's specifically wrong here

Choose-1-of-3 forces curated branching points and turns every wave into a menu game. Aim trainers attract players who want to retry instantly and identify with their build, not pick from a triplet a designer balanced. Better fits:

Open shop, scrolling shelf — the screenshot shop's UI, but with 8–20 items visible, all priced, browse-and-buy. Money pressure replaces forced choice.
Loot drops — bosses/elite targets eject physical emoji items that you click to grab. Aim-as-progression: miss the grab, lose the item. Mechanically thematic.
Slot system + free swapping between rounds — fixed loadout slots; swap any item in/out between waves. Removes "I bricked my run at minute 2" regret, which is especially painful in a game where mistakes feel mechanical.
Unlocks gated by aim feats — kill 100 in one mag, no misses in a wave, only-center-hits run, etc. Items become trophies for specific aim disciplines, which is exactly the meta loop a serious aim-trainer audience wants.

I'd default to open shop + slot loadout. Loot drops as a flavor on top for boss waves.

Tensions worth naming

Aim trainer audience (sweaty, wants leaderboards, hates RNG) vs roguelite audience (loves RNG, wants chaos). Pick which crowd this is for, because items being build-warping = chaos = not the aim-trainer crowd's natural taste. The contradiction is workable but you have to commit. SNKRX's audience is the model — people who like both mechanical play and absurd builds.
"No movement, only aim" is purer but risks being samey. "Some movement" (dodge, reposition) opens design but pulls toward FPS-shooter territory and away from the Aim-Lab feel the screenshots imply.
HP and lives in an aim trainer is unusual — most aim trainers just give you a score. The hearts in the screenshots imply this is more roguelite than trainer in spirit. That's a meaningful identity choice.

A few things I'd want pinned down before going deeper.

ToolSearch

[
  {
    "type": "tool_reference",
    "tool_name": "AskUserQuestion"
  }
]

AskUserQuestion

User has answered your questions: "Does the player move, or is the cursor the only input?"="Cursor only. There's no "player". It's just mouse + clicking.", "What costs the player a heart?"="Undefined...", "What's the run shape?"="Doesn't matter for now.". You can now continue with the user's answers in mind.

"Cursor only, no player" is a sharper constraint than I had. Useful — it cuts a whole class of items I was about to suggest (move-to-shoot, positional builds) and concentrates the design space onto three things: the cursor, the shot, and the target. Everything builds from those.

What pure cursor-only opens up

The cursor stops being a UI element and becomes the entire character. Every property of the cursor is a build axis:

Size — bigger = forgiving (every shot hits), smaller = precision-crit bonus. Items can grow it, shrink it, invert it (only edges register).
Inertia — cursor has momentum, hard to flick but rewards sweeping. Or the opposite: cursor "snaps" with no inertia at all, rewarding micro-flicks.
Lag/lead — shots originate from where the cursor was 0.2s ago, or 0.2s ahead of it. Predictive aim becomes a build branch.
Multiplicity — your cursor splits into 2 or 3 phantoms (offset, mirrored, delayed). One real cursor moves, the others trail. Half the build tree is "what do my phantoms do."
Trail damage — projectiles spawn along the cursor's path. Aim becomes drawing — sweeping a line through 5 targets is the play.
Hover damage / Eyeball escalation — targets under cursor take DPS. A whole tree off this: hover crits, hover-to-mark, hover-then-detonate, "Medusa" (hover 1s = stunned target).
Inverse cursor — every target not under your cursor takes DPS. Forces you to never hover. Inverts the whole feel.
Cursor-state stacks — hold still 1s, build a charge; or, gain stacks per cm of cursor travel. Two opposing item families, both viable.

Click economy as a parallel design tree

The cursor is half the input — clicking is the other half. Build axes here:

Charge shots — hold to charge, release to fire. Big damage, slow fire.
Cadence — every 5th click is a crit, or consecutive clicks within X ms compound. Rewards rhythm.
Active reload — Gears-style timing bar; perfect reload triggers an effect.
Right-click as a second weapon — totally different shot logic. Builds can lean LMB, RMB, or both.
Mag-dump items — bonus only when you empty the mag without missing.
Reload-as-trigger — Matchstick is one example; whole tree of on-reload items (refresh hover stacks, ignite, freeze, summon, etc.).

Target-side build axes

The targets themselves are a build surface, not just objects to be shot:

Marks/curses — items that flag targets (next hit on a marked target deals ×3, marked target explodes on death). Cursor and gun become marker tools, not just damage tools.
Bleed/burn/poison — DoTs let you spread damage and click less; a build identity around "click once, walk away."
Resurrection / chain — killed targets respawn weaker, or chain damage to neighbors.
Bullseye economy — outer ring 1×, inner ring 3×, dead center 10× and refunds the bullet. Items that scale the gradient turn precision itself into a build.

On the undefined damage source — here's the cleanest fit

Since there's no player avatar but there are hearts, the most elegant answer is: the cursor is the avatar. Bosses (the Biblically Accurate Angel is already eye-themed — it watches you) fire projectiles at your cursor. Hitting your cursor costs a heart. This:

Resolves "no player" — there isn't one. The cursor is the only thing in the world.
Creates real tension between aim (cursor wants to be on the target) and survival (cursor wants to be moving). That tension is the whole game.
Justifies the entire boss-fight format — bosses become bullet-hell sources, regular waves are pure aim, the genre flexes between them.
Opens defensive builds: shrink cursor hitbox, dodge-on-click, brief invuln after a kill, parry projectiles by clicking them.

Alternatives if you don't want dodging in the mix:

Escapes — targets have a path/timer; let one through, lose a heart. Pure aim accountability.
Accuracy floor — sub-X% accuracy on a wave costs a heart. Most "aim trainer" identity, but punishing in a way casual players hate.
Patience / streak gauge — drains on miss, fills on hit; empty = lose heart. Smooths the punishment curve.
Wave timer with a kill quota — fail to clear in time, lose a heart. Survival-shaped, less aim-shaped.

The cursor-as-avatar option is the strongest because it makes the failure mode visible and dodgeable, and explains why the player has hearts at all in a game with no player. Escapes and accuracy floors feel grafted on; bullet-hell-vs-cursor feels native to the format.

One contradiction worth naming

The more "cursor-as-avatar with bullet hell" you commit to, the less this is an aim trainer and the more it's a cursor-based bullet hell with aim mechanics. That's not bad — it's just a different game from "Aim Lab + items." Worth deciding which one you actually want, because the item tree, the wave design, and the audience all bend differently. The screenshots already lean toward bullet-hell-shaped (the Angel boss surrounded by smaller eyes is genre-classic), so my guess is you're closer to that than to a pure trainer — but worth checking against your gut.

Build axes that make sense to me: size, multiplicity, hover, cursor-state stacks. A few you didn't include: AoE, both in terms of area and chain (deal damage to one target, hops to nearby ones), different damage types, hold attacks (draw lines), charged attacks, ...

Ah I see you added some more on the bttom, out of those, the ones that are good: charge shots, cadence, active reload, right-click, mag-dump, reload-as-trigger. The ones on the bottom that are good: marks/curses, bleed/burn/poison, chain as mentioned before, bullseye.

On cusror = avatar. I think this is a mistake. The game should be about aiming and shooting correctly, not dodging with the cursor. I think the most correct gameplay loop for now is just make the game a DPS game. Deal enough damage on a given time, and the score needed increases with time. Players with good aim can challenge themselves on harder modes where you have less modifiers available, players with average/bad aim can have more items in more normal modes. This could be a simple difficulty multiplier that scales based on how well you do on each run.

The DPS-check loop is the cleanest thing in this conversation so far. It collapses problems:

"What damages you" becomes "miss the threshold." No grafted-on dodge, no escape timers, no accuracy gauges. Numbers vs. clock.
Bosses (Angel) and swarms get the same framing — both are HP piles that must drop in T seconds. Different aim flavors, identical loop.
Hearts become a buffer: miss the threshold N times, run ends. Probably 3 in normal mode, 1 in hard mode. Cleaner than HP-as-cursor.

It's essentially the SNKRX / Death Must Die shape but with explicit DPS gates instead of survival timers. Good fit.

On the adaptive-difficulty / item-availability inverse — push back

The "good aim → fewer items" idea is the most interesting design choice you've named, and it's worth being honest about how it can go wrong. Two readings:

Player-chosen mode at run start. Easy / Normal / Hard sliders. Hard = fewer items, tighter thresholds. Clean. Players self-sort. Aim purists pick Hard, build enjoyers pick Easy. No surprises.
Game-adaptive mid-run. The game watches your accuracy and dynamically tunes thresholds and shop offerings. This is rubber-banding, and players hate it when they detect it — it punishes playing well. If you do this, expose it as transparent feedback ("95% accuracy → threshold +30%, +1 score multiplier"), not hidden math.

I'd push hard for option 1. Honest, simple, marketable ("Pure Mode: no items, leaderboard accuracy" vs "Build Mode: chaos").

A worth-considering third option: per-run handicap stacking (Hades' Heat). Stack modifiers (less ammo, smaller cursor, +X% threshold, fewer item slots) for higher score multipliers. One player covers 50 different difficulty curves; no locked modes; the same shop scales naturally.

The deeper trap: not all items substitute for aim equally

The inverse-relationship pitch only works if items genuinely substitute for aim. They don't, equally. Two distinct item families:

Multipliers (helps everyone proportionally): bleed, crit, damage types, mag-dump bonus, marks, bullseye crits
Aim substitutes (helps bad aim more): AoE, chain, hover-DPS, cursor size, hold-to-draw lasers, charge shots with wider hitboxes

If hard mode just gives "fewer items" without distinguishing those families, all you've done is gate raw DPS — the game still plays the same. To make hard mode feel different, restrict the aim-substitute family specifically. Hard = multipliers only. Easy = anything goes. Now hard mode is genuinely about your mouse and easy mode is genuinely a build sandbox.

Mapping the confirmed axes to a DPS-check frame

AoE + chain — pure DPS multiplier vs. swarms, weak vs. single-boss waves. Wave variety becomes the balance lever; chain builds dominate horde waves but flounder against the Angel.
Damage types — only matter if there's interaction. Two design routes: (a) targets have weaknesses (rock-paper-scissors), (b) types don't matter to targets but synergize with each other (🔥 + 🛢️ ignites, ❄️ + ⚡ shatters frozen). I'd take (b) — keeps targets readable without an elemental-chart memorization tax. Synergy lives in your build, not in enemy charts.
Hold-to-draw lasers — sustained DPS, forgiving tracking aim. Probably its own weapon class rather than an item modifier; mixing click-shots and laser-holds in one build is a UX mess.
Charge shots — burst DPS, punishing miss cost (full charge wasted). High skill ceiling. Natural pair with bullseye-precision builds.
Cursor-state stacks — want both directions in the item pool (stillness-stackers and motion-stackers) so they fight for build identity. Don't unify them into one stat.
Hover — already strong (Eyeball). With AoE + chain + hover, you've got three "click less, damage more" axes; need to make sure they don't all collapse into the same playstyle of "drag cursor across stuff."

Items that emerge from the DPS-check loop specifically

Score-bank items — damage above the threshold banks toward next wave. Rewards over-performing.
Threshold-skip items — bullseye-only kills accumulate a charge; cash in to skip a wave's threshold entirely. Pure aim reward, satisfying.
Clock items — slow the threshold timer for X seconds on a perfect mag-dump. Tempo lever rather than damage lever.
Streak items — every consecutive wave cleared >120% of threshold compounds a multiplier. Punishes coasting.

One thing worth pinning down

You haven't named what a wave looks like, and "DPS check" cuts a lot of variance. Worth being explicit that the wave taxonomy becomes the aim curriculum:

Single big HP pool → tracking + sustained DPS
Swarm of weak targets → flicks + AoE
Boss + adds → switching priority
Targets with different point values → triage
Bullseye-only-counts wave → precision pressure
Tracking lines (target on a path) → smooth tracking

If every wave is "horde of bullseyes," the game gets samey fast even with great items. The screenshots already imply variety (Angel boss vs. green target horde vs. giant single boss), so you know this — but the wave types should probably be designed first, with items balanced to them, not the other way around.

Let's get started on this game. No plan file, no design file, just get started and let's go as we go. Copy the relevant visual style from emoji ball battles, I believe emoji ball bounce is the most recent emoji-like game we tried, so that has a distillation of the style in Anchor2 already, but I might be wrong. Create it all in E:/a327ex/emoji-aimer/. Get full size emojis (512x512) from https://emojipedia.org/twitter, use the twitter emoji set. To get the full size for an emoji, select the emoji i.e. https://emojipedia.org/twitter/2026-01-09-update/alien, then on its page you can find the full image size file (I have to click + open image in new tab) and it gives me the full size image, i.e. https://em-content.zobj.net/source/twitter/450/alien_1f47d.png. You may have another way of getting emojis, but the important thing is getting the 512x512 sized ones. Come back to me when you have the game running with a single target that I can click on and that gets destroyed after I click it 3 times. Make sure that clicking the target feels juicy according to the general way I do juice in these games. I believe you can use emoji_particle, spring, hit flash, etc.

Starting with exploration — need to find the emoji ball bounce reference, understand the Anchor2 framework, and figure out emoji loading patterns.

Bash (ls E:/a327ex/Anchor2/)

app/
arena/
docs/
engine/
framework/
reference/
scripts/

Bash (ls E:/a327ex/ | head -50)

Anchor/
Anchor-YueScript/
Anchor-lua/
Anchor2/
BYTEPATH/
Danpenzero/
Null/
Orblike/
Psyonia/
RETICLE/
RTFX/
Ricochet/
SNKRX/
a327ex.com-blog/
anchor.blot.im/
cute_action.mp3
cute_action.wav
emoji-ball-battles/
emoji-ball-battles-generated/
emoji-ball-bounce/
it-follows/
lane-battle/
ld54-remake/
meal_prep.md
music-theory/
neural-networms/
notes/
petri/
private/
ref1.png
... [5 more lines]

Bash (ls E:/a327ex/emoji-ball-bounce/)

anchor/
anchor.exe*
assets/
design.md
main.lua
reference/
run.bat

Bash (ls E:/a327ex/Anchor2/framework/)

anchor/
run-web.bat
run.bat

Bash (ls E:/a327ex/Anchor2/arena/)

ARENA_PROGRESS.md
anchor/
anchor.exe*
assets/
main.lua
run.bat

ToolSearch

[
  {
    "type": "tool_reference",
    "tool_name": "TodoWrite"
  }
]

Read (E:/a327ex/emoji-ball-bounce/main.lua)

1    --[[
2     Emoji Ball Bounce — Anchor 2.
3   
4     Physics scaffold. 480x270 viewport at scale 3, 200x200 EBB-style arena
5     centered, four sealed-corner static walls. Balls bounce under EBB physics
6     (restitution 1, no friction, no damping, gravity 1, CCD bullet) with all
7     six EBB collision energy systems ported, plus two single-ball-only
8     additions (wall-hit-driven bypass, horizontal-bias kick) and EBB-faithful
9     directional squash on wall hits.
10  
11    Input:
12      space     — spawn an additional ball at a random arena position
13      backspace — reset to one ball at center
14  
15    Energy systems (see arena_energy block for details):
16      1. ball energy boost (+9% per ball-ball)
17      2. wall energy boost (probabilistic, shaped by system_energy)
18      3. ball-ball energy redistribution
19      4. high-speed bypass (multi-ball ball-ball, EBB-faithful 0.7 scale)
20         single-ball variant: wall-hit-driven, cubic_in curve, 0.92 scale
21      5. low-horizontal kick (multi-ball)
22      6. stuck-ball hop (per-ball, in ball:update)
23      + horizontal-bias kick on floor contacts when below midline > 1s
24  
25    Render pipeline:
26      1. queue draws into game_layer (and bg/ui)
27      2. layer_render(...) flushes queued commands to each layer's FBO
28      3. derive shadow_layer := game_layer + shadow shader
29         derive game_outline := game_layer + outline shader
30      4. composite: bg -> shadow (offset +4,+4) -> outline -> game -> ui
... [567 more lines]

Bash (ls E:/a327ex/emoji-ball-bounce/assets/ | head -30)

LanaPixel.ttf
ball_wall.ogg
concrete_2.ogg
concrete_5.ogg
concrete_8.ogg
outline.frag
revolver_shot1.ogg
revolver_shot2.ogg
revolver_shot3.ogg
shadow.frag
slight_smile.png
star.png

Now I have the visual style reference. Let me check what's in reference/ and the Anchor2 framework files.

Read (E:/a327ex/emoji-ball-bounce/assets/shadow.frag)

1    // Shadow shader - creates a dark, semi-transparent silhouette
2   // Draw this layer at an offset to create drop shadow effect
3   
4   in vec2 TexCoord;
5   out vec4 FragColor;
6   uniform sampler2D u_texture;
7   
8   void main() {
9       float a = texture(u_texture, TexCoord).a;
10      FragColor = vec4(0.5, 0.5, 0.5, a * 0.5);
11  }
12

Read (E:/a327ex/emoji-ball-bounce/assets/outline.frag)

1    // Outline shader - samples neighbors to detect alpha edges
2   // Outputs black where any neighbor has alpha, creating silhouette outline
3   in vec2 TexCoord;
4   out vec4 FragColor;
5   uniform sampler2D u_texture;
6   uniform vec2 u_pixel_size;
7   
8   void main() {
9       // Sample center pixel
10      vec4 center = texture(u_texture, TexCoord);
11  
12      // Sample 24 neighbors in 5x5 grid (excluding center)
13      float x = u_pixel_size.x;
14      float y = u_pixel_size.y;
15  
16      float a = 0.0;
17      // Row -2
18      a += texture(u_texture, TexCoord + vec2(-2.0*x, -2.0*y)).a;
19      a += texture(u_texture, TexCoord + vec2(-1.0*x, -2.0*y)).a;
20      a += texture(u_texture, TexCoord + vec2( 0.0,   -2.0*y)).a;
21      a += texture(u_texture, TexCoord + vec2( 1.0*x, -2.0*y)).a;
22      a += texture(u_texture, TexCoord + vec2( 2.0*x, -2.0*y)).a;
23      // Row -1
24      a += texture(u_texture, TexCoord + vec2(-2.0*x, -1.0*y)).a;
25      a += texture(u_texture, TexCoord + vec2(-1.0*x, -1.0*y)).a;
26      a += texture(u_texture, TexCoord + vec2( 0.0,   -1.0*y)).a;
27      a += texture(u_texture, TexCoord + vec2( 1.0*x, -1.0*y)).a;
28      a += texture(u_texture, TexCoord + vec2( 2.0*x, -1.0*y)).a;
29      // Row 0 (skip center)
30      a += texture(u_texture, TexCoord + vec2(-2.0*x,  0.0)).a;
... [25 more lines]

Bash (ls E:/a327ex/emoji-ball-bounce/reference/ 2>/dev/null; ls E:/a327ex/emoji-ball-b...)

emoji-merge-main/
emojunky-one/
main.lua
super emoji box/
super emoji pop/
super-emoji-box/
super-emoji-invaders/
super-emoji-pop-prototype/
animation.lua
array.lua
camera.lua
class.lua
collider.lua
color.lua
font.lua
helpers.lua
image.lua
init.lua
input.lua
layer.lua
math.lua
memory.lua
object.lua
physics.lua
shake.lua
spring.lua
spritesheet.lua
timer.lua

Bash (cat E:/a327ex/emoji-ball-bounce/run.bat 2>/dev/null; echo "---"; cat E:/a327ex/A...)

@echo off
REM Run Emoji Ball Bounce. CWD must be repo root; engine receives the game folder name.

cd /d "%~dp0.."
"%~dp0anchor.exe" emoji-ball-bounce
---
@echo off
cd /d "%~dp0"
..\engine\build\anchor.exe .

Grep (emoji_particle)

Found 2 files
emoji-ball-bounce\design.md
emoji-ball-bounce\reference\main.lua

Grep (emoji_particle)

No files found

Grep (hit_flash|hitflash|hit flash)

Found 5 files
Anchor2\arena\main.lua
Anchor2\docs\FRAMEWORK_API.md
Anchor2\app\anchor\spring.lua
Anchor2\arena\anchor\spring.lua
Anchor2\framework\anchor\spring.lua

Grep (emoji_particle|hit_flash)

Found 13 files
emoji-ball-battles\main.lua
emoji-ball-battles\reference\yue\main.yue
emoji-ball-battles\reference\archives\IMPLEMENTATION_PLAN.md
emoji-ball-battles\reference\emoji_effects_documentation.md
emoji-ball-battles\reference\effects_api_gaps.md
emoji-ball-battles\reference\super emoji pop\main.lua
emoji-ball-battles\reference\emoji-merge-main\main.lua
emoji-ball-battles\reference\emoji-merge-main\README.md
emoji-ball-battles\reference\super-emoji-pairs\src\main.lua
emoji-ball-battles\reference\super-emoji-invaders\src\main.lua
emoji-ball-battles\reference\emojunky-one\entities.lua
emoji-ball-battles\reference\emojunky-one\main.lua
emoji-ball-battles\reference\emojunky-one\particles.lua

TodoWrite

Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

Read (E:/a327ex/emoji-ball-bounce/reference/main.lua)

1    --[[
2     Emoji Ball Bounce — Anchor 2.
3   
4     Variant of Ricochet (ball bouncing inside a square, projectiles spawn on
5     wall hits) using the Emoji Ball Battles visual style: chunky pixel art at
6     480x270/scale=3, sky gradient background, every actor wrapped in a black
7     pixel outline plus a soft drop shadow.
8   
9     This iteration adds the chamber + ball:
10      - chamber rendered as four green rounded-rect "sticks" (emoji-merge
11        arena look) with continuous rotation and [/] resize, ported from
12        Ricochet
13      - ball is the slight_smile emoji at radius 10, bounces inside the
14        chamber at constant speed (Ricochet's velocity-renormalization
15        approach — the simplest thing that keeps a Box2D ball alive)
16  
17    Render pipeline (mirrors EBB, simplified to a single source layer):
18      1. queue draws into game_layer (and bg/ui)
19      2. layer_render(...) flushes queued commands to each layer's FBO
20      3. derive shadow_layer  := game_layer + shadow shader
21         derive game_outline  := game_layer + outline shader
22      4. composite: bg → shadow (offset +4,+4) → outline → game → ui
23  ]]
24  
25  require('anchor')({
26    width  = 640,
27    height = 360,
28    title  = 'Emoji Ball Bounce',
29    scale  = 3,
30    filter = 'rough',
... [866 more lines]

Grep (image_load|fonts.|font_register)

No matches found

Bash (ls E:/a327ex/Anchor2/framework/anchor/ | head -30)

animation.lua
array.lua
camera.lua
class.lua
collider.lua
color.lua
font.lua
helpers.lua
image.lua
init.lua
input.lua
layer.lua
math.lua
memory.lua
object.lua
physics.lua
shake.lua
spring.lua
spritesheet.lua
timer.lua

Bash (ls E:/a327ex/emoji-ball-bounce/anchor.exe E:/a327ex/Anchor2/engine/build/anchor....)

E:/a327ex/Anchor2/engine/build/anchor.exe*
E:/a327ex/emoji-ball-bounce/anchor.exe*

Grep (^function image_load|^function font_register)

E:\a327ex\Anchor2\framework\anchor\image.lua:20:function image_load(name, path)
E:\a327ex\Anchor2\framework\anchor\image.lua-21-  local handle = texture_load(path)
E:\a327ex\Anchor2\framework\anchor\image.lua-22-  local img = image(handle)
E:\a327ex\Anchor2\framework\anchor\image.lua-23-  if images then images[name] = img end
E:\a327ex\Anchor2\framework\anchor\image.lua-24-  return img
E:\a327ex\Anchor2\framework\anchor\image.lua-25-end
--
E:\a327ex\Anchor2\framework\anchor\font.lua:39:function font_register(name, path, size, filter)
E:\a327ex\Anchor2\framework\anchor\font.lua-40-  local f = font(name, path, size, filter)
E:\a327ex\Anchor2\framework\anchor\font.lua-41-  if fonts then fonts[name] = f end
E:\a327ex\Anchor2\framework\anchor\font.lua-42-  return f
E:\a327ex\Anchor2\framework\anchor\font.lua-43-end

Bash (curl -sSL -o /tmp/bullseye_test.png "https://em-content.zobj.net/source/twitter/...)

/tmp/bullseye_test.png: XML 1.0 document, ASCII text
-rw-r--r-- 1 adn 197121 263 May  4 14:09 /tmp/bullseye_test.png

Read (/tmp/bullseye_test.png)

File does not exist. Note: your current working directory is E:\a327ex.

Bash (cat /tmp/bullseye_test.png | head -20)

<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>AccessDenied</Code><Message>Access Denied</Message><RequestId>TD30CX9Q3J1365S1</RequestId><HostId>3ESoBteinoyzN2NgKF2XmW7flnVzh0qAjxq8TrXvpnuieeMaaG876yEnYa1+P7sd0raeMr86JssbjYfbEOLoyDOYCVlP4Oz4</HostId></Error>

Bash (curl -sSL -A "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTM...)

/tmp/bullseye_test.png: XML 1.0 document, ASCII text
-rw-r--r-- 1 adn 197121 263 May  4 14:09 /tmp/bullseye_test.png

ToolSearch

[
  {
    "type": "tool_reference",
    "tool_name": "WebFetch"
  }
]

WebFetch (https://emojipedia.org/twitter/bullseye)

Request failed with status code 403

WebFetch (https://emojipedia.org/twitter/2026-01-09-update/direct-hit)

Request failed with status code 403

Bash (curl -sSL -A "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTM...)

https://em-content.zobj.net/social/emoji/direct-hit.png\
https://em-content.zobj.net/social/emoji/direct-hit.png\
https://em-content.zobj.net/social/emoji/direct-hit.png
https://em-content.zobj.net/social/emoji/direct-hit.png

Bash (curl -sSL -A "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTM...)

https://em-content.zobj.net/social/emoji_set/twitter/2026-01-09-update.png\
https://em-content.zobj.net/social/emoji_set/twitter/2026-01-09-update.png\
https://em-content.zobj.net/social/emoji_set/twitter/2026-01-09-update.png
https://em-content.zobj.net/social/emoji_set/twitter/2026-01-09-update.png

Bash (curl -sSL -A "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTM...)

https://em-content.zobj.net/social/emoji/direct-hit.png
https://em-content.zobj.net/source/twitter/450/direct-hit_1f3af.png
https://em-content.zobj.net/social/emoji/direct-hit.png\
https://em-content.zobj.net/social/emoji/direct-hit.png\
https://em-content.zobj.net/social/emoji/direct-hit.png

Bash (curl -sSL -A "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTM...)

/tmp/direct-hit.png: PNG image data, 512 x 512, 8-bit/color RGBA, non-interlaced
-rw-r--r-- 1 adn 197121 41760 May  4 14:10 /tmp/direct-hit.png

Got the URL pattern. Now I'll set up the project structure and download all needed emojis in parallel.

TodoWrite

Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

Bash (mkdir -p E:/a327ex/emoji-aimer/assets E:/a327ex/emoji-aimer/anchor && cp -r E:/a...)

anchor/
anchor.exe*
assets/
---
LanaPixel.ttf
outline.frag
shadow.frag
star.png

Bash (UA="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Ge...)

E:/a327ex/emoji-aimer/assets/direct_hit.png: PNG image data, 512 x 512, 8-bit/color RGBA, non-interlaced
E:/a327ex/emoji-aimer/assets/collision.png:  PNG image data, 512 x 512, 8-bit/color RGBA, non-interlaced
E:/a327ex/emoji-aimer/assets/sparkles.png:   PNG image data, 512 x 512, 8-bit/color RGBA, non-interlaced

Bash (grep -nE "^function (mouse|input|cursor|sync_engine|key)" E:/a327ex/Anchor2/fr...)

33:function input_down(action) return is_down(action) end
34:function input_pressed(action) return is_pressed(action) end
35:function input_released(action) return is_released(action) end
38:function input_axis(neg, pos) return input_get_axis(neg, pos) end
39:function input_vector(left, right, up, down) return input_get_vector(left, right, up, down) end
40:function input_hold_duration(name) return input_get_hold_duration(name) end
41:function input_last_type() return input_get_last_type() end
42:function input_pressed_action() return input_get_pressed_action() end
45:function input_capture_start() input_start_capture() end
46:function input_capture_get() return input_get_captured() end
47:function input_capture_stop() input_stop_capture() end
50:function input_deadzone(d) input_set_deadzone(d) end

Bash (grep -nE "mouse_x|mouse_y|mouse_position|cursor_x" E:/a327ex/Anchor2/framework/a...)

E:/a327ex/Anchor2/framework/anchor/camera.lua:209:  local mx, my = mouse_position()

Bash (grep -nE "shake_|camera_shake" E:/a327ex/Anchor2/framework/anchor/shake.lua | he...)

11:    shake_push(camera.shake, angle, amount)
12:    shake_shake(camera.shake, amplitude, duration)
13:    shake_trauma(camera.shake, amount, duration)
16:    local ox, oy, r, z = shake_get_effects(camera.shake)
20:  shake_new()
23:function shake_new()
36:    shake_instances = {},
61:  shake_trauma(s, amount, [duration], [amplitude])
66:function shake_trauma(s, amount, duration, amplitude)
76:  shake_set_trauma_parameters(s, amplitude)
79:function shake_set_trauma_parameters(s, amplitude)
87:  shake_shake(s, amplitude, duration, [frequency])
91:function shake_shake(s, amplitude, duration, frequency)
93:  s.shake_instances[#s.shake_instances + 1] = {
105:  shake_push(s, angle, amount, [frequency], [bounce])
109:function shake_push(s, angle, amount, frequency, bounce)
122:  shake_sine(s, angle, amplitude, frequency, duration)
125:function shake_sine(s, angle, amplitude, frequency, duration)
136:  shake_square(s, angle, amplitude, frequency, duration)
139:function shake_square(s, angle, amplitude, frequency, duration)

Bash (grep -nE "^(function )?mouse_position|^(function )?camera_attach|^(function )?la...)

153:function camera_attach(c, layer, parallax_x, parallax_y)

Bash (grep -nE "^function" E:/a327ex/Anchor2/framework/anchor/camera.lua | head -30)

44:function camera_new(w, h)
73:function camera_follow(c, target, lerp, lerp_time, lead)
93:function camera_set_bounds(c, min_x, max_x, min_y, max_y)
105:function camera_get_effects(c)
113:function camera_to_world(c, sx, sy)
133:function camera_to_screen(c, wx, wy)
153:function camera_attach(c, layer, parallax_x, parallax_y)
170:function camera_detach(c, layer)
180:function camera_update(c, dt)

Bash (grep -nE "mouse_|input_pressed.*click|button:" E:/a327ex/Anchor2/arena/main.lua ...)

(Bash completed with no output)

Bash (grep -nE "mouse_is_pressed|mouse_pressed|mouse_position|mouse_x" E:/a327ex/Ancho...)

E:/a327ex/Anchor2/framework/anchor/camera.lua:209:  local mx, my = mouse_position()

Read (E:/a327ex/Anchor2/framework/anchor/camera.lua)

200    -- Apply bounds
201   if c.bounds then
202     local half_w = c.w/(2*c.zoom)
203     local half_h = c.h/(2*c.zoom)
204     c.x = math.clamp(c.x, c.bounds.min_x + half_w, c.bounds.max_x - half_w)
205     c.y = math.clamp(c.y, c.bounds.min_y + half_h, c.bounds.max_y - half_h)
206   end
207 
208   -- Update mouse world position
209   local mx, my = mouse_position()
210   c.mouse.x, c.mouse.y = camera_to_world(c, mx, my)
211 
212   -- Update shake
213   shake_update(c.shake, dt)
214 end
215

Bash (grep -nE "mouse_position|mouse_button|MOUSE_" E:/a327ex/Anchor2/docs/FRAMEWORK_A...)

172:mouse_position() -> x, y

Bash (grep -nE "mouse|cursor|spring_|hit_circle|emoji_particle" E:/a327ex/Anchor2/docs...)

146:bind(action, control)               -- control: 'key:a', 'mouse:1', etc.
168:Raw mouse/keyboard queries (engine C functions, always available):
171:mouse_is_down(button), mouse_is_pressed(button), mouse_is_released(button)
172:mouse_position() -> x, y
173:mouse_delta() -> dx, dy
174:mouse_wheel() -> wx, wy
316:camera_update(c, dt)                 -- follow + bounds + mouse + shake
333:camera.mouse.x, camera.mouse.y  -- mouse in world coords, updated by camera_update
545:spring at value 1 is created by `spring_new()`.
548:spring_new() -> s                             -- auto-adds 'main' at x=1
549:spring_add(s, name, x?, frequency?, bounce?)  -- frequency default 5, bounce default 0.5
550:spring_pull(s, name, force, frequency?, bounce?)
551:spring_set_target(s, name, value)
552:spring_at_rest(s, name, threshold?) -> bool
553:spring_update(s, dt)

Bash (grep -nE "^function (collection_update|process_destroy_queue|make_entity|sync_en...)

E:/a327ex/Anchor2/framework/anchor/helpers.lua:10:function collection_update(list, dt, method)
E:/a327ex/Anchor2/framework/anchor/init.lua:101:function sync_engine_globals()
E:/a327ex/Anchor2/framework/anchor/object.lua:74:function make_entity(e)
E:/a327ex/Anchor2/framework/anchor/object.lua:97:function process_destroy_queue()
E:/a327ex/Anchor2/framework/anchor/timer.lua:44:function timer_new()
E:/a327ex/Anchor2/framework/anchor/timer.lua:80:function timer_after(t, delay, name_or_callback, callback_function)
E:/a327ex/Anchor2/framework/anchor/timer.lua:125:function timer_tween(t, duration, name_or_target, target_or_values, values_or_easing, easing_or_after, after_function)
E:/a327ex/Anchor2/framework/anchor/timer.lua:298:function timer_update(t, dt)

Bash (grep -nE "mouse_position|^void.*mouse|x, y *= scale|raw_mouse" E:/a327ex/Anchor...)

7951:static int l_mouse_position(lua_State* L) {
9250:    lua_register(L, "mouse_position", l_mouse_position);

Read (E:/a327ex/Anchor2/engine/src/anchor.c)

7951 static int l_mouse_position(lua_State* L) {
7952        float gx, gy;
7953        mouse_to_game_coords(mouse_x, mouse_y, &gx, &gy);
7954        lua_pushnumber(L, gx);
7955        lua_pushnumber(L, gy);
7956        return 2;
7957    }
7958    
7959    static int l_mouse_delta(lua_State* L) {
7960        // Delta is in window pixels, scale to game pixels
7961        int window_w, window_h;
7962        SDL_GetWindowSize(window, &window_w, &window_h);
7963        float scale_x = (float)window_w / game_width;
7964        float scale_y = (float)window_h / game_height;
7965        float scale = (scale_x < scale_y) ? scale_x : scale_y;

Bash (grep -nE "spring_pull|spring_add|spring_new" E:/a327ex/Anchor2/framework/anchor/...)

5:    self.spring = spring_new()                       -- in constructor
6:    spring_add(self.spring, 'scale', 1, 5, 0.5)      -- name, initial value, frequency, bounce
7:    spring_pull(self.spring, 'scale', 0.3)           -- apply impulse
13:  A default 'main' spring at value 1 is created on spring_new() for convenience.
24:  spring_new()
27:function spring_new()
31:  spring_add(s, 'main', 1)
36:  spring_add(s, name, [x], [frequency], [bounce])
40:function spring_add(s, name, x, frequency, bounce)
59:  spring_pull(s, name, force, [frequency], [bounce])

Bash (grep -nE "^function shake_shake|^function shake_handcam" E:/a327ex/Anchor2/frame...)

91:function shake_shake(s, amplitude, duration, frequency)
153:function shake_handcam(s, enabled, amplitude, frequency)

Write (E:/a327ex/emoji-aimer/run.bat)

File created successfully at: E:/a327ex/emoji-aimer/run.bat

Write (E:/a327ex/emoji-aimer/main.lua)

File created successfully at: E:/a327ex/emoji-aimer/main.lua

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Bash (grep -nE "^function layer_image|^function layer_circle|^function layer_rectangle...)

112:function layer_circle(lyr, x, y, radius, color)
120:function layer_circle_line(lyr, x, y, radius, color, line_width)
152:function layer_rounded_rectangle(lyr, x, y, w, h, radius, color)
156:function layer_rounded_rectangle_line(lyr, x, y, w, h, radius, color, line_width)
160:function layer_rectangle_gradient_h(lyr, x, y, w, h, color1, color2)
164:function layer_rectangle_gradient_v(lyr, x, y, w, h, color1, color2)
169:function layer_image(lyr, img, x, y, color, flash)
198:function layer_push(lyr, x, y, r, sx, sy)
202:function layer_pop(lyr)
211:function layer_draw(lyr, x, y)
247:function layer_clear(lyr)
252:function layer_render(lyr)
256:function layer_draw_from(lyr, source, shader)

Bash (grep -nE "shader_load_file|shader_set_vec2_immediate" E:/a327ex/Anchor2/framewor...)

E:/a327ex/Anchor2/engine/src/anchor.c:4698:static GLuint effect_shader_load_file(const char* path);
E:/a327ex/Anchor2/engine/src/anchor.c:5430:static int l_shader_load_file(lua_State* L) {
E:/a327ex/Anchor2/engine/src/anchor.c:5437:    GLuint shader = effect_shader_load_file(path);
E:/a327ex/Anchor2/engine/src/anchor.c:5491:static int l_shader_set_vec2_immediate(lua_State* L) {
E:/a327ex/Anchor2/engine/src/anchor.c:9134:    lua_register(L, "shader_load_file", l_shader_load_file);
E:/a327ex/Anchor2/engine/src/anchor.c:9138:    lua_register(L, "shader_set_vec2_immediate", l_shader_set_vec2_immediate);
E:/a327ex/Anchor2/engine/src/anchor.c:9751:static GLuint effect_shader_load_file(const char* path) {

TodoWrite

Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

Bash (ls E:/a327ex/emoji-aimer/ && echo "--- assets ---" && ls E:/a327ex/emoji-aimer/a...)

anchor/
anchor.exe*
assets/
main.lua
run.bat
--- assets ---
LanaPixel.ttf
collision.png
direct_hit.png
outline.frag
shadow.frag
sparkles.png
star.png
--- anchor ---
animation.lua
array.lua
camera.lua
class.lua
collider.lua

Ready to test. Project is at E:/a327ex/emoji-aimer/ — run run.bat to launch.

What's built:

Single 🎯 target at center (480×270 internal, scale 3 — so 1440×810 window)
3 HP, click anywhere within its radius to damage
Visual style ported from emoji-ball-bounce: sky gradient bg, handcam camera jitter, layer pipeline with shadow + outline shaders, Twitter emoji palette

Juice on each click:

Spring squash on the target
White hit-flash for 80ms
Yellow hit_circle ring expanding then shrinking
3–5 yellow hit_particle capsules flying outward with gravity
2–3 ⭐ emoji_particles spinning out
Camera shake (4px / 0.15s)

Juice on death (3rd hit):

Bigger orange ring
8–12 hit particles in yellow + orange
8–12 💥 emoji particles (collision)
4–8 ✨ sparkle emoji particles
Bigger camera shake (8px / 0.35s)
New target respawns after 0.5s

Files of note:

main.lua — game code, ported hit_circle / hit_particle / emoji_particle classes from emoji-ball-bounce/reference/main.lua
assets/direct_hit.png, assets/collision.png, assets/sparkles.png — fresh 512×512 Twitter emojis from emojipedia
assets/star.png, shadow.frag, outline.frag, LanaPixel.ttf — copied from emoji-ball-bounce/assets/
anchor/, anchor.exe — copied from Anchor2/framework/anchor/ and Anchor2/engine/build/anchor.exe

Syntax-checked clean with lua54.exe. Let me know how it feels — I'd expect some tuning needed on shake amplitude, spring frequency, and particle counts/speeds once you see it move.

Decrease the size of the target by half, remove all sparkle emojis, only use star. Don't use boom emojis either. On hit, spawn 2-4 hit_particles and 2-3 emoji_particles that are stars. Their current other settings are fine. On death, just destroy the target and only spawn yellow hit_particles that are thicker and last longer than normal. Don't do any orange ring, just do the white hit circle as normal. For normal hits also have the hit circle as white. Decrease spring by half. Remove all screen shake.

Making the changes. Quick note on "remove all screen shake" — I'm reading that as the impact shakes (shake_shake calls). The always-on handcam jitter is set up by shake_handcam and is more of a camera idle than a screen shake; happy to remove it too if that's what you meant.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Syntax clean. Changes applied:

Target: radius 24 → 12 (half size)
Images: dropped collision_img and sparkles_img loads; only direct_hit_img and star_img remain
hit_particle class: now accepts optional w / h overrides for the death effect's thicker capsules
On hit: spring pull 0.6 → 0.3 (half), hit_circle color yellow → white, hit_particles 3-5 → 2-4, star count unchanged, shake removed
On death: just a regular white hit_circle (same as a normal hit) + 4-8 yellow hit_particles with w=14, h=8 (thicker than the auto-sized 4-12/2-6) and duration 0.7-1.0 (longer than normal 0.3-0.5). No emoji particles, no orange, no shake.

Open question I left in: the always-on shake_handcam camera jitter is still on. Tell me if you want that off too.

The unused collision.png and sparkles.png are still on disk under assets/ — leave or delete?

Increase the default spin velocity of star particles, make them even faster for the death effect. Make death effect star particles also have a higher scaling factor so they look bigger initially. Randomize duration for star particles and hit particles if they haven't been yet. Randomize velocity for hit particles on death more so the difference between lower and higher velocity is higher. Randomize duration of all particles so that they're slightly more random too along these same lines, especially for the death effect.

A couple things I want to flag before editing:

"Randomize duration for star particles and hit particles if they haven't been yet" — current spawn calls already randomize duration via random_float(...). The class defaults (when args.duration is omitted) aren't always random — hit_particle's default is hard-coded 0.3. I'll randomize that default and widen the existing ranges per your "slightly more random" + "especially for death" guidance.
"Make them even faster for the death effect" — there are no star particles on death right now (last round you asked to remove them). I'm reading this as: add a star burst back on death, with higher rotation speed and bigger scale than hit stars. Tell me if you meant otherwise.

Making the changes.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Syntax clean. Summary of changes:

Class defaults:

hit_particle.duration default: 0.3 → random_float(0.25, 0.5) (was constant; now random)
emoji_particle.rotation_speed default: ±2π → ±4π (doubled spin)

On hit:

hit_particle duration: 0.3-0.5 → 0.25-0.6 (slightly wider)
star duration: 0.4-0.6 → 0.3-0.8 (wider both directions)

On death:

hit_particle velocity: 180-300 → 100-450 (much wider — slow stragglers vs fast streaks)
hit_particle duration: 0.7-1.0 → 0.5-1.4 (much wider)
Added back: 3-5 star emoji_particles with explicit overrides — scale 1.6-2.4 (bigger than hit's 1), rotation_speed ±8π (double the new class default), duration 0.6-1.2, velocity 120-240

Everything from hit and death should be spawned on mouse position not target center position.

Read (E:/a327ex/emoji-aimer/main.lua)

230    end
231 end
232 
233 function emoji_particle:draw()
234   local s = self.scale * self.spring.main.x
235   layer_push(effects_layer, self.x, self.y, self.rotation, s, s)
236   layer_image(effects_layer, self.image, 0, 0, nil, self.flashing and white())
237   layer_pop(effects_layer)
238 end
239 
240 function emoji_particle:destroy() end
241 
242 -- =============================================================================
243 -- target — direct_hit emoji at TARGET_HP hp. Hit detection is a simple radius
244 -- check against the cursor at click time. Each hit pulls the spring, briefly
245 -- white-flashes the sprite, spawns an FX burst, and shakes the camera. On
246 -- 0 HP the target dies in a bigger burst and respawn_timer schedules a new
247 -- one at center after RESPAWN_DELAY.
248 -- =============================================================================
249 target = class()
250 
251 function target:new(x, y)
252   self.x, self.y    = x, y
253   self.radius       = TARGET_RADIUS
254   self.hp           = TARGET_HP
255   self.flashing     = false
256   make_entity(self)
257   self.timer        = timer_new()
258   self.spring       = spring_new()
259   spring_add(self.spring, 'hit', 1, 3, 0.5)
... [90 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Read (E:/a327ex/emoji-aimer/main.lua)

375    return t
376 end
377 
378 -- -----------------------------------------------------------------------------
379 -- init
380 -- -----------------------------------------------------------------------------
381 spawn_target(gw/2, gh/2)
382 
383 -- -----------------------------------------------------------------------------
384 -- main loop
385 -- -----------------------------------------------------------------------------
386 function update(dt)
387   sync_engine_globals()
388 
389   collection_update(targets, dt)
390   collection_update(effects, dt)
391   timer_update(respawn_timer, dt)
392 
393   -- click-to-hit. mouse_position() returns game coords (480x270 space).
394   if input_pressed('click') then
395     local mx, my = mouse_position()
396     for _, t in ipairs(targets) do
397       if not t._dead and t:contains(mx, my) then
398         t:hit()
399         break
400       end
401     end
402   end
403 
404   -- respawn after all targets dead. Schedule once when we first detect the
... [5 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Done. target:hit and target:die now take (mx, my) and pass that into every spawn_hit_circle / spawn_hit_particle / spawn_emoji_particle call — so the ring and particles fire from where you clicked, not the target's center. The spring squash and white flash on the target itself stay tied to the target since those affect the sprite, not the impact location. Syntax clean.

Now let's make the cursor the hand emoji. I believe one of the games in reference/ from emoji-ball-battles must have the cursor emoji I coded once. It was fairly juicy. If you don't find it, don't code anything, tell me you didn't find it and I'll try to find it in my older repos myself.

Found 66 files
emoji-ball-battles\reference\yue\spritesheet.yue
emoji-ball-battles\reference\yue\shake.yue
emoji-ball-battles\reference\yue\object.yue
emoji-ball-battles\reference\yue\math.yue
emoji-ball-battles\reference\yue\layer.yue
emoji-ball-battles\reference\yue\init.yue
emoji-ball-battles\reference\yue\image.yue
emoji-ball-battles\reference\yue\font.yue
emoji-ball-battles\reference\yue\collider.yue
emoji-ball-battles\reference\yue\camera.yue
emoji-ball-battles\reference\yue\main.yue
emoji-ball-battles\reference\attack-design-space.md
emoji-ball-battles\reference\headless-playthrough-plan.md
emoji-ball-battles\reference\archives\IMPLEMENTATION_PLAN.md
emoji-ball-battles\reference\emoji_effects_documentation.md
emoji-ball-battles\reference\effects_api_gaps.md
emoji-ball-battles\reference\archives\EMOJI_BALL_BATTLES_DESIGN.md
emoji-ball-battles\reference\super emoji pop\lun\layer.lua
emoji-ball-battles\reference\super emoji pop\lun\sensor.lua
emoji-ball-battles\reference\super emoji pop\lun\external\mlib.lua
emoji-ball-battles\reference\super emoji box\lun\timer.lua
emoji-ball-battles\reference\super emoji pop\lun\timer.lua
emoji-ball-battles\reference\super emoji box\lun\layer.lua
emoji-ball-battles\reference\super emoji box\tools\changes.txt
emoji-ball-battles\reference\super emoji pop\tools\changes.txt
emoji-ball-battles\reference\super emoji box\lun\input.lua
emoji-ball-battles\reference\super emoji pop\lun\input.lua
emoji-ball-battles\reference\emoji-merge-main\bin\changes.txt
emoji-ball-battles\reference\emoji-merge-main\builds\web\game.js
... [37 more lines]

Bash (ls E:/a327ex/emoji-ball-battles/reference/)

archives/
attack-design-space.md
basic-emoji-anchor-game.md
bow-reference.md
earclacks-attribute-analysis.md
effects_api_gaps.md
emoji-merge-main/
emoji_effects_documentation.md
emojunky-one/
headless-playthrough-plan.md
headless-usage.md
sound_mapping.md
status-effects-research.md
super emoji box/
super emoji pop/
super-emoji-box/
super-emoji-invaders/
super-emoji-pairs/
super-emoji-pop-prototype/
yue/

Grep (cursor|index_pointing|pointing_up|backhand|hand_emoji|custom_cursor|set_cursor|hide_cursor|set_visible.false.mouse|SDL_ShowCursor)

E:\a327ex\emoji-ball-battles\anchor\font.lua:84:    bearingX - horizontal offset from cursor to glyph left edge
E:\a327ex\emoji-ball-battles\anchor\init.lua:1569:    Shows or hides the system cursor.
E:\a327ex\emoji-ball-battles\anchor\init.lua:1572:      an:mouse_set_visible(false)  -- hide cursor
E:\a327ex\emoji-ball-battles\anchor\init.lua:1579:    Locks the cursor to the window.
E:\a327ex\emoji-ball-battles\docs\ENGINE_API.md:1786:Shows or hides the system cursor.
E:\a327ex\emoji-ball-battles\docs\ENGINE_API.md:1796:Locks the cursor to the window (for FPS-style control).
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:167:### Cursor Movement Juice (Horizontal Sway)
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:170:**Visual:** Cursor rotates/sways in direction of movement, then returns
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:191:  ui\image cursor, @x, @y, @spring.r.x, @sx, @sy
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:194:### Cursor Movement Juice (Vertical Squash)
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:197:**Visual:** Cursor squashes vertically, then returns to normal
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:215:  ui\image cursor, @x, @y, @r, @sx, @sy
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:222:**Visual:** Cursor rotates and squashes on press, returns on release
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:242:  ui\image cursor, @x, @y, @click_r, @sx*@spring.main.x, @sy*@spring.main.x
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:1093:### Player Hits Emoji (Cursor Attack)
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:1098:When player cursor collides with emoji in clicker-style game:
E:\a327ex\emoji-ball-battles\reference\emoji_effects_documentation.md:1110:This demonstrates how a simple action (cursor touching emoji) can trigger a full cascade of juicy effects.
E:\a327ex\emoji-ball-battles\reference\emoji-merge-main\README.md:1545:[Omitted long matching line]
E:\a327ex\emoji-ball-battles\reference\emoji-merge-main\README.md:1806:This creates the :point_up_2: cursor, and does so in one of those completely local ways mentioned in the previous post because this is the only pointer that's going to exist. This object is a small ghost collider, because the way I'm doing anything UI related for this game is by using the physics engine, so by making the cursor a collider and any buttons colliders as well I get collision events for UI purposes for "free". This is obviously not ideal, but it's currently how I'm doing my UIs.
E:\a327ex\emoji-ball-battles\reference\emoji-merge-main\README.md:2962:What the plants actually do from a coding perspective is the following: they have some amount of wind constantly being applied to them, when emojis collide to them they also react as though something brushed against them, when the player passes the cursor above them they also react, when the boards move side to side they also have a wind force applied to them, and when an emoji falls near them they also react from the wind of that impact. 
E:\a327ex\emoji-ball-battles\main.lua:4397:  local cursor_x = 0
E:\a327ex\emoji-ball-battles\main.lua:4402:    local base_x = cursor_x
E:\a327ex\emoji-ball-battles\main.lua:4403:    cursor_x = cursor_x + advance
E:\a327ex\emoji-ball-battles\main.lua:5125:  f:write("summary{cursor:pointer;padding:4px 8px;background:#1a1a1a;border-radius:4px;}\n")
E:\a327ex\emoji-ball-battles\main.lua:5392:  f:write("summary{cursor:pointer;padding:4px 8px;background:#1a1a1a;border-radius:4px;}\n")
E:\a327ex\emoji-ball-battles\reference\yue\main.yue:3639:    cursor_x = 0
E:\a327ex\emoji-ball-battles\reference\yue\main.yue:3644:      base_x = cursor_x
E:\a327ex\emoji-ball-battles\reference\yue\main.yue:3645:      cursor_x += advance
E:\a327ex\emoji-ball-battles\reference\yue\main.yue:4261:  f\write "summary{cursor:pointer;padding:4px 8px;background:#1a1a1a;border-radius:4px;}\n"
E:\a327ex\emoji-ball-battles\reference\yue\main.yue:4481:  f\write "summary{cursor:pointer;padding:4px 8px;background:#1a1a1a;border-radius:4px;}\n"
... [12 more lines]

Read (E:/a327ex/emoji-ball-battles/reference/emoji_effects_documentation.md)

155  
156   -- Tween scale up during charge
157   @timer\tween charge_duration, @, {act_sx: 1.2, act_sy: 1.2}, math.linear
158   -- Tween color to white during charge
159   @timer\tween charge_duration, @charging_color, {r: 255, g: 255, b: 255}, math.linear, =>
160     @charging = false
161     -- Quick snap back
162     @timer\tween 0.05*charge_duration, @, {act_sx: 1, act_sy: 1}, math.cubic_in_out
163     -- Spring pull on release
164     @spring\pull 'main', 0.35, 250, 10
165 ```
166 
167 ### Cursor Movement Juice (Horizontal Sway)
168 
169 **Trigger:** Mouse stops after fast horizontal movement
170 **Visual:** Cursor rotates/sways in direction of movement, then returns
171 **Source:** super-emoji-pop
172 **Code:** `super emoji pop/main.lua:182-186` (player mouse delta tracking)
173 
174 ```yue
175 new: =>
176   @spring\add 'r', 0  -- rotation spring
177   @previous_mouse_deltas_x = {}  -- track last 10 frames
178 
179 update: (dt) =>
180   -- Store recent mouse deltas
181   table.insert @previous_mouse_deltas_x, 1, mouse_dt.x
182   if #@previous_mouse_deltas_x > 10 then @previous_mouse_deltas_x[11] = nil
183 
184   -- When mouse stops after moving: sway
... [80 more lines]

176:  self.previous_mouse_deltas_x = {}
177:  self.previous_mouse_deltas_y = {}
178:  self.mouse_dt_sy = 1
182:  self:timer_condition(function() return lun.mouse_dt.x == 0 and math.abs(array.average(self.previous_mouse_deltas_x) or 0) > 2 and lun.time - self.last_mouse_delta_x_time >= 0.2 end, function()
184:    local avg = array.average(self.previous_mouse_deltas_x)
187:  self:timer_condition(function() return lun.mouse_dt.y == 0 and math.abs(array.average(self.previous_mouse_deltas_y) or 0) > 2 and lun.time - self.last_mouse_delta_y_time >= 0.2 end, function()
189:    local avg = array.average(self.previous_mouse_deltas_y)
190:    self.mouse_dt_sy = math.clamp(math.remap(math.abs(avg), 0, 12, 1, 0.5), 0.5, 1)
191:    self:timer_tween(math.remap(math.abs(avg), 0, 12, 0.1, 0.2), self, {mouse_dt_sy = 1}, math.cubic_in_out)
193:  self.click_r = 0
194:  self.click_sx, self.click_sy = 1, 1
203:    self:timer_tween(0.05, self, {click_r = math.pi/16, click_sx = 0.9, click_sy = 0.7}, math.cubic_in_out, nil, 'click_scale')
207:    self:timer_tween(0.1, self, {click_r = 0, click_sx = 1, click_sy = 1}, math.cubic_in_out, function() self.click_sx, self.click_sy = 1, 1 end, 'click_scale')
209:  table.insert(self.previous_mouse_deltas_x, 1, lun.mouse_dt.x)
210:  if #self.previous_mouse_deltas_x > 10 then self.previous_mouse_deltas_x[11] = nil end
211:  table.insert(self.previous_mouse_deltas_y, 1, lun.mouse_dt.y)
212:  if #self.previous_mouse_deltas_y > 10 then self.previous_mouse_deltas_y[11] = nil end
214:  ui:push(self.x, self.y, 0, self.click_sx, self.mouse_dt_sy*self.click_sy)
215:    ui:draw_image('index', self.x + 7, self.y + 9, self.springs.r.x - math.pi/8 + self.click_r, self.sx*self.springs.main.x, self.sy*self.springs.main.x)

Bash (ls "E:/a327ex/emoji-ball-battles/reference/super emoji pop/" 2>&1; echo "---"; l...)

assets/
conf.lua
lun/
main.lua
todo.md
tools/
---
assets/
decorations.lua
effects.lua
enemies.lua
engine/
main.lua
player.lua
projectiles.lua
ui.lua

Read (E:/a327ex/emoji-ball-battles/reference/super emoji pop/main.lua)

160  player = class:class_new(object)
161 function player:new(x, y, args)
162   self:object('player', args)
163   self.x, self.y = x, y
164   self.r = 0
165   self.w, self.h = 22, 22
166   self.sx, self.sy = self.w/512, self.h/512
167   self:spring()
168   self:spring_add('r', 0)
169   self:spring_add('attack', 1)
170 
171   self:collider('main', 'dynamic', 'circle', 2)
172   self:collider_set_sleeping_allowed(false)
173   self:collider_set_bullet(true)
174 
175   -- Movement + click juice
176   self.previous_mouse_deltas_x = {}
177   self.previous_mouse_deltas_y = {}
178   self.mouse_dt_sy = 1
179   self.last_mouse_delta_x_time = lun.time
180   self.last_mouse_delta_y_time = lun.time
181   self:timer()
182   self:timer_condition(function() return lun.mouse_dt.x == 0 and math.abs(array.average(self.previous_mouse_deltas_x) or 0) > 2 and lun.time - self.last_mouse_delta_x_time >= 0.2 end, function()
183     self.last_mouse_delta_x_time = lun.time
184     local avg = array.average(self.previous_mouse_deltas_x)
185     self:spring_pull('r', math.clamp(math.remap(math.abs(avg), 0, 20, 0, math.sign(avg)*math.pi/4), -math.pi/4, math.pi/4))
186   end)
187   self:timer_condition(function() return lun.mouse_dt.y == 0 and math.abs(array.average(self.previous_mouse_deltas_y) or 0) > 2 and lun.time - self.last_mouse_delta_y_time >= 0.2 end, function()
188     self.last_mouse_delta_y_time = lun.time
189     local avg = array.average(self.previous_mouse_deltas_y)
... [50 more lines]

Found it. emoji-ball-battles/reference/super emoji pop/main.lua:160-218 has a juicy emoji cursor. Documented at reference/emoji_effects_documentation.md:167-244. The features:

Two springs: r (rotation) and main (uniform scale)
Horizontal sway — when mouse stops after horizontal motion, the average of the last 10 mouse deltas pulls the rotation spring toward ±π/4 (clamped, scaled by sign+magnitude)
Vertical squash — when mouse stops after vertical motion, mouse_dt_sy drops to 0.5–1.0 based on speed, then tweens back to 1 over 0.1–0.2s
Click press: spring pulls main 0.5, tweens to (click_r=π/16, click_sx=0.9, click_sy=0.7) over 0.05s
Click release: spring pulls main 0.25, tweens back to (0, 1, 1) over 0.1s
Draw: push transform with (click_sx, mouse_dt_sy*click_sy), draw the cursor image with rotation springs.r.x - π/8 + click_r and scale sx*springs.main.x. The image is drawn at (x+7, y+9) — fingertip-to-cursor offset.

The cursor emoji used is 'index' — almost certainly 👆 (backhand-index-pointing-up, 1f446), based on the emoji-merge author's note: "This creates the :point_up_2: cursor". The -π/8 base rotation tilts it up-left so the fingertip lands at the cursor position.

Before I port, one decision: which hand emoji do you want as the cursor?

ToolSearch

[
  {
    "type": "tool_reference",
    "tool_name": "AskUserQuestion"
  }
]

AskUserQuestion

User has answered your questions: "Which hand emoji do you want as the cursor?"="👆 backhand-index-pointing-up (Recommended)". You can now continue with the user's answers in mind.

Confirmed. Now let me download the emoji and check a few v2 framework details before writing code.

Bash (UA="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Ge...)

E:/a327ex/emoji-aimer/assets/backhand_index_pointing_up.png: PNG image data, 512 x 512, 8-bit/color RGBA, non-interlaced

Bash (grep -nE "^function timer_tween|^function array_average|^array.average|^function...)

E:/a327ex/Anchor2/framework/anchor/math.lua:184:function math.sign(value)
E:/a327ex/Anchor2/framework/anchor/math.lua:222:function math.clamp(value, min, max)
E:/a327ex/Anchor2/framework/anchor/math.lua:250:function math.remap(value, old_min, old_max, new_min, new_max)
E:/a327ex/Anchor2/framework/anchor/timer.lua:125:function timer_tween(t, duration, name_or_target, target_or_values, values_or_easing, easing_or_after, after_function)

Bash (grep -nE "mouse_set_visible|mouse_visible|hide_cursor|SDL_ShowCursor" E:/a327ex/...)

7973:static int l_mouse_set_visible(lua_State* L) {
7975:    SDL_ShowCursor(visible ? SDL_ENABLE : SDL_DISABLE);
9252:    lua_register(L, "mouse_set_visible", l_mouse_set_visible);

Read (E:/a327ex/Anchor2/framework/anchor/timer.lua)

115      name, callback, after = uid(t), name_or_callback, callback_or_after
116   end
117   insert_entry(t, {name = name, mode = 'during', time = 0, duration = duration, callback = callback, after = after})
118 end
119 
120 --[[
121   timer_tween(t, duration, [name,] target, values, [easing,] [after])
122   Interpolates target's fields to values over duration using easing.
123   Example: timer_tween(t, 0.5, self, {x = 100, alpha = 0}, math.cubic_out)
124 ]]
125 function timer_tween(t, duration, name_or_target, target_or_values, values_or_easing, easing_or_after, after_function)
126   local name, target, values, easing, after
127   if type(name_or_target) == 'string' then
128     name, target, values, easing, after = name_or_target, target_or_values, values_or_easing, easing_or_after, after_function
129   else
130     name, target, values, easing, after = uid(t), name_or_target, target_or_values, values_or_easing, easing_or_after
131   end
132   easing = easing or math.linear
133   local initial_values = {}
134   for key, _ in pairs(values) do
135     initial_values[key] = target[key]
136   end
137   insert_entry(t, {name = name, mode = 'tween', time = 0, duration = duration, target = target, values = values, initial_values = initial_values, easing = easing, after = after})
138 end
139 
140 --[[
141   timer_watch(t, target, field, [name,] callback, [times,] [after])
142   Fires callback(current, previous) when target[field] changes.
143   Note: v1's watch used self.parent implicitly. v2 takes the target explicitly.
144 ]]
... [30 more lines]

Bash (grep -nE "array.average|^function array|array_average" E:/a327ex/Anchor2/framew...)

50:function array.all(t, f)
72:function array.any(t, f)
84:    array.average({1, 3})    -- 2
85:    array.average({-3, 3})   -- 0
92:function array.average(t)
118:function array.count(t, v)
149:function array.delete(t, v)
179:function array.flatten(t, level)
225:function array.get(t, i, j)
254:function array.get_circular_buffer_index(t, i)
274:function array.has(t, v)
302:function array.index(t, v)
329:function array.join(t, separator)
353:function array.max(t, f)
386:function array.print(t)
412:function array.random(t, n, rng)
445:function array.remove(t, i)
469:function array.remove_random(t, n, rng)
498:function array.reverse(t, i, j)
529:function array.rotate(t, n)

Read (E:/a327ex/Anchor2/framework/anchor/timer.lua)

1    --[[
2     timer — procedural scheduler for delayed, repeating, and conditional callbacks.
3   
4     Usage:
5       self.timer = timer_new()                                     -- in your constructor
6       timer_after(self.timer, 1, function() print('fired') end)
7       timer_every(self.timer, 0.5, 'attack', function() self:attack() end)
8       timer_update(self.timer, dt)                                 -- in your update
9   
10    All schedule functions accept an optional name parameter (as first arg after
11    the timer) for naming the scheduled callback. Named callbacks can be cancelled,
12    triggered manually, and replace previous ones with the same name. Anonymous
13    callbacks get auto-generated internal IDs.
14  
15    Available schedule modes:
16      timer_after     - fire once after delay
17      timer_every     - fire repeatedly every delay (optionally N times)
18      timer_during    - fire every frame for duration, receives progress 0-1
19      timer_tween     - interpolate target properties over duration with easing
20      timer_watch     - fire when a field on a target changes
21      timer_when      - fire when a condition transitions false -> true
22      timer_cooldown  - fire every delay seconds while condition is true
23      timer_every_step  - fire N times with delays interpolating start to end
24      timer_during_step - fit as many calls as possible in duration, with varying delays
25  
26    Control:
27      timer_cancel          - cancel a named callback
28      timer_trigger         - fire a named callback immediately
29      timer_set_multiplier  - dynamically adjust timer speed
30      timer_get_time_left   - query remaining time until a named callback fires
... [30 more lines]

Bash (grep -nE "^function insert_entry|local function insert_entry|^local insert_entry...)

67:local function insert_entry(t, entry)

Bash (grep -nE "^function sync_engine_globals|time =|^time" E:/a327ex/Anchor2/framewor...)

101:function sync_engine_globals()
104:  time = engine_get_time()
154:  time = 0

Got everything I need. Writing the cursor now — singleton pattern (one cursor, no collection needed), drawn on ui_layer like the reference (no outline/no camera jitter so the fingertip stays glued to the actual mouse position).

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Read (E:/a327ex/emoji-aimer/main.lua)

385    self.click_sx, self.click_sy = 1, 1
386 
387   self.image       = backhand_index_pointing_up
388   self.image_scale = CURSOR_SIZE / self.image.width
389 end
390 
391 function cursor:update(dt)
392   timer_update(self.timer, dt)
393   spring_update(self.spring, dt)
394 
395   self.x, self.y = mouse_position()
396   local dx, dy   = mouse_delta()
397 
398   -- Track last 10 frames of mouse delta. Insert at front, drop the 11th.
399   table.insert(self.previous_mouse_deltas_x, 1, dx)
400   if #self.previous_mouse_deltas_x > 10 then self.previous_mouse_deltas_x[11] = nil end
401   table.insert(self.previous_mouse_deltas_y, 1, dy)
402   if #self.previous_mouse_deltas_y > 10 then self.previous_mouse_deltas_y[11] = nil end
403 
404   -- Horizontal sway: cursor stopped, recent motion was significant. Pull
405   -- rotation spring by remapped average delta, clamped to ±π/4. 0.2s cooldown
406   -- to avoid re-firing while the spring is still oscillating back.
407   local avg_x = array.average(self.previous_mouse_deltas_x) or 0
408   if dx == 0 and math.abs(avg_x) > 2 and time - self.last_sway_x_time >= 0.2 then
409     self.last_sway_x_time = time
410     local sway = math.clamp(
411       math.remap(math.abs(avg_x), 0, 20, 0, math.sign(avg_x) * math.pi/4),
412       -math.pi/4, math.pi/4)
413     spring_pull(self.spring, 'r', sway)
414   end
... [50 more lines]

Read (E:/a327ex/emoji-aimer/main.lua)

485    targets[#targets + 1] = t
486   return t
487 end
488 
489 -- -----------------------------------------------------------------------------
490 -- init
491 -- -----------------------------------------------------------------------------
492 spawn_target(gw/2, gh/2)
493 
494 -- -----------------------------------------------------------------------------
495 -- main loop
496 -- -----------------------------------------------------------------------------
497 function update(dt)
498   sync_engine_globals()
499 
500   collection_update(targets, dt)
501   collection_update(effects, dt)
502   timer_update(respawn_timer, dt)
503 
504   -- click-to-hit. mouse_position() returns game coords (480x270 space).
505   if input_pressed('click') then
506     local mx, my = mouse_position()
507     for _, t in ipairs(targets) do
508       if not t._dead and t:contains(mx, my) then
509         t:hit(mx, my)
510         break
511       end
512     end
513   end
514 
... [40 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Syntax clean. Cursor ported.

What's new:

Asset: assets/backhand_index_pointing_up.png (512×512, downloaded from emojipedia)
cursor class with the full juice from super-emoji-pop/main.lua:160-218:
- Horizontal sway: rotation spring kicked by recent avg horizontal mouse delta when motion stops
- Vertical squash: mouse_dt_sy snaps down then tweens back to 1 after fast vertical motion stops
- Click press/release: pulls main spring (0.5 / 0.25) and tweens (click_r, click_sx, click_sy) to (π/16, 0.9, 0.7) on press / back to (0, 1, 1) on release, named 'click_scale' so press-during-release replaces the in-flight tween cleanly
System cursor hidden via mouse_set_visible(false)
Drawn on ui_layer (no camera handcam jitter, no outline shader) so the fingertip stays glued to the actual mouse position
Image draw offset (+7, +9) and base rotation -π/8 from the reference — calibrated for the 👆 emoji's fingertip-to-image-center

Known thing to tune after first run: the (+7, +9) offset was calibrated in the original at scale 22/512. I kept CURSOR_SIZE = 22 to match exactly, so it should be right — but if the fingertip doesn't land on click positions, those two numbers are where to nudge.

Spring stiffness note: the original used spring_pull(..., 0.5, 250, 20) — those are v1 stiffness/damping numbers, not v2 frequency/bounce. I dropped them and used v2 defaults (5 Hz, 0.5 bounce). If the click feels too loose/floaty compared to your memory of super-emoji-pop, that's where to tune (e.g. spring_pull(..., 0.5, 8, 0.3) for snappier).

The cursor doesn't have an outline.

The cursor is on ui_layer which has no outline derivation. I'll give it its own layer with outline (no camera attach so the fingertip stays locked to the mouse).

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated. All occurrences were successfully replaced.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Cursor now lives on its own cursor_layer with a derived cursor_outline. Composite order: everything else, then cursor_outline, then cursor_layer on top — so the cursor draws above all gameplay elements with a black outline matching the rest of the visual style. Not camera-attached, so the fingertip stays glued to the actual mouse position.

Skipped a shadow derivation for the cursor — let me know if you want one for visual consistency with the targets/particles.

Just add outline to the UI layer instead?

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated. All occurrences were successfully replaced.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Done. Cursor's back on ui_layer, and ui_outline is derived from it via the outline shader (same recipe as game_outline and effects_outline). Composite order: ui_outline then ui_layer at the end of the stack. Anything else you draw to the UI layer later (HUD, score) will get the outline too — flag that if you don't want it for text.

Instead of hit circle let's try using the hit_effect animation which is a common pattern in these reference games too.

Grep (hit_effect|class\s+hit_effect|hit_effect\s=\sclass)

Found 13 files
emoji-ball-battles\main.lua
emoji-ball-battles\reference\yue\main.yue
emoji-ball-battles\reference\archives\IMPLEMENTATION_PLAN.md
emoji-ball-battles\reference\emoji_effects_documentation.md
emoji-ball-battles\reference\super emoji pop\main.lua
emoji-ball-battles\reference\super emoji box\main.lua
emoji-ball-battles\reference\super-emoji-pairs\src\main.lua
emoji-ball-battles\reference\super-emoji-invaders\src\main.lua
emoji-ball-battles\reference\super-emoji-pop-prototype\src\enemies.lua
emoji-ball-battles\reference\super-emoji-pop-prototype\src\effects.lua
emoji-ball-battles\reference\super-emoji-box\projectiles.lua
emoji-ball-battles\reference\super-emoji-box\particles.lua
emoji-ball-battles\reference\super-emoji-box\player.lua

Grep (hit_effect)

No files found

Grep (hit_effect)

Found 2 files
Anchor\engine\build-web\anchor_files.js
Anchor\reference\super emoji box\main.lua

Grep (hit_effect)

720-**Trigger:** Weapon hits, melee attacks
721-**Visual:** Animated sprite sequence plays at impact point
722-**Source:** super-emoji-box, super-emoji-pop
723:**Code:** `super emoji pop/main.lua:411-423` (hit_effect class)
724-
725-```yue
726-class HitEffect
727-  new: (@x, @y, options = {}) =>
728-    @\tag 'effect'
729-    @r = random\angle!
730-    @sx = options.s or 1
731-    @sy = options.s or 1
732-
733-    -- Create animation that kills self on complete
734-    @\add_child Animation 'hit_animation', 'hit1', 0.03, 'once',
735-      [0]: => @\kill!  -- callback on frame 0 (loop end)
736-
737-  draw: =>
738-    effects\animation @hit_animation, @x, @y, @r, 1.35*@sx, 1.35*@sy
739-```
740-
741----
742-
743-## Plant/Decoration Effects
744-
745-Plants have a complex wind system with four force types.
746-
747-### Constant Wind
748-
749-**Trigger:** Always active
... [49 more lines]

Read (E:/a327ex/emoji-ball-battles/reference/super emoji pop/main.lua)

395    self.duration = self.duration or lun:random_float(0.4, 0.6)
396   self:timer()
397   self:timer_tween(self.duration, self, {v = 0, sx = 0, sy = 0}, math.linear, function() self.dead = true end)
398   self:spring()
399   if self.flash_on_spawn then self:flash(self.flash_on_spawn*self.duration) end
400 end
401 
402 function emoji_particle:update(dt)
403   self.x = self.x + self.v*math.cos(self.r)*dt
404   self.y = self.y + self.v*math.sin(self.r)*dt
405   self.visual_angle = self.visual_angle + self.visual_angular_speed*dt
406   effects:draw_image(self.emoji, self.x, self.y, self.fixed_angle or (self.r + self.visual_angle), self.sx*self.springs.main.x, self.sy*self.springs.main.x, nil, nil, lun.colors.white[0],
407     self.flashing and lun.shaders.combine)
408 end
409 
410 
411 hit_effect = class:class_new(object)
412 function hit_effect:new(x, y, args)
413   self:object(nil, args)
414   self.x, self.y = x, y
415   self.r = lun:random_angle()
416   self.layer = (args and args.layer) or effects
417   self.sx, self.sy = self.s or 1, self.s or 1
418   self:add(object('hit_effect_animation'):animation('hit1', 0.03, 'once', {[0] = function() self.dead = true end}))
419 end
420 
421 function hit_effect:update(dt)
422   self.layer:draw_animation(self.hit_effect_animation, self.x, self.y, self.r, self.sx*1.35, self.sy*1.35, nil, nil, nil, nil, self.y)
423 end
424 
... [30 more lines]

Grep (hit1|hit_animation|spritesheet.hit|animation.hit1)

15:  lun:image('hit1', 'assets/hit1.png')
16:  lun:animation_frames('hit1', 'hit1', 96, 48)
418:  self:add(object('hit_effect_animation'):animation('hit1', 0.03, 'once', {[0] = function() self.dead = true end}))

Grep (hit1|hit_anim|Animation.*hit)

117:an:spritesheet('hit1', 'assets/hit1.png', 96, 48)
172:--   saw_hit1: -25.8 dB -> 0.61
3913:  self:add(animation('hit1', 0.05, 'once', {
3919:  self.hit1:update(dt)
3922:  effects:animation(self.hit1, 0, 0)

Bash (ls "E:/a327ex/emoji-ball-battles/reference/super emoji pop/assets/" 2>&1 | head ...)

0.png
1.png
2.png
3.png
4.png
5.png
6.png
7.png
8.png
9.png
FatPixelFont.ttf
LanaPixel.ttf
a.png
b.png
c.png
combine.frag
d.png
diest64.ttf
e.png
enemy_die1.ogg
enemy_die2.ogg
enemy_hit.ogg
f.png
fusion-pixel-10px-monospaced-latin.ttf
fusion-pixel-12px-monospaced-latin.ttf
fusion-pixel-8px-monospaced-latin.ttf
g.png
h.png
hit1.png
i.png
... [31 more lines]

Bash (file "E:/a327ex/emoji-ball-battles/reference/super emoji pop/assets/hit1.png" "E...)

E:/a327ex/emoji-ball-battles/reference/super emoji pop/assets/hit1.png: PNG image data, 480 x 48, 8-bit colormap, non-interlaced
E:/a327ex/emoji-ball-battles/assets/hit1.png:                           PNG image data, 480 x 48, 8-bit colormap, non-interlaced

Bash (grep -nE "^function spritesheet|^function animation_|^function layer_animation|^...)

E:/a327ex/Anchor2/framework/anchor/animation.lua:38:function animation_new(spritesheet_name, delay, loop_mode, actions)
E:/a327ex/Anchor2/framework/anchor/animation.lua:59:function animation_play(a)
E:/a327ex/Anchor2/framework/anchor/animation.lua:63:function animation_stop(a)
E:/a327ex/Anchor2/framework/anchor/animation.lua:67:function animation_reset(a)
E:/a327ex/Anchor2/framework/anchor/animation.lua:80:function animation_set_frame(a, frame)
E:/a327ex/Anchor2/framework/anchor/animation.lua:150:function animation_update(a, dt)
E:/a327ex/Anchor2/framework/anchor/layer.lua:178:function layer_spritesheet(lyr, sheet, frame, x, y, color, flash)
E:/a327ex/Anchor2/framework/anchor/layer.lua:182:function layer_animation(lyr, animation_object, x, y, color, flash)
E:/a327ex/Anchor2/framework/anchor/spritesheet.lua:13:function spritesheet:new(handle)
E:/a327ex/Anchor2/framework/anchor/spritesheet.lua:22:function spritesheet_register(name, path, frame_w, frame_h)

Bash (grep -rE "spritesheet|animation_new|animation_update|animation_draw" E:/a327ex/A...)

thin wrappers around resource handles (`font`, `spritesheet`, `image`). Game
spritesheets         -- { name: spritesheet }
spritesheet_register(name, path, frame_width, frame_height) -> spritesheet
  -- Also stores in spritesheets[name].
layer_spritesheet(lyr, sheet, frame, x, y, color?, flash?)
Frame-based spritesheet animation. Plain state table, not a class.
animation_new(spritesheet_name, delay, loop_mode?, actions?) -> a
animation_update(a, dt)
Fields: `a.frame`, `a.playing`, `a.dead`, `a.direction`, `a.spritesheet`.

Read (E:/a327ex/Anchor2/framework/anchor/animation.lua)

1    --[[
2     animation — procedural frame-based animation for spritesheets.
3   
4     Usage:
5       self.anim = animation_new('hit1', 0.03, 'once', {
6         [3] = function() print("frame 3") end,
7         [0] = function() self.anim_done = true end,   -- completion callback
8       })
9   
10      -- In update:
11      animation_update(self.anim, dt)
12  
13      -- In draw:
14      layer_spritesheet(game_layer, self.anim.spritesheet, self.anim.frame, x, y)
15  
16    Loop modes:
17      'once'    - play once and set .dead = true
18      'loop'    - repeat indefinitely
19      'bounce'  - ping-pong back and forth
20  
21    Actions table:
22      [frame_number] = function(anim)    -- fires when that frame becomes active
23      [0]            = function(anim)    -- fires on completion (once mode) or loop boundary
24  
25    Design notes:
26      - v1 fired actions with self.parent as first arg. v2 fires with the animation
27        table itself. Closures in the actions table can capture their owner.
28      - No "dead" cascade to a parent. If loop_mode='once' and completes, the animation
29        sets its `dead` field to true, and the owning entity checks it or ignores it.
30      - No kill() call (v1 called self:kill() which was tree-dependent).
... [130 more lines]

Read (E:/a327ex/Anchor2/framework/anchor/layer.lua)

175    eng.draw_texture(lyr_handle(lyr), tex, x, y, color or 0xFFFFFFFF, 0)
176 end
177 
178 function layer_spritesheet(lyr, sheet, frame, x, y, color, flash)
179   eng.draw_spritesheet_frame(lyr_handle(lyr), sheet.handle, frame, x, y, color or 0xFFFFFFFF, flash or 0)
180 end
181 
182 function layer_animation(lyr, animation_object, x, y, color, flash)
183   eng.draw_spritesheet_frame(
184     lyr_handle(lyr),
185     animation_object.spritesheet.handle,
186     animation_object.frame,
187     x, y,
188     color or 0xFFFFFFFF,
189     flash or 0
190   )
191 end
192 
193 function layer_text(lyr, text, f, x, y, color)
194   local font_name = type(f) == 'string' and f or f.name
195   eng.draw_text(lyr_handle(lyr), text, font_name, x, y, color)
196 end
197 
198 function layer_push(lyr, x, y, r, sx, sy)
199   eng.push(lyr_handle(lyr), x, y, r, sx, sy)

Bash (cp "E:/a327ex/emoji-ball-battles/assets/hit1.png" E:/a327ex/emoji-aimer/assets/ ...)

E:/a327ex/emoji-aimer/assets/hit1.png: PNG image data, 480 x 48, 8-bit colormap, non-interlaced

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Read (E:/a327ex/emoji-aimer/main.lua)

498  
499 -- -----------------------------------------------------------------------------
500 -- spawn helpers
501 -- -----------------------------------------------------------------------------
502 function spawn_hit_circle(x, y, args)
503   local hc = hit_circle(x, y, args)
504   effects[#effects + 1] = hc
505   return hc
506 end
507 
508 function spawn_hit_particle(x, y, args)
509   local hp = hit_particle(x, y, args)
510   effects[#effects + 1] = hp
511   return hp
512 end
513 
514 function spawn_emoji_particle(x, y, image, args)
515   local ep = emoji_particle(x, y, image, args)
516   effects[#effects + 1] = ep
517   return ep
518 end
519 
520 function spawn_target(x, y)
521   local t = target(x, y)
522   targets[#targets + 1] = t
523   return t
524 end
525 
526 -- -----------------------------------------------------------------------------
527 -- init
... [5 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

<tool_use_error>String to replace not found in file.
String:   spawn_hit_circle(mx, my, {
    radius         = self.radius + 6,
    duration       = 0.2,
    color          = white,
    flash_on_spawn = true,
  })
  for i = 1, random_int(2, 4) do
    spawn_hit_particle(mx, my, {
      velocity       = random_float(120, 200),
      direction      = random_angle(),
      duration       = random_float(0.25, 0.6),
      color          = yellow,
      gravity        = 256,
      flash_on_spawn = true,
    })
  end</tool_use_error>

Edit (E:/a327ex/emoji-aimer/main.lua)

<tool_use_error>String to replace not found in file.
String: function target:die(mx, my)
  spawn_hit_circle(mx, my, {
    radius         = self.radius + 6,
    duration       = 0.35,
    color          = white,
    flash_on_spawn = true,
  })</tool_use_error>

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Bash (grep -nE "spawn_hit_circle|spawn_hit_effect|spawn_hit_particle|spawn_emoji_parti...)

112:              math.cubic_in_out, function() self:kill() end)
148:  if self.animation.dead then self:kill() end
184:              math.linear, function() self:kill() end)
246:              math.linear, function() self:kill() end)
308:function target:hit(mx, my)
314:  spawn_hit_circle(mx, my, {
321:    spawn_hit_particle(mx, my, {
331:    spawn_emoji_particle(mx, my, star_img, {
341:  if self.hp <= 0 then self:die(mx, my) end
344:function target:die(mx, my)
345:  spawn_hit_circle(mx, my, {
352:    spawn_hit_particle(mx, my, {
364:    spawn_emoji_particle(mx, my, star_img, {
374:  self:kill()
502:function spawn_hit_circle(x, y, args)
508:function spawn_hit_effect(x, y, args)
514:function spawn_hit_particle(x, y, args)
520:function spawn_emoji_particle(x, y, image, args)

Read (E:/a327ex/emoji-aimer/main.lua)

308  function target:hit(mx, my)
309   self.hp = self.hp - 1
310   spring_pull(self.spring, 'hit', 0.3, 3, 0.5)
311   self.flashing = true
312   timer_after(self.timer, 0.08, function() self.flashing = false end)
313 
314   spawn_hit_circle(mx, my, {
315     radius         = 8,
316     duration       = 0.2,
317     color          = white,
318     flash_on_spawn = true,
319   })
320   for i = 1, random_int(2, 2) do
321     spawn_hit_particle(mx, my, {
322       velocity       = random_float(120, 200),
323       direction      = random_angle(),
324       duration       = random_float(0.25, 0.6),
325       color          = yellow,
326       gravity        = 256,
327       flash_on_spawn = true,
328     })
329   end
330   for i = 1, random_int(1, 1) do
331     spawn_emoji_particle(mx, my, star_img, {
332       velocity       = random_float(80, 150),
333       direction      = random_angle(),
334       duration       = random_float(0.3, 0.8),
335       scale          = 1,
336       gravity        = 256,
337       flash_on_spawn = 0.25,
... [40 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Done. Summary:

New asset: assets/hit1.png — copied from emoji-ball-battles/assets/hit1.png (480×48 spritesheet, 5 frames @ 96×48). Registered via spritesheet_register('hit1', 'assets/hit1.png', 96, 48) after the image loads.
New hit_effect class (port of super-emoji-pop/main.lua:411-423): random rotation, args.s scale multiplier, animation_new('hit1', 0.03, 'once'), kills self when animation.dead flips true, drawn on effects_layer with base 1.35× scale (matches reference) wrapped in layer_push/layer_pop for the rotation+scale.
spawn_hit_effect helper added next to the existing spawn helpers.
target:hit now spawns hit_effect with s=1 (replaces the white hit_circle).
target:die now spawns hit_effect with s=1.6 for a larger burst on death.
hit_circle class kept as you noted — it's still defined and spawn_hit_circle still works, just unused for now.

Now let's work on the game's UI and its feel. I added 7 images to reference/, they're UI kits generated by ChatGPT images 2 based on all my previous emoji games. I'd like you to either use these directly and reference them when making new UI elements, or write your own HTML UI kit mockup containing most of the elements in the images so you know how they should be coded on some level. The most important thing is that the colors are right. The emoji style colors that the reference games have in the code (and that you ported over) are the correct ones. In case of conflict between the colors in the images and those colors in the code, pick the colors in the code. In cases where the images need colors that are never defined in the code but that look reasonable, you may add them (like i.e. there's one or two "default" blue colors, but for different states for buttons or other things we might need additional blue colors, adding those additional blue colors is fine). Your choice on if you'd rather write the HTML mockup first or proceed with doing UI elements directly. Most UI elements we'll need for this game will be simple, although I do want them to have the consistent style the images have.

Bash (ls -la E:/a327ex/emoji-aimer/reference/ 2>&1)

total 10072
drwxr-xr-x 1 adn 197121       0 May  5 09:28 ./
drwxr-xr-x 1 adn 197121       0 May  5 09:18 ../
-rw-r--r-- 1 adn 197121 1660505 May  5 09:18 ui_kit_1.png
-rw-r--r-- 1 adn 197121 1661510 May  5 09:27 ui_kit_2.png
-rw-r--r-- 1 adn 197121 1911047 May  5 09:27 ui_kit_3.png
-rw-r--r-- 1 adn 197121 1586404 May  5 09:27 ui_kit_4.png
-rw-r--r-- 1 adn 197121 1805319 May  5 09:28 ui_kit_5.png
-rw-r--r-- 1 adn 197121 1671182 May  5 09:28 ui_kit_7.png

Read (E:/a327ex/emoji-aimer/reference/ui_kit_1.png)

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",
      "media_type": "image/jpeg"
    }
  }
]

Read (E:/a327ex/emoji-aimer/reference/ui_kit_2.png)

[
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    "type": "image",
    "source": {
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",
      "media_type": "image/png"
    }
  }
]

Read (E:/a327ex/emoji-aimer/reference/ui_kit_3.png)

[
  {
    "type": "image",
    "source": {
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",
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    }
  }
]

Read (E:/a327ex/emoji-aimer/reference/ui_kit_4.png)

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  {
    "type": "image",
    "source": {
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",
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]

Read (E:/a327ex/emoji-aimer/reference/ui_kit_5.png)

[
  {
    "type": "image",
    "source": {
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",
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]

Read (E:/a327ex/emoji-aimer/reference/ui_kit_7.png)

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",
      "media_type": "image/jpeg"
    }
  }
]

Looked at all six images. The system is well-defined — chunky 2px black outlines, soft drop shadow, ~12 named colors with consistent hue families, button states (default/hover/active/disabled), inventory slots with rarity tints, panel cards with header strips. Going to write the HTML mockup. Reasoning:

The PNGs are reference but vary slightly in colors between pages (image gen drift). I want one canonical doc that locks hex values to the code palette, with image-derived additions explicitly marked.
The mockup becomes a reusable spec — when I (or you) add a button later, look at the mockup to copy the styling. PNGs are harder to copy hex values from.
Concrete color names + roles will make the eventual Lua code clean (color_button_primary etc.).

First let me bring the missing canonical colors (blue/green/purple/brown/gray/fg_dark) into main.lua so the mockup and the code are consistent — these are colors the reference games use; we ported the visual style but didn't carry them all over yet.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Write (E:/a327ex/emoji-aimer/reference/ui_mockup.html)

File created successfully at: E:/a327ex/emoji-aimer/reference/ui_mockup.html

Mockup written to emoji-aimer/reference/ui_mockup.html. Open in a browser — it's a single self-contained file (Google Fonts CDN for the pixel typefaces, no other deps).

What's in it:

Palette — every color from main.lua as a labelled swatch with hex values. New pink (#F49AC2) marked * added.
State derivations — small comparison swatches for hover/active variants, with the rule documented (color_mix(base, white, 0.15) for hover, color_mix(base, black, 0.15) for active). These are computed in code, not stored as new globals.
Panels — cream background, 2px black outline, (+4,+4) drop shadow, optional colored header strip.
Buttons — neutral default + four colored variants (primary blue, success green, warning orange, danger red) × four states (default/hover/active/disabled). Press state shifts (+2,+2) and shrinks the shadow.
Badges & rarity chips — generic tags + the standard ARPG ladder (common→legendary).
Counters — small icon+number HUD chips and big numeric score readouts (with delta indicators).
Progress bars — continuous fills (HP/charge/cooldown), pip strips (lives), and a boss-style full-width dark-bg bar.
Inventory slots — 44px cells with rarity-tinted inset border and qty-stack badge.
Tooltips — orange title + black body + optional gray footer.
Sample HUD layout — sky-gradient game world with all four corners populated, roughly to scale.
Implementation notes — footer mapping each visual concept to the Lua mechanism (which shader, which font, how to do press displacement).

Code change made:

Expanded main.lua palette to bring across every named color from the reference games (gray, bg_color, fg_dark, blue, green, purple, brown) plus the new pink from the kit. Syntax-checked clean. The mockup and the code now agree exactly.

Things I deliberately did NOT do:

Didn't write any UI element Lua code yet — wanted to lock the palette and primitives first.
Didn't pick which UI elements to add to the game first — that's a design call (DPS readout? target HP? inventory slots before any items exist?). Open question for you.

Tell me which UI piece to build first when you've reviewed the mockup, or flag any colors/styles you want to change before I start coding.

Now let's focus on a single round. There should be a timer, number of targets or score so far, a place where passives (other emojis) appear, then a place where any additional information appears. Before a round starts (but while targets are visible), a hand should appear. Every round you draw 2 additional cards. Each card is an emoji and can be played by the player. The player has a certain amount of mana, say 4/4, and then if he plays a card that costs 2 he will have 2/4 mana. After he's out of moves from his hand, the round starts and he starts clicking. Before a run starts there's a draft screen, where the player drafts cards for the run. This follow Artifact drafting rules, you're shown 10 emojis, pick 2, repeat multiples times until you have X emojis and then build your deck out of X-Y of them. New images in reference/ show what this should look like visually. ui_layout_1 and ui_layout_2 focus on the game UI layout, the second one looks better to me. ui_layout_3 and ui_layout_4 are not going to look like that (there will be no choose 2 between rounds or anything like that), but they're useful in showing how the cards should look like and various other useful UI elements. ui_layout_5/6/7 contain draft screens. Before doing anything, tell me your thoughts on these and if you understand the images and the overall game loop. We'll now focus on a single round alone. But before doing anything give me a turn and ask me any questions you might have.

Bash (ls -la E:/a327ex/emoji-aimer/reference/)

total 20856
drwxr-xr-x 1 adn 197121       0 May  5 21:09 ./
drwxr-xr-x 1 adn 197121       0 May  5 09:44 ../
-rw-r--r-- 1 adn 197121 1660505 May  5 09:18 ui_kit_1.png
-rw-r--r-- 1 adn 197121 1661510 May  5 09:27 ui_kit_2.png
-rw-r--r-- 1 adn 197121 1911047 May  5 09:27 ui_kit_3.png
-rw-r--r-- 1 adn 197121 1586404 May  5 09:27 ui_kit_4.png
-rw-r--r-- 1 adn 197121 1805319 May  5 09:28 ui_kit_5.png
-rw-r--r-- 1 adn 197121 1671182 May  5 09:28 ui_kit_7.png
-rw-r--r-- 1 adn 197121 1295710 May  5 21:07 ui_layout_1.png
-rw-r--r-- 1 adn 197121 1544354 May  5 21:07 ui_layout_2.png
-rw-r--r-- 1 adn 197121 1631560 May  5 21:08 ui_layout_3.png
-rw-r--r-- 1 adn 197121 1538520 May  5 21:08 ui_layout_4.png
-rw-r--r-- 1 adn 197121 1647732 May  5 21:08 ui_layout_5.png
-rw-r--r-- 1 adn 197121 1627634 May  5 21:09 ui_layout_6.png
-rw-r--r-- 1 adn 197121 1703830 May  5 21:09 ui_layout_7.png
-rw-r--r-- 1 adn 197121   30370 May  5 09:47 ui_mockup.html

Read (E:/a327ex/emoji-aimer/reference/ui_layout_1.png)

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",
      "media_type": "image/png"
    }
  }
]

Read (E:/a327ex/emoji-aimer/reference/ui_layout_2.png)

[
  {
    "type": "image",
    "source": {
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",
      "media_type": "image/png"
    }
  }
]

Read (E:/a327ex/emoji-aimer/reference/ui_layout_3.png)

[
  {
    "type": "image",
    "source": {
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",
      "media_type": "image/png"
    }
  }
]

Read (E:/a327ex/emoji-aimer/reference/ui_layout_4.png)

[
  {
    "type": "image",
    "source": {
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",
      "media_type": "image/png"
    }
  }
]

Read (E:/a327ex/emoji-aimer/reference/ui_layout_5.png)

[
  {
    "type": "image",
    "source": {
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",
      "media_type": "image/png"
    }
  }
]

Read (E:/a327ex/emoji-aimer/reference/ui_layout_6.png)

[
  {
    "type": "image",
    "source": {
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",
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]

Read (E:/a327ex/emoji-aimer/reference/ui_layout_7.png)

[
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",
      "media_type": "image/jpeg"
    }
  }
]

Looked at all seven layout images. Here's my read.

What I think the loop is

RUN START
├── DRAFT PHASE  (ui_layout_6 style, Artifact rules)
│   ├── pick 2 of 10, repeat for N rounds
│   └── builds a "drafted pool" of ~30–50 cards
│       (with a draft currency for rerolls / skip)
├── DECK-BUILD PHASE  (ui_layout_7)
│   └── construct your deck (30 cards) from the drafted pool
└── RUN  (5 rounds)
    └── for each round:
        ├── PRE-ROUND PLANNING
        │   ├── targets visible on screen (not yet clickable)
        │   ├── hand of cards + mana 4/4
        │   ├── play cards from hand by clicking them; each consumes mana
        │   ├── PASSIVE cards go to passives row, others apply effects to the round
        │   └── press "START ROUND" when ready
        ├── AIM PHASE
        │   ├── timer ticks down
        │   ├── click targets, accumulate hits / combo / score
        │   └── card-applied modifiers shape this phase (FIRE burns, COFFEE +speed, etc.)
        ├── ROUND END
        │   └── (maybe) summary: hits, max combo, time bonus, stars
        └── BETWEEN ROUNDS
            ├── draw 2 new cards into hand (cap 8)
            └── (optional) hand-management screen — review/remove/swap

Your preference (variation B for in-round) makes sense to me. It uses the corners better — score+timer+combo stacked top-left, mana+passives top-right, deck/discard bottom-left, round info bottom-right, hand of cards along the bottom-center, and the whole middle is unobstructed for the aim arena. Variation A clutters the top with a horizontal strip of HUD elements that competes with target visibility.

Things I find genuinely interesting about this design

Pre-cast cards before the aim round is a clean separation of two cognitive modes. Most card+action hybrids interleave (Risk of Rain has buffs popping mid-action; Slay the Spire is pure planning). This puts planning and execution in series, which means the aim phase stays mechanically clean — you're not card-juggling while flicking. Good.
Targets visible during the planning phase is a small but smart detail. You can see what you're up against and make plays accordingly. "There's a cluster on the right? Play FIRE for splash. Sparse layout? Play COFFEE for speed." That's a real strategic beat.
Cards = aim transformation — FIRE applies DoT to your shots, SHIELD blocks incoming damage, COFFEE speeds something up, MELON heals. Each card morphs how the next 30 seconds of clicking feel. This is the "build = aim transformation" thread from earlier brainstorms but cleaner because cards are explicit and discrete.

Things I'd flag — honestly

Pacing risk on the planning phase. If you have 7–8 cards in hand and ~4 rounds left, deciding what to play could take 30+ seconds per round. For a game whose joy is mechanical clicking, that's a long pre-game. Brotato shop screens can drag for the same reason. Mitigations: keep mana low (4 caps plays at 2–4), limit visible cards (hand cap 5–6 not 8), or add a hint pass that highlights "obvious good plays" so quick decisions are possible.
Hand-bloat vs. mana-bottleneck tension. If hand caps at 8 and you draw 2 per round across 5 rounds, you'll end the run with a stuffed hand of cards you couldn't afford to play. Either you need cycling (discard for mana / extra draw) or you need most cards to be 1-cost. Worth deciding which.
Connecting cards to feedback during aim phase. If I cast FIRE pre-round, I need to see fire on every hit. If I cast COFFEE, I need a visible speed indicator. Otherwise the cards feel like menu actions disconnected from the actual play. The passives row at top-right helps, but in-arena VFX for active card effects matters a lot for the loop to feel coherent.
Genre composition tension. Aim trainers reward mechanical mastery; deckbuilders reward strategic anticipation; the two together is a tall order. The pre-cast-then-aim model handles it, but the cards have to be tuned so neither phase dominates. I'd worry if the meta-optimal play turned out to be "pick the strongest card combo, then aim is trivial" — then it's a deckbuilder with token aim. Equally bad if "aim god builds anything" — then it's an aim trainer with ignorable cards. The sweet spot needs both phases to matter every round.
Scope. Drafting + deck-building + cards + hand mgmt + mana + passives + relics + 5-round runs is StS-level complexity grafted onto an aim trainer. That's fine if it's the goal, but the buildout will be long. Starting with a single round is the right call.

The image kits are all visually consistent — I can use the existing ui_mockup.html palette/primitives plus the card layouts shown in ui_layout_2 and ui_layout_6 as the reference for card visuals. Cards in the layouts have:

emoji icon (top half, big)
name (PIXEL ARCADE bold, all caps)
short description (2 lines)
cost badge (top-right corner, small)
role chip at the bottom (DAMAGE / RECOVERY / UTILITY / DEFENSE / PASSIVE)
a card-back graphic (visible in the deck/discard counter icons)

OK — questions before I touch the code.

AskUserQuestion

User has answered your questions: "What ends an aim phase round?"="Timer expires (simplest, recommended)", "When you play a card, where does it go?"="Exhaust (gone forever)", "For the single-round prototype, what scope?"="Fixed test hand, no deck cycle (Recommended)", "Which cards do you want for the first prototype?"="Let's discuss cards in more detail later.". You can now continue with the user's answers in mind.

Got it. Locking in:

Timer-based rounds (e.g. 30s — exact length TBD)
Played cards exhaust — gone for the run. This means total card plays across a 5-round run ≈ 15–20 (mana 4/4 × 5 rounds, costs 1–4). That reframes the deck a bit: deck of 30 means most cards never get played in a run — the deck is a probability-shaped resource you draw from, not something you cycle through. The DECK / DISCARD counters in your layouts likely mean "remaining undrawn / exhausted-played" rather than "draw pile / shuffle-back pile". That's fine, just wanted to flag it.
Fixed test hand for prototype — no draw/shuffle/deck infrastructure yet
Cards deferred — I'll scaffold the round without committing card effects; we'll wire those after we discuss

Single-round prototype as I'd build it (no card effects yet):

PRE-ROUND PHASE
├── Targets pre-placed in arena (visible, NOT clickable yet)
├── Hand: 3-4 placeholder cards along bottom-center
│   (emoji icon + name + cost badge + role chip — no effect logic)
├── Mana indicator top-right (4/4 pip-style ⚡⚡⚡⚡)
├── Click a card → consume mana, card disappears (exhaust),
│   pip count decrements; no gameplay effect (yet)
├── "START ROUND" button (or maybe spacebar) somewhere
└── Score + timer corners visible but inactive

AIM PHASE
├── Timer counts down from N seconds (top-left)
├── Targets become clickable; hits accumulate
├── Score / hits / combo update
└── Mana, hand, START button hide or fade

ROUND END
└── Either reset, or freeze with a simple "ROUND COMPLETE" overlay
    (full between-rounds screen comes later)

Visual layout = ui_layout_2 (your preference): timer + score + combo top-left, mana + passives top-right, deck/discard counters bottom-left, round info bottom-right, hand of cards along bottom-center, sky arena in the middle.

Open questions I'd want answered before coding starts (not blocking — happy to make calls and you correct):

Round duration — 20s? 30s? 45s? Probably tunable, but a starting number.
Targets during pre-round — pre-placed and static, or do they animate/spawn? In ui_layout_2 they appear static. I'll go with static + visible from the start unless you say otherwise.
START ROUND trigger — explicit button (cleaner UX, takes screen space), spacebar (faster, hidden affordance), or auto-start when mana hits 0? I'd lean explicit button.
Placeholder cards — for visual scaffolding, can I pull 3–4 from your layout images (FIRE / COFFEE / MELON / SHIELD with their existing emojis) just for the visual placeholder, even though the effects aren't wired? Or do you want totally generic placeholders (Card 1 / Card 2 / Card 3)?
Pre-round HP / lives — do hearts exist in this prototype, or skip until we resolve damage source?

Your turn — tell me which calls to flip, what to drop, and when to start coding.

Let's code something simple now. An initial number of targets spawn, and then more are spawned as the player kills more targets. For starters let's keep this naive, every N ticks, new targets are spawned according to how "free" the overall arena is. There should be a timer, like in the UI layouts, counting down. We can also add a stub score/targets killed, although we don't do anything with it yet. Just get this loop working. When the round ends, simply draw ROUND END somewhere and then let me press a button to restart. When restarting, we need to make sure that we aren't leaking any more. Orblike folder and others (not sure if Anchor2 itself has it) do have memory profilers and such where we worry about these things, so you can look there for reference.

Read (E:/a327ex/Anchor2/framework/anchor/memory.lua)

1    --[[
2     memory — memory / resource tracker overlay for leak detection.
3   
4     Snapshots the engine's resource counters (engine_mem_stats) plus Lua-side
5     signals (collectgarbage heap size, entity count) each frame. Renders a
6     toggleable overlay comparing current values against a captured baseline
7     so you can verify that a repeated action (map reload, UI open/close, etc.)
8     returns every counter to its pre-action value.
9   
10    Usage:
11      mem = memory_tracker_new()
12      -- in update:
13      memory_tracker_update(mem)
14      if is_pressed('toggle_mem')   then memory_tracker_toggle(mem) end
15      if is_pressed('baseline_mem') then memory_tracker_capture_baseline(mem) end
16      -- in draw:
17      memory_tracker_draw(mem, debug_layer, debug_font)
18  
19    The overlay shows: LABEL   CURRENT   (Δbaseline)
20    Non-zero baseline deltas highlight the row — that's the leak signal.
21  ]]
22  
23  --[[
24    memory_tracker_capture()
25    Returns a flat snapshot table. Engine counters come from engine_mem_stats;
26    lua_kb and entities are added Lua-side. The snapshot is a plain table, no
27    methods — safe to copy/compare.
28  ]]
29  function memory_tracker_capture()
30    local s = engine_mem_stats()
... [177 more lines]

Bash (ls E:/a327ex/Anchor2/framework/anchor/ | grep -i mem)

memory.lua

Bash (grep -nE "memory_|memory." E:/a327ex/Orblike/main.lua 2>&1 | head -20; echo "--...)

37:-- Aliases for legacy callers (player.lua, anchor/memory.lua, etc.) that still
108:mem_tracker = memory_tracker_new()
148:  if is_pressed('toggle_mem') then memory_tracker_toggle(mem_tracker) end
149:  if is_pressed('baseline_mem') then memory_tracker_capture_baseline(mem_tracker) end
160:  memory_tracker_update(mem_tracker)
184:  memory_tracker_draw(mem_tracker, debug_layer, debug_font)
---ORBLIKE files---
animation.lua
array.lua
camera.lua
class.lua
collider.lua
color.lua
font.lua
helpers.lua
image.lua
init.lua
input.lua
layer.lua
math.lua
memory.lua
object.lua
physics.lua
shake.lua
spring.lua
spritesheet.lua
timer.lua

82:--   debug_layer      — screen-space HUD (no camera)
89:debug_layer = layer_new('debug')
99:debug_font = font_register('debug', 'assets/LanaPixel.ttf', 11)
108:mem_tracker = memory_tracker_new()
129:bind('toggle_mem', 'key:f3')
130:bind('baseline_mem', 'key:f4')
148:  if is_pressed('toggle_mem') then memory_tracker_toggle(mem_tracker) end
149:  if is_pressed('baseline_mem') then memory_tracker_capture_baseline(mem_tracker) end
160:  memory_tracker_update(mem_tracker)
184:  memory_tracker_draw(mem_tracker, debug_layer, debug_font)
185:  layer_render(debug_layer)
186:  layer_draw(debug_layer)

Read (E:/a327ex/Orblike/main.lua)

125  bind('up', 'key:up')
126 bind('down', 'key:s')
127 bind('down', 'key:down')
128 bind('reload_map', 'key:f5')
129 bind('toggle_mem', 'key:f3')
130 bind('baseline_mem', 'key:f4')
131 bind('cycle_symbol', 'key:f6')
132 bind('cycle_pattern', 'key:f7')
133 bind('cycle_flow', 'key:f8')
134 bind('cycle_palette', 'key:f9')
135 bind('cycle_palette_back', 'key:f10')
136 bind('toggle_ui_test', 'key:f2')
137 bind('reset_run', 'key:f12')
138 
139 p = player(0, 0)
140 camera_follow(main_camera, p)
141 
142 run_reset()  -- bootstrap the first run (loads tutorial; spell-system seeding TBD)
143 
144 function update(dt)
145   sync_engine_globals()
146   camera_update(main_camera, dt)
147   if is_pressed('reload_map') then load_map('tutorial') end
148   if is_pressed('toggle_mem') then memory_tracker_toggle(mem_tracker) end
149   if is_pressed('baseline_mem') then memory_tracker_capture_baseline(mem_tracker) end
150   if is_pressed('cycle_symbol') then cycle_wall_symbol() end
151   if is_pressed('cycle_pattern') then cycle_wall_pattern() end
152   if is_pressed('cycle_flow') then cycle_wall_flow() end
153   if is_pressed('cycle_palette') then cycle_wall_palette() end
154   if is_pressed('cycle_palette_back') then cycle_wall_palette_back() end
... [34 more lines]

Bash (grep -nE "^function run_reset|function load_map" E:/a327ex/Orblike/main.lua | he...)

(Bash completed with no output)

Bash (grep -rnE "^function run_reset|run_reset = function" E:/a327ex/Orblike/ 2>/dev/n...)

E:/a327ex/Orblike/run.lua:67:function run_reset()

Read (E:/a327ex/Orblike/run.lua)

55   end
56  
57  --[[
58    run_reset()
59  
60    End the current run and start a fresh one. Called on death, run win,
61    or manually for development (F12 by default). Order matters: clear UI
62    scratch that may reference per-run ids first, then destroy resources,
63    THEN replace the run table — callers using ids during the destroy
64    pass would otherwise see partial state. The starting map reload at
65    the end resets the player's position to the map's spawn point.
66  ]]
67  function run_reset()
68    -- 1. UI scratch that holds per-run ids.
69    if drag_clear then drag_clear() end
70  
71    -- 2. Engine-handle owners in the old run.
72    run_destroy_resources(run)
73  
74    -- 3. New run table.
75    run = run_new()
76  
77    -- 4. Bootstrap content. Nothing to seed until the spell system lands.
78  
79    -- 5. Load the starting map.
80    load_map('tutorial')
81  end
82

Bash (grep -nE "^function entity_kill|^function kill\b|^function (process_destroy_queu...)

74:function make_entity(e)
87:function entity_kill(e)
97:function process_destroy_queue()

Bash (grep -nE "engine_mem_stats" E:/a327ex/Anchor2/engine/src/anchor.c | head -5; ech...)

119:// load/unload). Exposed to Lua via engine_mem_stats() for leak detection.
8337:// engine_mem_stats() -> table of memory / resource counters.
8342:static int l_engine_mem_stats(lua_State* L) {
9298:    lua_register(L, "engine_mem_stats", l_engine_mem_stats);
---
5:  a __call metamethod that returns the packed rgba integer used by drawing
13:    layer_circle(game_layer, x, y, r, red())  -- __call returns packed rgba integer
31:    - __call returns the packed rgba integer via the engine's rgba() function.
78:-- Metatable for colors: __call returns the packed rgba integer.
82:  return rgba(

Read (E:/a327ex/Anchor2/framework/anchor/object.lua)

70     Assigns e.id and registers e in the global entities table.
71    Also installs a default kill method if none exists.
72    Returns e for chaining.
73  ]]
74  function make_entity(e)
75    e.id = next_id
76    next_id = next_id + 1
77    entities[e.id] = e
78    if not e.kill then e.kill = default_kill end
79    return e
80  end
81  
82  --[[
83    entity_kill(e)
84    Free function equivalent to e:kill(). Useful if you have a plain
85    entity table and don't want to use method syntax.
86  ]]
87  function entity_kill(e)
88    default_kill(e)
89  end
90  
91  --[[
92    process_destroy_queue()
93    Called once at the end of every frame in the game's main update.
94    Drains the destroy queue until stable (entity destruction may cause
95    more kills via polling in other entities' destroy methods).
96  ]]
97  function process_destroy_queue()
98    while #destroy_queue > 0 do
99      local q = destroy_queue
... [10 more lines]

Read (E:/a327ex/Anchor2/framework/anchor/helpers.lua)

1    --[[
2     helpers — small shared utilities for game code.
3   
4     collection_update(list, dt, method?)
5     Reverse iteration over a plain array of entities: removes entries with ._dead
6     (set by process_destroy_queue after kill), otherwise calls :update(dt) or the
7     given method name. Use for enemies, bullets, etc.
8   ]]
9   
10  function collection_update(list, dt, method)
11    method = method or 'update'
12    for i = #list, 1, -1 do
13      local e = list[i]
14      if e._dead then
15        table.remove(list, i)
16      else
17        local fn = e[method]
18        if fn then fn(e, dt) end
19      end
20    end
21  end
22

Got it. Now writing the round loop. Plan:

New constants: ROUND_DURATION, TARGETS_INITIAL, TARGET_SPAWN_TICK, TARGET_MIN_SPAWN_DIST, arena bounds for spawning
New state: round_state, round_timer, score, kills, spawn_tick_timer
New layer: debug_layer for the memory tracker overlay (separate so it can sit on top untouched)
Replace the existing auto-respawn logic with tick-based density spawning
Add round_reset() that kills all targets/effects, drains the queue, resets state, and re-seeds
Add memory tracker (F3 toggle / F4 baseline) so you can verify a restart returns deltas to 0
HUD: timer + hits in top-left; "ROUND END / PRESS R TO RESTART" overlay when ended

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Read (E:/a327ex/emoji-aimer/main.lua)

355    for i = 1, random_int(2, 2) do
356     spawn_hit_particle(mx, my, {
357       velocity       = random_float(120, 200),
358       direction      = random_angle(),
359       duration       = random_float(0.25, 0.6),
360       color          = yellow,
361       gravity        = 256,
362       flash_on_spawn = true,
363     })
364   end
365   for i = 1, random_int(1, 1) do
366     spawn_emoji_particle(mx, my, star_img, {
367       velocity       = random_float(80, 150),
368       direction      = random_angle(),
369       duration       = random_float(0.3, 0.8),
370       scale          = 1,
371       gravity        = 256,
372       flash_on_spawn = 0.25,
373     })
374   end
375 
376   if self.hp <= 0 then self:die(mx, my) end
377 end
378 
379 function target:die(mx, my)
380   for i = 1, random_int(2, 4) do
381     spawn_hit_particle(mx, my, {
382       velocity       = random_float(100, 350),
383       direction      = random_angle(),
384       duration       = random_float(0.4, 0.8),
... [30 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Now let me look at the current init / update / draw and replace the auto-respawn logic with the round/spawn-tick system.

Read (E:/a327ex/emoji-aimer/main.lua)

540  
541 function spawn_hit_effect(x, y, args)
542   local he = hit_effect(x, y, args)
543   effects[#effects + 1] = he
544   return he
545 end
546 
547 function spawn_hit_particle(x, y, args)
548   local hp = hit_particle(x, y, args)
549   effects[#effects + 1] = hp
550   return hp
551 end
552 
553 function spawn_emoji_particle(x, y, image, args)
554   local ep = emoji_particle(x, y, image, args)
555   effects[#effects + 1] = ep
556   return ep
557 end
558 
559 function spawn_target(x, y)
560   local t = target(x, y)
561   targets[#targets + 1] = t
562   return t
563 end
564 
565 -- -----------------------------------------------------------------------------
566 -- init
567 -- -----------------------------------------------------------------------------
568 mouse_set_visible(false)
569 the_cursor = cursor()
... [70 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Now the draw — add HUD (timer + hits top-left) and the ROUND END overlay, plus the memory overlay on the debug layer.

Read (E:/a327ex/emoji-aimer/main.lua)

685    -- so they finish their animations cleanly when the round ends.
686   collection_update(targets, dt)
687   collection_update(effects, dt)
688 
689   camera_update(main_camera, dt)
690   process_destroy_queue()
691   memory_tracker_update(mem_tracker)
692 end
693 
694 function draw()
695   layer_rectangle_gradient_v(bg_layer, 0, 0, gw, gh, sky_top(), sky_bottom())
696 
697   camera_attach(main_camera, game_layer)
698   camera_attach(main_camera, effects_layer)
699   for _, t  in ipairs(targets) do if not t._dead  then t:draw()  end end
700   for _, fx in ipairs(effects) do if not fx._dead then fx:draw() end end
701   camera_detach(main_camera, effects_layer)
702   camera_detach(main_camera, game_layer)
703 
704   the_cursor:draw()
705 
706   layer_render(bg_layer)
707   layer_render(game_layer)
708   layer_render(effects_layer)
709   layer_render(ui_layer)
710 
711   layer_clear(shadow_layer)
712   layer_draw_from(shadow_layer, game_layer,    shadow_shader)
713   layer_draw_from(shadow_layer, effects_layer, shadow_shader)
714 
... [17 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

(Bash completed with no output)

Bash (grep -nE "respawn_timer|respawn_pending|RESPAWN_DELAY" E:/a327ex/emoji-aimer/mai...)

326:-- 0 HP the target dies in a bigger burst and respawn_timer schedules a new
327:-- one at center after RESPAWN_DELAY.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Round loop is in. Summary of what changed:

State machine — round_state ∈ { 'playing', 'ended' }, round_timer, score, kills, spawn_tick_timer at top-level.

Spawning

try_spawn_target() — picks a random arena position (within ARENA_X_MIN/MAX, ARENA_Y_MIN/MAX), rejects spots within TARGET_MIN_SPAWN_DIST of any live target. Up to 20 attempts then bails.
ideal_target_count() — lerps from TARGET_COUNT_MIN (6) at round start to TARGET_COUNT_MAX (12) at round end based on elapsed time. Naive, easy to replace later.
alive_target_count() — explicit live-count helper (collection_update compacts dead entries each frame, but mid-frame the array can still hold them).
Every TARGET_SPAWN_TICK (0.25s), if alive < ideal, try one spawn.

Round end + restart

Timer ticks down in 'playing'. At ≤ 0 flips to 'ended'.
Click damage gated to 'playing' only.
round_reset() kills all live targets + effects, calls process_destroy_queue() immediately (so colliders/timers/springs finalize before we replace arrays), reassigns targets = {} / effects = {}, resets state vars, re-seeds TARGETS_INITIAL targets.
Restart key R (mapped via bind('restart', 'key:r')) calls round_reset() only when round_state == 'ended'.

Memory tracker

mem_tracker = memory_tracker_new() at top-level state.
F3 toggles overlay, F4 captures baseline.
New debug_layer for the overlay (no shaders applied — sits on top of everything).
memory_tracker_update(mem_tracker) at end of update (cheap when overlay is hidden).
memory_tracker_draw(...) at end of draw, drawn on debug_layer, then rendered + composited.

Workflow for verifying restart cleanliness:

Run the game, let a round play out (or play some), wait for "ROUND END".
Press F3 to show the memory overlay.
Press F4 to capture baseline.
Press R to restart. Round runs again.
Wait for ROUND END again (or restart mid-round again).
Watch the deltas next to each row. entities, gl_textures, gl_fbos, physics_bodies/shapes, lua_heap should all return to ~0 delta after a few GC cycles. Persistent positive deltas = leak signal.

HUD — top-left has MM:SS, HITS N, SCORE N. When ended, a centered ROUND END (LanaPixel 22px) + PRESS R TO RESTART (LanaPixel 11px) overlay with a 30%-black dim layer behind.

Other knobs registered for future use:

fonts.big (LanaPixel 22px) — for big screen text
fonts.debug (LanaPixel 11px) — used by mem tracker; same as fonts.main but kept separate so we can swap it independently later

Syntax clean. Run and let me know what the memory deltas show after a restart cycle — if anything grows unbounded I'll dig into the specific subsystem.

Text for the UI is dark (likely an outline issue), entire game goes dark after a while too.

Two distinct bugs. Let me investigate before fixing.

Read (E:/a327ex/Anchor2/framework/anchor/layer.lua)

240    return eng.get_texture(lyr_handle(lyr))
241 end
242 
243 function layer_reset_effects(lyr)
244   eng.reset_effects(lyr_handle(lyr))
245 end
246 
247 function layer_clear(lyr)
248   eng.clear(lyr_handle(lyr))
249 end
250 
251 --- Process queued draw commands into this layer's FBO.
252 function layer_render(lyr)
253   eng.render(lyr_handle(lyr))
254 end
255 
256 function layer_draw_from(lyr, source, shader)
257   eng.draw_from(lyr_handle(lyr), lyr_handle(source), shader)
258 end
259 
260 function layer_stencil_mask(lyr)
261   eng.stencil_mask(lyr_handle(lyr))
262 end
263 
264 function layer_stencil_test(lyr)
265   eng.stencil_test(lyr_handle(lyr))
266 end
267 
268 function layer_stencil_test_inverse(lyr)
269   eng.stencil_test_inverse(lyr_handle(lyr))

Bash (grep -nE "layer_clear|layer_render|fbo_clear|render_layer|GL_COLOR_BUFFER_BIT" E...)

1923:static void layer_clear_commands(Layer* layer) {
3782:    glClear(GL_COLOR_BUFFER_BIT);
4453:static void layer_render(Layer* layer) {
5611:static int l_layer_clear(lua_State* L) {
5621:    glClear(GL_COLOR_BUFFER_BIT);
5628:static int l_layer_render(lua_State* L) {
5639:    glClear(GL_COLOR_BUFFER_BIT | GL_STENCIL_BUFFER_BIT);
5646:    layer_render(layer);
8561:    glClear(GL_COLOR_BUFFER_BIT);
8676:    glClear(GL_COLOR_BUFFER_BIT);
9150:    lua_register(L, "layer_clear", l_layer_clear);
9151:    lua_register(L, "layer_render", l_layer_render);
10122:            layer_clear_commands(layer_registry[i]);
10253:        glClear(GL_COLOR_BUFFER_BIT);
10574:                    layer_clear_commands(layer_registry[i]);
10645:                glClear(GL_COLOR_BUFFER_BIT);
10718:            glClear(GL_COLOR_BUFFER_BIT);

Read (E:/a327ex/Anchor2/engine/src/anchor.c)

5628 static int l_layer_render(lua_State* L) {
5629        if (headless_mode) return 0;
5630        Layer* layer = (Layer*)lua_touserdata(L, 1);
5631    
5632        // Bind layer's FBO
5633        glBindFramebuffer(GL_FRAMEBUFFER, layer->fbo);
5634        glViewport(0, 0, layer->width, layer->height);
5635    
5636        // Clear color and stencil buffers
5637        glClearColor(0.0f, 0.0f, 0.0f, 0.0f);
5638        glClearStencil(0);
5639        glClear(GL_COLOR_BUFFER_BIT | GL_STENCIL_BUFFER_BIT);
5640    
5641        // Ensure stencil starts disabled
5642        glDisable(GL_STENCIL_TEST);
5643        glColorMask(GL_TRUE, GL_TRUE, GL_TRUE, GL_TRUE);
5644    
5645        // Process all queued commands
5646        layer_render(layer);
5647    
5648        // Ensure stencil is disabled after rendering (in case commands left it enabled)
5649        glDisable(GL_STENCIL_TEST);
5650        glColorMask(GL_TRUE, GL_TRUE, GL_TRUE, GL_TRUE);
5651    
5652        // Clear command queue for next frame

[Request interrupted by user]

Actually, let's try an entirely different strategy coding this game. I'll code the game manually myself, you give me code snippets to copy into it. I'm going to restart the file soon from scratch.

Understood. Quick context-dump before we switch modes:

What I'd diagnosed about the two bugs (so you can avoid them in the rewrite):

Text dark — the outline shader (outline.frag) outputs vec4(0, 0, 0, a) where a = max(any 5×5 neighbor's alpha). That's fine for chunky 12+px emojis where the 2px halo is a thin frame. For 11px LanaPixel where strokes are 1–2px wide, the neighbor sample expands the silhouette by ~2px in every direction, which eats the entire glyph. Result: text looks like a solid black blob with maybe a sliver of color in the center. Fix: don't put text on any layer that gets the outline shader applied. Either separate text_layer (no outline) and ui_layer (outlined for cursor/buttons), or bake outlines into the font glyphs and skip the shader entirely on text.
Game goes dark over time — I didn't get to confirm. layer_render does call glClear per frame so individual layers don't accumulate. Suspects I'd check: (a) the alpha-80 dim rectangle I drew during ROUND END — verify it isn't somehow being drawn on a layer that's also being composited multiple times per frame; (b) something in the shadow/outline derivation chain on a layer that gets re-derived without layer_clear first; (c) a per-frame allocation (color objects?) building up. Worth poking at if it shows up in the rewrite.

Stuff that should be reusable verbatim (no rewrite needed):

assets/ — emoji PNGs, hit1 spritesheet, fonts, shaders
anchor/ framework copy + anchor.exe
run.bat
The class definitions for hit_circle / hit_effect / hit_particle / emoji_particle / cursor / target are clean ports — I'd suggest keeping them around as reference even when you delete main.lua. Want me to extract them into a separate reference/snippets.lua before you nuke the file?

Two questions on how to work together:

AskUserQuestion

User has answered your questions: "What size of snippet do you want from me by default?"="Whatever fits the request", "How should I track your current code state?"="I read main.lua from disk when I need to". You can now continue with the user's answers in mind.

Got it. New mode locked in: I'll size snippets per request and Read main.lua when I need context.

Question I floated still open: do you want me to extract the reusable class defs (hit_circle, hit_effect, hit_particle, emoji_particle, cursor, target) into reference/snippets.lua before you wipe main.lua? Or would you rather I just leave the old main.lua in place as your reference until you've finished the rewrite, then we can delete it together?

Otherwise, ready when you are.

ToolSearch

[
  {
    "type": "tool_reference",
    "tool_name": "TodoWrite"
  }
]

TodoWrite

Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

Cleared. Standing by — let me know what you need first.

Actually nevermind, I changed my mind, you can proceed as you were going to.

Picking back up. Going to dig into both bugs — text-dark first since it's diagnosed, then investigate the game-darkening before fixing.

Bash (grep -nE "l_layer_draw_from|l_layer_draw\b|draw_from|layer_draw\b" E:/a327ex/Anc...)

5480:// Immediate shader uniform setters (applied now, for use with layer_draw_from)
5588:static int l_layer_draw(lua_State* L) {
5660:static int l_layer_draw_from(lua_State* L) {
9147:    lua_register(L, "layer_draw", l_layer_draw);
9152:    lua_register(L, "layer_draw_from", l_layer_draw_from);
10267:            // Manual compositing: use layer_draw queue

Read (E:/a327ex/Anchor2/engine/src/anchor.c)

5660 static int l_layer_draw_from(lua_State* L) {
5661        if (headless_mode) return 0;
5662        Layer* dst = (Layer*)lua_touserdata(L, 1);
5663        Layer* src = (Layer*)lua_touserdata(L, 2);
5664        GLuint shader = (lua_gettop(L) >= 3 && !lua_isnil(L, 3)) ? (GLuint)luaL_checkinteger(L, 3) : 0;
5665    
5666        // Bind destination layer's FBO
5667        GLuint target_fbo = dst->textures_swapped ? dst->effect_fbo : dst->fbo;
5668        glBindFramebuffer(GL_FRAMEBUFFER, target_fbo);
5669        glViewport(0, 0, dst->width, dst->height);
5670    
5671        // Enable alpha blending for accumulation
5672        // Use glBlendFuncSeparate to preserve alpha correctly when drawing to FBOs
5673        glEnable(GL_BLEND);
5674        glBlendFuncSeparate(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA,  // RGB
5675                            GL_ONE, GL_ONE_MINUS_SRC_ALPHA);       // Alpha
5676    
5677        // Use shader or passthrough
5678        if (shader) {
5679            glUseProgram(shader);
5680            GLint tex_loc = glGetUniformLocation(shader, "u_texture");
5681            if (tex_loc != -1) glUniform1i(tex_loc, 0);
5682        } else {
5683            glUseProgram(screen_shader);
5684            GLint offset_loc = glGetUniformLocation(screen_shader, "u_offset");
5685            if (offset_loc != -1) glUniform2f(offset_loc, 0.0f, 0.0f);
5686        }
5687    
5688        // Bind source layer's current texture
5689        glActiveTexture(GL_TEXTURE0);
... [50 more lines]

Read (E:/a327ex/Anchor2/engine/src/anchor.c)

5611 static int l_layer_clear(lua_State* L) {
5612        if (headless_mode) return 0;
5613        Layer* layer = (Layer*)lua_touserdata(L, 1);
5614    
5615        // Bind the layer's current target FBO
5616        GLuint target_fbo = layer->textures_swapped ? layer->effect_fbo : layer->fbo;
5617        glBindFramebuffer(GL_FRAMEBUFFER, target_fbo);
5618        glViewport(0, 0, layer->width, layer->height);
5619    
5620        glClearColor(0.0f, 0.0f, 0.0f, 0.0f);
5621        glClear(GL_COLOR_BUFFER_BIT);
5622    
5623        return 0;
5624    }
5625    
5626    // Render a layer's queued commands to its FBO (with clear)
5627    // This is called explicitly from Lua draw() instead of automatically
5628    static int l_layer_render(lua_State* L) {
5629        if (headless_mode) return 0;
5630        Layer* layer = (Layer*)lua_touserdata(L, 1);
5631    
5632        // Bind layer's FBO
5633        glBindFramebuffer(GL_FRAMEBUFFER, layer->fbo);
5634        glViewport(0, 0, layer->width, layer->height);
5635    
5636        // Clear color and stencil buffers
5637        glClearColor(0.0f, 0.0f, 0.0f, 0.0f);
5638        glClearStencil(0);
5639        glClear(GL_COLOR_BUFFER_BIT | GL_STENCIL_BUFFER_BIT);
5640    
... [5 more lines]

Read (E:/a327ex/Anchor2/engine/src/anchor.c)

10240            float scale_y = (float)window_h / game_height;
10241           float scale = (scale_x < scale_y) ? scale_x : scale_y;
10242           if (scale < 1.0f) scale = 1.0f;
10243   
10244           // Calculate centered position with letterboxing
10245           int scaled_w = (int)(game_width * scale);
10246           int scaled_h = (int)(game_height * scale);
10247           int offset_x = (window_w - scaled_w) / 2;
10248           int offset_y = (window_h - scaled_h) / 2;
10249   
10250           // Clear screen to black (letterbox color)
10251           glViewport(0, 0, window_w, window_h);
10252           glClearColor(0.0f, 0.0f, 0.0f, 1.0f);
10253           glClear(GL_COLOR_BUFFER_BIT);
10254   
10255           // Set viewport for game area
10256           glViewport(offset_x, offset_y, scaled_w, scaled_h);
10257           glUseProgram(screen_shader);
10258   
10259           // Use premultiplied alpha blend for compositing layers to screen
10260           // FBO contents are already blended, so we don't multiply by src alpha again
10261           glBlendFunc(GL_ONE, GL_ONE_MINUS_SRC_ALPHA);
10262   
10263           // Get offset uniform location
10264           GLint offset_loc = glGetUniformLocation(screen_shader, "u_offset");
10265   
10266           if (layer_draw_count > 0) {
10267               // Manual compositing: use layer_draw queue
10268               for (int i = 0; i < layer_draw_count; i++) {
10269                   LayerDrawCommand* cmd = &layer_draw_queue[i];
... [10 more lines]

Bash (grep -nE "textures_swapped|swap_textures|layer_get_texture" E:/a327ex/Anchor2/en...)

465:    bool textures_swapped;  // Which buffer is current result
1876:static GLuint layer_get_texture(Layer* layer) {
1877:    return layer->textures_swapped ? layer->effect_texture : layer->color_texture;
1882:    layer->textures_swapped = false;
3768:    if (layer->textures_swapped) {
3823:    layer->textures_swapped = !layer->textures_swapped;
4520:            // (execute_apply_shader toggled textures_swapped, so current is now the destination)
4521:            GLuint current_fbo = layer->textures_swapped ? layer->effect_fbo : layer->fbo;
5597:static int l_layer_get_texture(lua_State* L) {
5599:    GLuint tex = layer_get_texture(layer);
5616:    GLuint target_fbo = layer->textures_swapped ? layer->effect_fbo : layer->fbo;
5667:    GLuint target_fbo = dst->textures_swapped ? dst->effect_fbo : dst->fbo;
5690:    glBindTexture(GL_TEXTURE_2D, layer_get_texture(src));
8578:            glBindTexture(GL_TEXTURE_2D, layer_get_texture(layer));
8589:            glBindTexture(GL_TEXTURE_2D, layer_get_texture(layer));
8691:            glBindTexture(GL_TEXTURE_2D, layer_get_texture(layer));
8701:            glBindTexture(GL_TEXTURE_2D, layer_get_texture(layer));
9148:    lua_register(L, "layer_get_texture", l_layer_get_texture);
10281:                glBindTexture(GL_TEXTURE_2D, layer_get_texture(layer));
10302:                glBindTexture(GL_TEXTURE_2D, layer_get_texture(layer));

Read (E:/a327ex/Anchor2/framework/anchor/camera.lua)

150    that layer. Parallax values < 1 make the layer scroll slower (background);
151   parallax = 0 keeps the layer stationary (UI-style fixed background).
152 ]]
153 function camera_attach(c, layer, parallax_x, parallax_y)
154   parallax_x = parallax_x or 1
155   parallax_y = parallax_y or 1
156   local ox, oy, r_off, z_off = camera_get_effects(c)
157   local cx = c.x*parallax_x + ox
158   local cy = c.y*parallax_y + oy
159   local rot = c.rotation + r_off
160   local zoom = c.zoom*(1 + z_off)
161 
162   layer_push(layer, c.w/2, c.h/2, rot, zoom, zoom)
163   layer_push(layer, -cx, -cy, 0, 1, 1)
164 end
165 
166 --[[
167   camera_detach(c, layer)
168   Pop the camera transform from a layer's matrix stack.
169 ]]
170 function camera_detach(c, layer)
171   layer_pop(layer)
172   layer_pop(layer)
173 end
174 
175 --[[
176   camera_update(c, dt)
177   Advances follow, bounds, mouse resolution, and shake.
178   Call once per frame per camera.
179 ]]
... [5 more lines]

Bash (grep -nE "^function camera_attach|^function camera_detach" E:/a327ex/Anchor2/fra...)

153:function camera_attach(c, layer, parallax_x, parallax_y)
170:function camera_detach(c, layer)

I've exhausted what I can diagnose statically for the going-dark bug — the rendering pipeline looks clean (FBOs clear properly, no push/pop imbalance, no swap-chain weirdness in our usage). My best remaining guess is that the alpha-80 dim overlay during ROUND END is what reads as "going dark", not a slow accumulation. I'll fix the diagnosed text-dark bug now and add a flag so we can disambiguate.

Fix for text-dark: separate the text/HUD from the cursor onto their own non-outlined layer. Pixel-font glyphs at 11px have 1–2px stroke width, and the outline shader's 5×5 neighbor sample expands silhouettes by ~2px in every direction — which eats the entire glyph and produces solid black blobs. Cursor and game elements at 12+px don't have this problem.

Read (E:/a327ex/emoji-aimer/main.lua)

52   
53  -- Round / arena
54  ROUND_DURATION        = 30      -- seconds per round
55  TARGETS_INITIAL       = 6       -- targets spawned at round start
56  TARGET_SPAWN_TICK     = 0.25    -- how often to consider spawning a target
57  TARGET_MIN_SPAWN_DIST = TARGET_RADIUS*4  -- min distance between target centers when spawning
58  TARGET_COUNT_MIN      = 6       -- ideal alive count at round start
59  TARGET_COUNT_MAX      = 12      -- ideal alive count at round end (ramps up over time)
60  
61  -- Arena bounds for target spawning. Top margin = HUD strip. Bottom margin
62  -- reserved for the future cards row even though we don't draw cards yet —
63  -- avoids targets spawning where they'd be visually obscured later.
64  ARENA_X_MIN = 20
65  ARENA_X_MAX = gw - 20
66  ARENA_Y_MIN = 30
67  ARENA_Y_MAX = gh - 60
68  
69  -- -----------------------------------------------------------------------------
70  -- input
71  -- -----------------------------------------------------------------------------

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Text-dark fixed.

For the going-dark bug, here's where I am: I read through the rendering pipeline carefully — layer_render, layer_clear, layer_draw_from, the screen blit, the swap-chain logic. Everything looks clean (FBOs clear properly, push/pop stacks are balanced, no swap-chain accumulation in our code path). I don't see a static cause for progressive darkening.

Two leading hypotheses I can't disambiguate without seeing the behavior:

The dim overlay at ROUND END is what reads as "going dark." alpha-80 = ~31% black covering the whole screen. If the round ends and you're looking at the dimmed screen, that's intentional. "After a while" might mean "after the round ends and stays in that state." If that's it, no actual bug — just the overlay is too dark and we should soften it (alpha 30–50?) or remove it.
There's a real accumulation bug I can't catch from code inspection. Possible suspects: a per-frame allocation building GC pressure, GL state leaking between frames in a way that compounds, something engine-side I haven't surfaced.

Quick test you can run to disambiguate:

Play a round, let it end, observe the dim screen. Does it look "the kind of dark" you reported? If yes → hypothesis 1, just an aesthetic call.
Press R, play a round, don't let it end — does the screen darken progressively while you're shooting? If yes → hypothesis 2, real bug, and I'd want to instrument with the F3 memory tracker to look for what's growing.

Let me know which one matches, and I'll either soften the overlay or dig into the accumulation.

It's not going dark anymore, fixed now. Now let's make the UI actually look like the reference image (I believe the most relevant here is ui_layout_2)

Going to build out the HUD/cards to match ui_layout_2. Plan:

Download 3 emoji icons (hourglass for timer, lightning for mana, fire for passives) — 512×512 Twitter
Add UI draw helpers (draw_panel, draw_hud_chip, draw_mana_panel, draw_passives_row, draw_hand_card)
Replace plain HUD text with: top-left timer/score chips, top-right mana panel + passives row, bottom-center hand of card placeholders (5 cards, no logic yet — just visuals)
Bump ARENA_Y_MIN so targets don't spawn under the new HUD strip

Stub-only for mana/passives/cards (no actual mana logic, hand state, etc. — just to look right).

Bash (UA="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Ge...)

E:/a327ex/emoji-aimer/assets/hourglass_done.png: PNG image data, 512 x 512, 8-bit/color RGBA, non-interlaced
E:/a327ex/emoji-aimer/assets/high_voltage.png:   PNG image data, 512 x 512, 8-bit/color RGBA, non-interlaced
E:/a327ex/emoji-aimer/assets/fire.png:           PNG image data, 512 x 512, 8-bit/color RGBA, non-interlaced

Read (E:/a327ex/emoji-aimer/main.lua)

85   effects_outline = layer_new('effects_outline')
86  hud_layer       = layer_new('hud')        -- HUD text + ROUND END overlay; NOT outlined
87  ui_layer        = layer_new('ui')         -- cursor (gets outline)
88  ui_outline      = layer_new('ui_outline')
89  debug_layer     = layer_new('debug')
90  
91  -- -----------------------------------------------------------------------------
92  -- shaders
93  -- -----------------------------------------------------------------------------
94  shadow_shader  = shader_load_file('assets/shadow.frag')
95  outline_shader = shader_load_file('assets/outline.frag')
96  shader_set_vec2_immediate(outline_shader, 'u_pixel_size', 1/gw, 1/gh)
97  
98  -- -----------------------------------------------------------------------------
99  -- images
100 -- -----------------------------------------------------------------------------
101 direct_hit_img             = image_load('direct_hit',                'assets/direct_hit.png')
102 star_img                   = image_load('star',                      'assets/star.png')
103 backhand_index_pointing_up = image_load('backhand_index_pointing_up','assets/backhand_index_pointing_up.png')
104 
105 spritesheet_register('hit1', 'assets/hit1.png', 96, 48)
106 
107 font_register('main',  'assets/LanaPixel.ttf', 11)
108 font_register('big',   'assets/LanaPixel.ttf', 22)
109 font_register('debug', 'assets/LanaPixel.ttf', 11)
110 
111 -- -----------------------------------------------------------------------------
112 -- camera (always-on handcam jitter, EBB-style)
113 -- -----------------------------------------------------------------------------
114 main_camera = camera_new(gw, gh)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Now bump ARENA_Y_MIN so targets don't spawn under the HUD strip, then add the UI helpers section before the spawn helpers, and rewrite the HUD draw block.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash (grep -nE "^-- init|^-- spawn helpers|^function spawn_target|^function round_rese...)

537:-- spawn helpers
563:function spawn_target(x, y)
616:function round_reset()
633:-- init

Read (E:/a327ex/emoji-aimer/main.lua)

625    score            = 0
626   kills            = 0
627   spawn_tick_timer = 0
628 
629   for i = 1, TARGETS_INITIAL do try_spawn_target() end
630 end
631 
632 -- -----------------------------------------------------------------------------
633 -- init
634 -- -----------------------------------------------------------------------------
635 mouse_set_visible(false)
636 the_cursor = cursor()
637 for i = 1, TARGETS_INITIAL do try_spawn_target() end
638 
639 -- -----------------------------------------------------------------------------

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Read (E:/a327ex/emoji-aimer/main.lua)

820      -- Density-based spawn tick. Every TARGET_SPAWN_TICK seconds, if alive
821     -- count is below the (time-ramped) ideal, try to place one more target.
822     spawn_tick_timer = spawn_tick_timer + dt
823     if spawn_tick_timer >= TARGET_SPAWN_TICK then
824       spawn_tick_timer = 0
825       if alive_target_count() < ideal_target_count() then
826         try_spawn_target()
827       end
828     end
829 
830     -- Click-to-hit. mouse_position() returns game coords (480x270 space).
831     -- Targets only damage during the playing state.
832     if input_pressed('click') then
833       local mx, my = mouse_position()
834       for _, t in ipairs(targets) do
835         if not t._dead and t:contains(mx, my) then
836           t:hit(mx, my - 1)
837           break
838         end
839       end
840     end
841   end
842 
843   -- Effects (particles, hit_effects) keep updating across state boundaries
844   -- so they finish their animations cleanly when the round ends.
845   collection_update(targets, dt)
846   collection_update(effects, dt)
847 
848   camera_update(main_camera, dt)
849   process_destroy_queue()
... [10 more lines]

Read (E:/a327ex/emoji-aimer/main.lua)

860    camera_detach(main_camera, effects_layer)
861   camera_detach(main_camera, game_layer)
862 
863   -- HUD: timer + hits stub in top-left. Format MM:SS to match the layout
864   -- mockups even though we never reach a minute at 30s round duration.
865   -- All text goes on hud_layer (NOT outlined) — the outline shader's 5x5
866   -- neighbor sample turns 1-2px-stroke pixel-font glyphs into solid black
867   -- blobs.
868   local m  = math.floor(round_timer / 60)
869   local s  = math.floor(round_timer - m*60)
870   local tt = string.format('%02d:%02d', m, s)
871   layer_text(hud_layer, tt,                                 fonts.main, 6,  6, black())
872   layer_text(hud_layer, string.format('HITS  %d', kills),   fonts.main, 6, 18, black())
873   layer_text(hud_layer, string.format('SCORE %d', score),   fonts.main, 6, 30, black())
874 
875   -- Round-end overlay. Centered on screen, dim the world behind it slightly
876   -- so it reads as a state change. Restart hint underneath in smaller text.
877   if round_state == 'ended' then
878     layer_rectangle(hud_layer, 0, 0, gw, gh, rgba(0, 0, 0, 80))
879     local end_text = 'ROUND END'
880     local hint     = 'PRESS R TO RESTART'
881     -- LanaPixel monospaced: ~6px advance at 11px size, ~12px advance at 22px.
882     -- Approximate centering by character count; not pixel-perfect but fine
883     -- for a stub.
884     local end_w  = #end_text * 12
885     local hint_w = #hint     * 6
886     layer_text(hud_layer, end_text, fonts.big,  gw/2 - end_w/2,  gh/2 - 16, black())
887     layer_text(hud_layer, hint,     fonts.main, gw/2 - hint_w/2, gh/2 + 12, black())
888   end
889 
... [25 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Two layout tweaks before I ship — current values would leave targets overlapping the hand cards by ~6px and grazing the HUD top:

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Shipped. Quick summary of what's now drawn each frame on hud_layer:

Top-left chip stack (76×18 each, 4px gap):

[blue tag + ⌛] 00:24 — timer
[yellow tag + 🎯] 1280 — score (uses kills-derived score)

Top-right (96×18 each, 4px gap):

[⚡] ▰▰▰▰ — mana panel, 4 blue pip slots, static 4/4 stub
[🔥] □ □ □ □ □ — passives row, 5 inventory-style slots, 3 prefilled with placeholder icons

Bottom-center — 5 cards in a row (36×44, 4px gap), centered horizontally. Each card has:

Blue cost dot in top-left (1–3)
Centered emoji icon
Name strip on fg_dark band at bottom

Helpers added (in a new UI section before init):

draw_panel(layer, x, y, w, h, fill_color) — shadow + outline + cream fill, slight rounded corners
draw_hud_chip(layer, x, y, icon_img, tag_color, text) — colored tag + icon + value
draw_mana_panel(layer, x, y, current, max) — pip rendering with blue fill / fg_dark empty
draw_passives_panel(layer, x, y, passives) — fire-icon header + 5 slot row
draw_hand_card(layer, x, y, card) and draw_hand(layer, x, y, hand)

Stub state at top of UI section (ui_mana_current/max, ui_passives, ui_hand) — replace with real game state when we wire in mana/cards.

Layout adjustments: ARENA_Y_MIN = 56, ARENA_Y_MAX = gh - 64, CARD_H = 44 so targets stay clear of the HUD/hand without overlap.

Things I deliberately did NOT do (flag if you want any of these):

Bottom-left deck/discard counters
Right-side ROUND X/Y indicator with progress dots
Combo chip (no combo logic exists)
Card role chips (DAMAGE/UTILITY/etc.) and descriptions
Icon shadow/outline shader pipeline for HUD elements (manual outlines look cleaner at small sizes)

Run it and let me know what's off — most likely the corner-radius mismatch between panel outline and tag fill, or the cost-dot text positioning on cards. Easy tunes once we see them.

[Pasted image/png]

All layers should use the same outline shader with the thick outline it has. You should have 2 layers, ui and ui_2 or whatever you decide to call it, and both should have the same outline shader on them. You should draw the outline for the UI element in the first layer, and what's inside it in the second layer, such that all elements are outlined. Let's try to also use better fonts. I believe FatFont from other projects at size 8 works as the BIG font, Awesome font at 16 works as mid size, and Lana should always be at 11. Every font being drawn should also be drawn as white with black outlines around them, like this image shows.

Important insight from the screenshot: the reason text turned black before isn't that the outline shader "eats" thin glyphs — it's that I was drawing text in black, so the shader produced black-around-black-text = unreadable blob. Drawing text in white with the same shader gives white-text-with-black-halo, which is exactly what the reference shows. The user is right that all the fonts can use the same shader.

Let me find FatFont and Awesome font in nearby projects.

Bash (find E:/a327ex -iname "FatFont.ttf" -o -iname "Awesome.ttf" -o -iname "Fat*.tt...)

E:/a327ex/Anchor/reference/love-compare/assets/FatPixelFont.ttf
E:/a327ex/Anchor/reference/super emoji box/assets/FatPixelFont.ttf
E:/a327ex/Anchor/reference/super emoji box/assets/fusion-pixel-10px-monospaced-latin.ttf
E:/a327ex/Anchor/reference/super emoji box/assets/fusion-pixel-12px-monospaced-latin.ttf
E:/a327ex/Anchor/reference/super emoji box/assets/fusion-pixel-8px-monospaced-latin.ttf
E:/a327ex/Anchor-lua/reference/love-compare/assets/FatPixelFont.ttf
E:/a327ex/Anchor-lua/reference/super emoji box/assets/FatPixelFont.ttf
E:/a327ex/Anchor-lua/reference/super emoji box/assets/fusion-pixel-10px-monospaced-latin.ttf
E:/a327ex/Anchor-lua/reference/super emoji box/assets/fusion-pixel-12px-monospaced-latin.ttf
E:/a327ex/Anchor-lua/reference/super emoji box/assets/fusion-pixel-8px-monospaced-latin.ttf
E:/a327ex/Anchor-YueScript/reference/love-compare/assets/FatPixelFont.ttf
E:/a327ex/Anchor-YueScript/reference/super emoji box/assets/FatPixelFont.ttf
E:/a327ex/Anchor-YueScript/reference/super emoji box/assets/fusion-pixel-10px-monospaced-latin.ttf
E:/a327ex/Anchor-YueScript/reference/super emoji box/assets/fusion-pixel-12px-monospaced-latin.ttf
E:/a327ex/Anchor-YueScript/reference/super emoji box/assets/fusion-pixel-8px-monospaced-latin.ttf
E:/a327ex/emoji-ball-battles/assets/FatPixelFont.ttf
E:/a327ex/emoji-ball-battles/old_assets/fusion-pixel-10px-monospaced-latin.ttf
E:/a327ex/emoji-ball-battles/old_assets/fusion-pixel-12px-monospaced-latin.ttf
E:/a327ex/emoji-ball-battles/old_assets/fusion-pixel-8px-monospaced-latin.ttf
E:/a327ex/emoji-ball-battles/reference/super emoji box/assets/FatPixelFont.ttf

Bash (find E:/a327ex -iname "Awesome*" 2>/dev/null | grep -v node_modules | head -10)

E:/a327ex/Orblike/assets/Awesome 9.ttf

Bash (grep -rE "Awesome|font_register.*16" E:/a327ex/emoji-ball-battles/main.lua E:/a3...)

E:/a327ex/Orblike/main.lua:-- broadest glyph coverage). FatPixelFont @ 8 and Awesome 9 @ 16 are header
E:/a327ex/Orblike/main.lua:ui_font_header_l = font_register('ui_head_l', 'assets/Awesome 9.ttf',   16)
E:/a327ex/Anchor2/arena/main.lua:fonts.main                = font_register('main', 'assets/monogram.ttf', 16)

Bash (grep -nE "font_register|FatPixel|Awesome|LanaPixel" E:/a327ex/Orblike/main.lua |...)

98:-- Debug font for the memory overlay. LanaPixel at 11px is crisp at scale=3.
99:debug_font = font_register('debug', 'assets/LanaPixel.ttf', 11)
101:-- UI fonts. LanaPixel @ 11 is the default body font for everything (it has the
102:-- broadest glyph coverage). FatPixelFont @ 8 and Awesome 9 @ 16 are header
104:ui_font_body     = font_register('ui_body',   'assets/LanaPixel.ttf',   11)
105:ui_font_header_s = font_register('ui_head_s', 'assets/FatPixelFont.ttf', 8)
106:ui_font_header_l = font_register('ui_head_l', 'assets/Awesome 9.ttf',   16)

Bash (cp "E:/a327ex/emoji-ball-battles/assets/FatPixelFont.ttf" E:/a327ex/emoji-aimer/...)

E:/a327ex/emoji-aimer/assets/Awesome 9.ttf
E:/a327ex/emoji-aimer/assets/FatPixelFont.ttf
E:/a327ex/emoji-aimer/assets/LanaPixel.ttf

Got both fonts. Now the refactor — going to restructure into the two-outlined-layer approach.

Plan:

ui_panel_layer (outlined via shader) → panel rects, mana pip frames, passive slot frames, cost dots, name-strip rects (structural fills)
ui_content_layer (outlined via shader) → all icons + all text (in white, since the shader provides the black halo)
Both run through outline_shader → both get the chunky outline
overlay_layer (no shader) → ROUND END fullscreen dim, since outlining a fullscreen rect produces a fully-black screen
cursor_layer + cursor_outline → renamed from ui_layer/ui_outline (cursor stays separate so it draws on top of everything else)
Drop hud_layer entirely

Fonts:

fonts.main — LanaPixel @ 11 (body, default)
fonts.big — FatPixelFont @ 8 (chunky display)
fonts.mid — Awesome 9 @ 16 (mid headers)

Let me read the current draw block and helpers section to know exactly what needs rewriting.

80:bg_layer        = layer_new('bg')
81:game_layer      = layer_new('game')
82:effects_layer   = layer_new('effects')
83:shadow_layer    = layer_new('shadow')
84:game_outline    = layer_new('game_outline')
85:effects_outline = layer_new('effects_outline')
86:hud_layer       = layer_new('hud')        -- HUD text + ROUND END overlay; NOT outlined
87:ui_layer        = layer_new('ui')         -- cursor (gets outline)
88:ui_outline      = layer_new('ui_outline')
89:debug_layer     = layer_new('debug')
110:font_register('main',  'assets/LanaPixel.ttf', 11)
111:font_register('big',   'assets/LanaPixel.ttf', 22)
112:font_register('debug', 'assets/LanaPixel.ttf', 11)
139:-- =============================================================================
143:-- =============================================================================
172:-- =============================================================================
177:-- =============================================================================
206:-- =============================================================================
209:-- =============================================================================
255:-- =============================================================================
260:-- =============================================================================
326:-- =============================================================================
332:-- =============================================================================
428:-- =============================================================================
442:-- =============================================================================
632:-- =============================================================================
638:-- =============================================================================
685:function draw_panel(layer, x, y, w, h, fill_color)
694:function draw_hud_chip(layer, x, y, icon_img, tag_color, text)
710:function draw_mana_panel(layer, x, y, current, max)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash (grep -nE "ui_layer|hud_layer" E:/a327ex/emoji-aimer/main.lua | head -30)

461:-- Drawn on ui_layer so it doesn't get the camera handcam jitter — the
548:  layer_push(ui_layer, self.x, self.y, 0, sx, sy)
549:  layer_push(ui_layer, 7,      9,      r, s,  s)
550:  layer_image(ui_layer, self.image, 0, 0)
551:  layer_pop(ui_layer)
552:  layer_pop(ui_layer)
655:-- All UI draws to hud_layer (NOT outline-shaded), so we draw outlines manually
890:  draw_hud_chip(hud_layer, HUD_CHIP_X, HUD_CHIP_Y,
892:  draw_hud_chip(hud_layer, HUD_CHIP_X, HUD_CHIP_Y + (HUD_CHIP_H + HUD_CHIP_GAP),
896:  draw_mana_panel(hud_layer, HUD_RIGHT_X, HUD_RIGHT_Y,
898:  draw_passives_panel(hud_layer, HUD_RIGHT_X, HUD_RIGHT_Y + (HUD_RIGHT_H + HUD_CHIP_GAP),
902:  draw_hand(hud_layer, HAND_X, HAND_Y, ui_hand)
907:    layer_rectangle(hud_layer, 0, 0, gw, gh, rgba(0, 0, 0, 80))
915:    layer_text(hud_layer, end_text, fonts.big,  gw/2 - end_w/2,  gh/2 - 16, black())
916:    layer_text(hud_layer, hint,     fonts.main, gw/2 - hint_w/2, gh/2 + 12, black())
924:  layer_render(hud_layer)
925:  layer_render(ui_layer)
936:  layer_draw_from(ui_outline, ui_layer, outline_shader)
944:  layer_draw(hud_layer)
946:  layer_draw(ui_layer)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated. All occurrences were successfully replaced.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Now the UI helpers. Going to read them and rewrite to split between ui_panel_layer (structural fills) and ui_content_layer (text + icons in white).

Read (E:/a327ex/emoji-aimer/main.lua)

680  HUD_PASSIVE_SLOT     = 12
681 HUD_PASSIVE_GAP      = 2
682 
683 -- Bottom-center hand of cards
684 CARD_W               = 36
685 CARD_H               = 44
686 CARD_GAP             = 4
687 HAND_SIZE            = 5
688 HAND_TOTAL_W         = HAND_SIZE*CARD_W + (HAND_SIZE - 1)*CARD_GAP
689 HAND_X               = (gw - HAND_TOTAL_W) / 2
690 HAND_Y               = gh - 4 - CARD_H
691 
692 -- Stub UI state — placeholder values until cards/mana/passives are wired in.
693 ui_mana_current      = 4
694 ui_mana_max          = 4
695 ui_passives          = { fire_img, star_img, direct_hit_img }   -- 3 of 5 slots filled
696 ui_hand              = {
697   { icon = fire_img,        cost = 1, name = 'FIRE'   },
698   { icon = star_img,        cost = 2, name = 'STAR'   },
699   { icon = direct_hit_img,  cost = 1, name = 'AIM'    },
700   { icon = high_voltage_img,cost = 3, name = 'BOLT'   },
701   { icon = hourglass_img,   cost = 2, name = 'TIME'   },
702 }
703 
704 -- Generic panel: drop shadow + outline + cream fill, slight rounded corners.
705 -- Outline is drawn as a rounded rect 1px larger on every side, then the fill
706 -- on top — cheaper than shader-based outlining and works for thin strokes.
707 function draw_panel(layer, x, y, w, h, fill_color)
708   fill_color = fill_color or fg
709   layer_rounded_rectangle(layer, x + 2, y + 2, w, h, PANEL_RADIUS, rgba(0, 0, 0, 100))
... [90 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Read (E:/a327ex/emoji-aimer/main.lua)

793    layer_image(ui_content_layer, card.icon, 0, 0)
794   layer_pop(ui_content_layer)
795   -- Name strip (panel layer, fg_dark band)
796   local strip_h = 12
797   layer_rectangle(ui_panel_layer, x, y + CARD_H - strip_h, CARD_W, strip_h, fg_dark())
798   -- Name text (content, FatPixelFont chunky display, white)
799   local name_w = #card.name * 6
800   layer_text(ui_content_layer, card.name, fonts.big,
801              x + (CARD_W - name_w)/2, y + CARD_H - strip_h + 1, black())
802 end
803 
804 function draw_hand(layer, x, y, hand)
805   for i = 1, #hand do
806     draw_hand_card(layer, x + (i - 1)*(CARD_W + CARD_GAP), y, hand[i])
807   end
808 end
809 
810 -- -----------------------------------------------------------------------------
811 -- init
812 -- -----------------------------------------------------------------------------
813 mouse_set_visible(false)
814 the_cursor = cursor()
815 for i = 1, TARGETS_INITIAL do try_spawn_target() end
816 
817 -- -----------------------------------------------------------------------------

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Now update the draw() function to use the new helpers and composite the new layers correctly.

Read (E:/a327ex/emoji-aimer/main.lua)

880    camera_attach(main_camera, effects_layer)
881   for _, t  in ipairs(targets) do if not t._dead  then t:draw()  end end
882   for _, fx in ipairs(effects) do if not fx._dead then fx:draw() end end
883   camera_detach(main_camera, effects_layer)
884   camera_detach(main_camera, game_layer)
885 
886   -- ---- HUD ----
887   -- Top-left chip stack: timer (blue tag) + score (yellow tag). Combo will
888   -- slot in as a 3rd chip once the combo logic exists.
889   local m  = math.floor(round_timer / 60)
890   local s  = math.floor(round_timer - m*60)
891   local tt = string.format('%02d:%02d', m, s)
892   draw_hud_chip(hud_layer, HUD_CHIP_X, HUD_CHIP_Y,
893                 hourglass_img,  blue,   tt)
894   draw_hud_chip(hud_layer, HUD_CHIP_X, HUD_CHIP_Y + (HUD_CHIP_H + HUD_CHIP_GAP),
895                 direct_hit_img, yellow, tostring(score))
896 
897   -- Top-right: mana panel + passives row stacked. Both stub data for now.
898   draw_mana_panel(hud_layer, HUD_RIGHT_X, HUD_RIGHT_Y,
899                   ui_mana_current, ui_mana_max)
900   draw_passives_panel(hud_layer, HUD_RIGHT_X, HUD_RIGHT_Y + (HUD_RIGHT_H + HUD_CHIP_GAP),
901                       ui_passives)
902 
903   -- Bottom-center: 5-card hand placeholder. No interaction yet.
904   draw_hand(hud_layer, HAND_X, HAND_Y, ui_hand)
905 
906   -- Round-end overlay. Centered on screen, dim the world behind it slightly
907   -- so it reads as a state change. Restart hint underneath in smaller text.
908   if round_state == 'ended' then
909     layer_rectangle(hud_layer, 0, 0, gw, gh, rgba(0, 0, 0, 80))
... [45 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Bash (grep -nE "\bui_layer\b|\bui_outline\b|\bhud_layer\b" E:/a327ex/emoji-aimer/main....)

656:-- All UI draws to hud_layer (NOT outline-shaded), so we draw outlines manually

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Refactor complete. Summary:

Layers (final order, bottom → top):

bg_layer (sky)
shadow_layer (game + effects shadows)
game_outline + game_layer
effects_outline + effects_layer
ui_panel_outline + ui_panel_layer ← structural fills
ui_content_outline + ui_content_layer ← text + icons
overlay_layer ← non-outlined fullscreen dim (ROUND END)
cursor_outline + cursor_layer (renamed from ui_layer / ui_outline)
debug_layer (mem tracker)

What goes where

Panel rect, tag rect, mana pip rect, slot rect, cost dot circle, name strip → ui_panel_layer
Icons (hourglass, lightning, fire, card emojis), text (timer, score, cost number, card name, ROUND END) → ui_content_layer
ROUND END dim rect → overlay_layer

Why two outlined UI layers: each layer's outline halo only extends from its OWN content. Panel + text on the same layer would merge into one silhouette and the text wouldn't get its own outline. Separate layers → each element gets independently outlined.

Fonts (matches Orblike's setup):

fonts.main — LanaPixel @ 11 (body)
fonts.big — FatPixelFont @ 8 (chunky display, used for card names + ROUND END)
fonts.mid — Awesome 9 @ 16 (registered, not yet used — for mid headers)
fonts.debug — LanaPixel @ 11 (mem tracker)

Text rendering: all text drawn in white() now (was black()). Outline shader produces the black halo around white interior, matching the reference image.

Helpers dropped the layer argument since they always write to the same two layers via globals — draw_panel(x, y, w, h), draw_hud_chip(x, y, ...), draw_mana_panel(x, y, ...), draw_passives_panel(x, y, ...), draw_hand_card(x, y, card), draw_hand(x, y, hand). Also stripped the manual outline rectangles and drop-shadow rectangles since the shader provides outlines automatically.

Couple things that may need tuning when you run it:

Card name positioning — FatPixelFont @ 8 is a different metric than LanaPixel @ 11; centered name might be slightly off. The name_w * 6 heuristic was for LanaPixel; FatPixelFont's advance is different (~4–5px? trial and error).
ROUND END text centering — same heuristic concern, * 8 is my guess for FatPixelFont @ 8.
The cost number "1" sitting on top of the cost dot — both on different layers now, so the white "1" gets its own outline. May read crisp now or may look weird against the small blue circle. Easy tweak.

Keep the UI layers, fonts, etc. Remove all UI code you added otherwise. We'll do it all again tomorrow one element at a time.

Cleaning up. Keeping: the layers, the outline derivations + composite pipeline (so adding UI tomorrow is just layer_* calls into the existing globals), the fonts, the icon assets. Removing: all UI helpers, stub state, constants, and the HUD/ROUND-END draws. Also reverting the arena bounds back to their round-loop values since the bumps were UI-driven.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Now find the exact range of the UI helpers section so I can remove it cleanly.

160:-- =============================================================================
164:-- =============================================================================
193:-- =============================================================================
198:-- =============================================================================
227:-- =============================================================================
230:-- =============================================================================
276:-- =============================================================================
281:-- =============================================================================
347:-- =============================================================================
353:-- =============================================================================
449:-- =============================================================================
464:-- =============================================================================
654:-- =============================================================================
655:-- UI helpers — render the chunky-pixel-art HUD from reference/ui_layout_2.
661:-- =============================================================================
663:PANEL_RADIUS         = 2
666:HUD_CHIP_W           = 76
667:HUD_CHIP_H           = 18
668:HUD_CHIP_TAG_W       = 18
669:HUD_CHIP_GAP         = 4
670:HUD_CHIP_X           = 4
671:HUD_CHIP_Y           = 4
674:HUD_RIGHT_W          = 96
675:HUD_RIGHT_H          = 18
676:HUD_RIGHT_X          = gw - 4 - HUD_RIGHT_W
677:HUD_RIGHT_Y          = 4
678:HUD_PIP_W            = 14
679:HUD_PIP_H            = 10
680:HUD_PIP_GAP          = 2
681:HUD_PASSIVE_SLOT     = 12
... [10 more lines]

Read (E:/a327ex/emoji-aimer/main.lua)

645    round_state      = 'playing'
646   round_timer      = ROUND_DURATION
647   score            = 0
648   kills            = 0
649   spawn_tick_timer = 0
650 
651   for i = 1, TARGETS_INITIAL do try_spawn_target() end
652 end
653 
654 -- =============================================================================
655 -- UI helpers — render the chunky-pixel-art HUD from reference/ui_layout_2.
656 -- All UI splits between ui_panel_layer (structural fills) and
657 -- ui_content_layer (text + icons). Both layers run through outline_shader,
658 -- as slightly-larger black rounded rectangles under each fill rect. The look:
659 -- cream fill + 1px black outline + 2px drop shadow, optional colored "tag"

Read (E:/a327ex/emoji-aimer/main.lua)

802               x + (CARD_W - name_w)/2, y + CARD_H - strip_h + 2, white())
803 end
804 
805 function draw_hand(x, y, hand)
806   for i = 1, #hand do
807     draw_hand_card(x + (i - 1)*(CARD_W + CARD_GAP), y, hand[i])
808   end
809 end
810 
811 -- -----------------------------------------------------------------------------
812 -- init
813 -- -----------------------------------------------------------------------------
814 mouse_set_visible(false)
815 the_cursor = cursor()
816 for i = 1, TARGETS_INITIAL do try_spawn_target() end
817 
818 -- -----------------------------------------------------------------------------
819 -- main loop
820 -- -----------------------------------------------------------------------------
821 function update(dt)
822   sync_engine_globals()
823 
824   -- Restart key when a round has ended. Run before any other state updates
825   -- so the new round is fully initialized for the rest of this frame.
826   if round_state == 'ended' and input_pressed('restart') then

Read (E:/a327ex/emoji-aimer/main.lua)

659  -- cream fill + 1px black outline + 2px drop shadow, optional colored "tag"
660 -- on the left of HUD chips.
661 -- =============================================================================
662 
663 PANEL_RADIUS         = 2
664 
665 -- Top-left HUD chip stack (timer, score)
666 HUD_CHIP_W           = 76
667 HUD_CHIP_H           = 18
668 HUD_CHIP_TAG_W       = 18
669 HUD_CHIP_GAP         = 4
670 HUD_CHIP_X           = 4
671 HUD_CHIP_Y           = 4
672 
673 -- Top-right mana / passives panels
674 HUD_RIGHT_W          = 96
675 HUD_RIGHT_H          = 18
676 HUD_RIGHT_X          = gw - 4 - HUD_RIGHT_W
677 HUD_RIGHT_Y          = 4
678 HUD_PIP_W            = 14
679 HUD_PIP_H            = 10
680 HUD_PIP_GAP          = 2
681 HUD_PASSIVE_SLOT     = 12
682 HUD_PASSIVE_GAP      = 2
683 
684 -- Bottom-center hand of cards
685 CARD_W               = 36
686 CARD_H               = 44
687 CARD_GAP             = 4
688 HAND_SIZE            = 5
... [115 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Now strip the HUD calls and ROUND END overlay from draw(), keeping the layer pipeline intact.

Read (E:/a327ex/emoji-aimer/main.lua)

718  end
719 
720 function draw()
721   layer_rectangle_gradient_v(bg_layer, 0, 0, gw, gh, sky_top(), sky_bottom())
722 
723   camera_attach(main_camera, game_layer)
724   camera_attach(main_camera, effects_layer)
725   for _, t  in ipairs(targets) do if not t._dead  then t:draw()  end end
726   for _, fx in ipairs(effects) do if not fx._dead then fx:draw() end end
727   camera_detach(main_camera, effects_layer)
728   camera_detach(main_camera, game_layer)
729 
730   -- ---- HUD ----
731   -- Each helper queues structural fills onto ui_panel_layer and text+icons
732   -- onto ui_content_layer. Both layers are outline-shaded below.
733 
734   -- Top-left chip stack: timer (blue tag) + score (yellow tag).
735   local m  = math.floor(round_timer / 60)
736   local s  = math.floor(round_timer - m*60)
737   local tt = string.format('%02d:%02d', m, s)
738   draw_hud_chip(HUD_CHIP_X, HUD_CHIP_Y,                                  hourglass_img,  blue,   tt)
739   draw_hud_chip(HUD_CHIP_X, HUD_CHIP_Y + (HUD_CHIP_H + HUD_CHIP_GAP),    direct_hit_img, yellow, tostring(score))
740 
741   -- Top-right: mana panel + passives row stacked. Both stub data for now.
742   draw_mana_panel(HUD_RIGHT_X, HUD_RIGHT_Y,                                  ui_mana_current, ui_mana_max)
743   draw_passives_panel(HUD_RIGHT_X, HUD_RIGHT_Y + (HUD_RIGHT_H + HUD_CHIP_GAP), ui_passives)
744 
745   -- Bottom-center: 5-card hand placeholder.
746   draw_hand(HAND_X, HAND_Y, ui_hand)
747 
... [40 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully.

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Bash (grep -nE "draw_panel|draw_hud_chip|draw_mana_panel|draw_passives_panel|draw_hand...)

(Bash completed with no output)

Clean — no leftover references. Final state:

Kept:

All UI layers: ui_panel_layer / ui_panel_outline, ui_content_layer / ui_content_outline, overlay_layer, cursor_layer / cursor_outline
All renders + outline derivations + composite calls (so the pipeline is ready — just write to the layer, get an outline for free)
Fonts: fonts.main (LanaPixel 11), fonts.big (FatPixelFont 8), fonts.mid (Awesome 9 @ 16), fonts.debug
Icon assets (hourglass_img, high_voltage_img, fire_img)

Removed:

All UI helpers (draw_panel, draw_hud_chip, draw_mana_panel, draw_passives_panel, draw_hand_card, draw_hand)
All UI constants (PANEL_RADIUS, HUD_CHIP_*, HUD_RIGHT_*, HUD_PIP_*, HUD_PASSIVE_*, CARD_*, HAND_*)
All stub UI state (ui_mana_current/max, ui_passives, ui_hand)
HUD timer/score/mana/passives/hand calls in draw()
ROUND END dim overlay + text

Reverted because they were UI-driven:

ARENA_Y_MIN from 56 → 30
ARENA_Y_MAX from gh - 64 → gh - 60 (with the original "future cards row" comment)

Round still works as before — timer ticks, R restarts, score/kills accumulate — just with no visible HUD. Cursor still draws (gets its outline from cursor_outline). Tomorrow you can drop UI elements directly onto ui_panel_layer/ui_content_layer one at a time and they'll get outlined automatically.

Two issues: let's add a spawn effect to each target. Tweens up in size, flashes, spring pull when it gets to max size. After a while of targets being spawned and after killing enough targets, new targets can't be killed.

Let me look at how kill() and the entities lifecycle works to figure out the bug, and also check the timer/animation API for the spawn effect.

Bash (grep -nE "^function default_kill|destroy_queue\s[|table.insert.destroy_queue...)

65:  destroy_queue[#destroy_queue + 1] = self
105:      e._dead = true

Read (E:/a327ex/Anchor2/framework/anchor/object.lua)

55   local destroy_queue = {}
56  
57  --[[
58    Default kill method installed on every entity at make_entity time.
59    If a class defines its own kill method before calling make_entity,
60    that takes precedence.
61  ]]
62  local function default_kill(self)
63    if self._dying then return end
64    self._dying = true
65    destroy_queue[#destroy_queue + 1] = self
66  end
67  
68  --[[
69    make_entity(e)
70    Assigns e.id and registers e in the global entities table.
71    Also installs a default kill method if none exists.
72    Returns e for chaining.
73  ]]
74  function make_entity(e)
75    e.id = next_id
76    next_id = next_id + 1
77    entities[e.id] = e
78    if not e.kill then e.kill = default_kill end
79    return e
80  end
81  
82  --[[
83    entity_kill(e)
84    Free function equivalent to e:kill(). Useful if you have a plain
... [5 more lines]

Read (E:/a327ex/Anchor2/framework/anchor/timer.lua)

55     return id
56  end
57  
58  -- Internal: find entry index by name.
59  local function find(t, name)
60    for i = 1, #t.entries do
61      if t.entries[i].name == name then return i end
62    end
63    return nil
64  end
65  
66  -- Internal: insert an entry, replacing any with the same name.
67  local function insert_entry(t, entry)
68    local i = find(t, entry.name)
69    if i then
70      t.entries[i] = entry
71    else
72      t.entries[#t.entries + 1] = entry
73    end
74  end
75  
76  --[[
77    timer_after(t, delay, [name,] callback)
78    Fires callback once after delay seconds.
79  ]]
80  function timer_after(t, delay, name_or_callback, callback_function)
81    local name, callback
82    if type(name_or_callback) == 'string' then
83      name, callback = name_or_callback, callback_function
84    else
... [5 more lines]

Found a likely cause for #2. Look at default_kill (sets _dying, not _dead) and the fact that _dead is only set by process_destroy_queue at end of frame. But that's not the real issue here.

The real cause: in update(), the click handler is inside the if round_state == 'playing' then wrapper. With ROUND_DURATION = 30, after 30 seconds the timer hits 0 and round_state flips to 'ended'. With no UI showing the round end, you'd just see clicks stop registering — looks exactly like "new targets can't be killed." The new targets are arriving (spawn ticks may also stop, but you don't notice that visually) and the clicks fail because they're being gated behind a state you can't see.

Two fixes coming up: spawn animation + ungate clicks (keep the round_state machine so R-restart still works, but stop gating click damage on it).

Read (E:/a327ex/emoji-aimer/main.lua)

347  -- =============================================================================
348 -- target — direct_hit emoji at TARGET_HP hp. Hit detection is a simple radius
349 -- check against the cursor at click time. Each hit pulls the spring, briefly
350 -- white-flashes the sprite, spawns an FX burst, and shakes the camera. On
351 -- 0 HP the target dies in a bigger burst and is removed; new targets spawn
352 -- via the density-tick system in update().
353 -- =============================================================================
354 target = class()
355 
356 function target:new(x, y)
357   self.x, self.y    = x, y
358   self.radius       = TARGET_RADIUS
359   self.hp           = TARGET_HP
360   self.flashing     = false
361   make_entity(self)
362   self.timer        = timer_new()
363   self.spring       = spring_new()
364   spring_add(self.spring, 'hit', 1, 3, 0.5)
365   self.image        = direct_hit_img
366   self.image_scale  = 2 * self.radius / self.image.width
367 end
368 
369 function target:contains(px, py)
370   return math.length(px - self.x, py - self.y) <= self.radius
371 end
372 
373 function target:hit(mx, my)
374   self.hp = self.hp - 1
375   spring_pull(self.spring, 'hit', 0.3, 3, 0.5)
376   self.flashing = true
... [5 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now apply spawn_scale to the draw scale so the target visually grows in:

Bash (grep -nE "function target:draw|function target:update|function target:die|functi...)

385:function target:hit(mx, my)
416:function target:die(mx, my)
447:function target:update(dt)
452:function target:draw()

Read (E:/a327ex/emoji-aimer/main.lua)

452  function target:draw()
453   local s = self.image_scale * self.spring.hit.x
454   layer_push(game_layer, self.x, self.y, 0, s, s)
455   layer_image(game_layer, self.image, 0, 0, nil, self.flashing and white())
456   layer_pop(game_layer)
457 end
458 
459 function target:destroy() end
460 
461 -- =============================================================================

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now ungate the click handler from round_state. Reading the current update() to position the change precisely:

Bash (grep -nE "round_state == 'playing'|input_pressed('click')|spawn_tick" E:/a327e...)

153:spawn_tick_timer  = 0
538:  if input_pressed('click') then
661:  spawn_tick_timer = 0
691:  if round_state == 'playing' then
701:    spawn_tick_timer = spawn_tick_timer + dt
702:    if spawn_tick_timer >= TARGET_SPAWN_TICK then
703:      spawn_tick_timer = 0
711:    if input_pressed('click') then

Read (E:/a327ex/emoji-aimer/main.lua)

688  
689   the_cursor:update(dt)
690 
691   if round_state == 'playing' then
692     -- Tick the round timer; flip to 'ended' on expiry.
693     round_timer = round_timer - dt
694     if round_timer <= 0 then
695       round_timer = 0
696       round_state = 'ended'
697     end
698 
699     -- Density-based spawn tick. Every TARGET_SPAWN_TICK seconds, if alive
700     -- count is below the (time-ramped) ideal, try to place one more target.
701     spawn_tick_timer = spawn_tick_timer + dt
702     if spawn_tick_timer >= TARGET_SPAWN_TICK then
703       spawn_tick_timer = 0
704       if alive_target_count() < ideal_target_count() then
705         try_spawn_target()
706       end
707     end
708 
709     -- Click-to-hit. mouse_position() returns game coords (480x270 space).
710     -- Targets only damage during the playing state.
711     if input_pressed('click') then
712       local mx, my = mouse_position()
713       for _, t in ipairs(targets) do
714         if not t._dead and t:contains(mx, my) then
715           t:hit(mx, my - 1)
716           break
717         end
... [8 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Both fixes done.

#1 — Spawn effect on each target. In target:new:

self.flashing = true and self.spawn_scale = 0 at construction
Tween spawn_scale 0 → 1 over 0.3s with math.cubic_out (named 'spawn' so future tweens with that name replace cleanly)
On tween completion: self.flashing = false and spring_pull(self.spring, 'hit', 0.5, 5, 0.4) — the "pop" when it lands at full size
target:draw multiplies spawn_scale into the rendered scale: image_scale * spring.hit.x * spawn_scale
target:contains returns false while spawn_scale < 0.5 — so you can't accidentally kill an invisible target during the first half of its spawn

#2 — New targets can't be killed. Moved the click handler out of the if round_state == 'playing' block. Now:

Timer countdown + state-flip + spawn tick: still gated to 'playing' (so spawning stops cleanly when the round ends)
Click damage: always runs, regardless of state
R-restart: still gated to 'ended' (works fine since the timer still flips state)

When we add round-end UI back tomorrow we can re-introduce the click gate alongside it. For now you can play indefinitely after t=30s.

One thing worth flagging: default_kill sets self._dying = true (not _dead), and _dead is only set later by process_destroy_queue. The click handler's not t._dead filter means a target that just got kill()'d in this same frame is still "alive" to subsequent clicks within that frame. Doesn't matter much in practice — the if self._dying then return end early-exit in default_kill means a re-kill is a no-op — but if you ever see weird "I clicked it twice and HP went to -1" behavior, that's the cause. Easy fix later if needed: change the filter to not (t._dead or t._dying).

Over 0.15s with math.cubic_in_out, white and red hit particles when it reaches the apex.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Done. Spawn tween is now 0.15s with math.cubic_in_out, and on completion (apex) the spring pop fires plus a 4–6 burst of hit_particles alternating between white and red — same shape as the hit/die bursts but a bit faster (velocity 80–200, duration 0.3–0.6, gravity 200, all flashing on spawn). All spawning from the target's center since this is an "arrival" pop, not a directional impact.

White and red particles should be thick. Spring pull should be bouncier.

Read (E:/a327ex/Anchor2/framework/anchor/spring.lua)

1    --[[
2     spring — procedural damped spring animation.
3   
4     Usage:
5       self.spring = spring_new()                       -- in constructor
6       spring_add(self.spring, 'scale', 1, 5, 0.5)      -- name, initial value, frequency, bounce
7       spring_pull(self.spring, 'scale', 0.3)           -- apply impulse
8       spring_update(self.spring, dt)                   -- in update
9   
10      -- Read current value:
11      local s = self.spring.scale.x
12  
13    A default 'main' spring at value 1 is created on spring_new() for convenience.
14    You typically use spring.main.x as a single pulsing value for hit flashes,
15    click feedback, etc.
16  
17    Spring parameters:
18      frequency - oscillations per second (higher = faster)
19      bounce    - bounciness 0-1 (0=no overshoot, 1=infinite oscillation)
20      bounce=0.5 is moderate overshoot, common for hit reactions.
21  ]]
22  
23  --[[
24    spring_new()
25    Creates a new spring container with a default 'main' spring at value 1.
26  ]]
27  function spring_new()
28    local s = {
29      _names = {},
30    }
... [80 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Two tweaks:

Thick particles: added w = 14, h = 8 overrides on the spawn burst (same dimensions as the death-burst capsules in target:die). Without those, hit_particle defaults to w = remap(velocity, 0, 250, 4, 12) and h = remap(velocity, 0, 250, 2, 6), which at our velocity 80–200 lands around 4–10 wide and 2–5 tall — too thin.
Bouncier spring: spring_pull(self.spring, 'hit', 0.6, 5, 0.75). Force bumped from 0.5 → 0.6 (slightly bigger initial pop) and bounce from 0.4 → 0.75 (per spring.lua docs: 0 = no overshoot, 1 = infinite oscillation; 0.75 is well into the "noticeably bouncy" range).

Actually, instead of hit particles, let's spawn emoji particles that are the hit target itself (small though), no gravity.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Swapped. The spawn burst now fires 4–6 small direct_hit emoji particles instead of capsules: same velocity (80–200), same duration (0.3–0.6), scale 0.5–0.8 (so they render at ~7–11px vs. the target's 24px), gravity = 0 so they fly out cleanly without arcing down, and a brief 30%-of-duration white flash on spawn for the pop.

3 particles, slightly bigger initial scale and velocity.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Done. Fixed at 3 particles, velocity bumped 80–200 → 120–240, scale bumped 0.5–0.8 → 0.7–1.0.

Let's add an HP bar to each target. Reference games have a default way HP bars are done, just copy that.

Bash (grep -rnE "hp_bar|hp_bar_w|draw_hp|health_bar" E:/a327ex/emoji-ball-battles/main...)

E:/a327ex/emoji-ball-battles/main.lua:1998:  self:add(hp_bar())
E:/a327ex/emoji-ball-battles/main.lua:2418:  self.hp_bar:activate()
E:/a327ex/emoji-ball-battles/main.lua:2931:hp_bar = object:extend()
E:/a327ex/emoji-ball-battles/main.lua:2933:function hp_bar:new(args)
E:/a327ex/emoji-ball-battles/main.lua:2935:  object.new(self, 'hp_bar')
E:/a327ex/emoji-ball-battles/main.lua:2946:function hp_bar:update(dt)
E:/a327ex/emoji-ball-battles/main.lua:2959:function hp_bar:activate()
E:/a327ex/emoji-ball-battles/reference/super emoji pop/main.lua:264:    self:add(hp_bar(self, self.w/2 + 6, 2))
E:/a327ex/emoji-ball-battles/reference/super emoji pop/main.lua:277:hp_bar = class:class_new(object)
E:/a327ex/emoji-ball-battles/reference/super emoji pop/main.lua:278:function hp_bar:new(parent, y, duration)
E:/a327ex/emoji-ball-battles/reference/super emoji pop/main.lua:279:  self:object('hp_bar', args)
E:/a327ex/emoji-ball-battles/reference/super emoji pop/main.lua:287:function hp_bar:update(dt)
E:/a327ex/emoji-ball-battles/reference/super emoji box/main.lua:592:    self:add(hp_bar(self, self.w/2 + 6))
E:/a327ex/emoji-ball-battles/reference/super emoji box/main.lua:732:hp_bar = class:class_new(object)
E:/a327ex/emoji-ball-battles/reference/super emoji box/main.lua:733:function hp_bar:new(parent, y, duration)
E:/a327ex/emoji-ball-battles/reference/super emoji box/main.lua:734:  self:object('hp_bar', args)
E:/a327ex/emoji-ball-battles/reference/super emoji box/main.lua:742:function hp_bar:update(dt)

Read (E:/a327ex/emoji-ball-battles/main.lua)

2925   self.collider:set_gravity_scale(1)
2926      self.collider:apply_impulse(an.random:sign()*an.random:float(5, 10), an.random:float(-10, 10))
2927      self.collider:set_angular_velocity(self.base_angular_velocity)
2928    end
2929    
2930    
2931    hp_bar = object:extend()
2932    
2933    function hp_bar:new(args)
2934      args = args or {}
2935      object.new(self, 'hp_bar')
2936      self.offset_y = args.offset_y or 18
2937      self.w = args.w or 22
2938      self.h = args.h or 4
2939      self.bg_color = args.bg_color or black()
2940      self.fill_color = args.fill_color or red()
2941      self.visible = false
2942      self:add(timer())
2943      self:add(spring())
2944    end
2945    
2946    function hp_bar:update(dt)
2947      local x = self.parent.x
2948      local y = self.parent.y + self.offset_y
2949      local fill_w = self.w*(self.parent.hp/self.parent.max_hp)
2950    
2951      if self.visible then
2952        ui:push(x, y, 0, self.spring.main.x, self.spring.main.x)
2953        ui:rounded_rectangle(-self.w/2, -self.h/2, self.w, self.h, 3, self.bg_color)
2954        ui:rounded_rectangle(-self.w/2, -self.h/2, fill_w, self.h, 3, self.flashing and white() or self.fill_color)
... [45 more lines]

Found the canonical pattern at emoji-ball-battles/main.lua:2931-2965: 22w × 4h rounded rect, black bg + red fill, drawn at parent.y + 18, with a "pop" spring + 0.15s white flash on activate, hidden by default and auto-hides 2s after the last hit. I'll inline the state into target (timer + spring + a couple flags) since v2 favors compositional fields over a separate child entity.

Read (E:/a327ex/emoji-aimer/main.lua)

356  function target:new(x, y)
357   self.x, self.y    = x, y
358   self.radius       = TARGET_RADIUS
359   self.hp           = TARGET_HP
360   self.flashing     = true                    -- flash white during spawn animation
361   self.spawn_scale  = 0                       -- 0 → 1 over the spawn tween (see below)
362   make_entity(self)
363   self.timer        = timer_new()
364   self.spring       = spring_new()
365   spring_add(self.spring, 'hit', 1, 3, 0.5)
366   self.image        = direct_hit_img
367   self.image_scale  = 2 * self.radius / self.image.width
368 
369   -- Spawn-in: tween size 0 → 1 over 0.15s with cubic ease-in-out, flash
370   -- white through the whole tween, then a spring "pop" + white/red hit
371   -- particle burst on landing. The target isn't clickable until spawn_scale
372   -- crosses 0.5 (see :contains) so the player can't accidentally kill an
373   -- invisible/just-emerging target.
374   timer_tween(self.timer, 0.15, 'spawn', self, { spawn_scale = 1 }, math.cubic_in_out,
375     function()
376       self.flashing = false
377       spring_pull(self.spring, 'hit', 0.6, 5, 0.75)
378       for i = 1, 3 do
379         spawn_emoji_particle(self.x, self.y, direct_hit_img, {
380           velocity       = random_float(140, 200),
381           direction      = random_angle(),
382           duration       = random_float(0.3, 0.5),
383           scale          = random_float(1.0, 1.2),
384           gravity        = 0,
385           flash_on_spawn = 0.3,

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now hook the HP bar activation into target:hit:

Read (E:/a327ex/emoji-aimer/main.lua)

395  function target:contains(px, py)
396   if self.spawn_scale < 0.5 then return false end
397   return math.length(px - self.x, py - self.y) <= self.radius
398 end
399 
400 function target:hit(mx, my)
401   self.hp = self.hp - 1
402   spring_pull(self.spring, 'hit', 0.3, 3, 0.5)
403   self.flashing = true
404   timer_after(self.timer, 0.08, function() self.flashing = false end)
405 
406   spawn_hit_effect(mx, my, { s = 1 })
407   for i = 1, random_int(2, 2) do
408     spawn_hit_particle(mx, my, {
409       velocity       = random_float(120, 200),
410       direction      = random_angle(),
411       duration       = random_float(0.25, 0.6),
412       color          = yellow,
413       gravity        = 256,
414       flash_on_spawn = true,
415     })
416   end
417   for i = 1, random_int(1, 1) do
418     spawn_emoji_particle(mx, my, star_img, {
419       velocity       = random_float(80, 150),
420       direction      = random_angle(),
421       duration       = random_float(0.3, 0.8),
422       scale          = 1,

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now extend target:draw to render the bar when visible. Drawing on game_layer so it (a) gets the camera handcam jitter — bar moves with the target, (b) gets the same outline shader treatment as the target. The 18px offset is enough that bar and target outlines don't merge.

Bash (grep -nE "function target:draw" E:/a327ex/emoji-aimer/main.lua)

475:function target:draw()

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

HP bar in. Direct port of emoji-ball-battles/main.lua:2931's hp_bar class, inlined into target per v2's "compositional fields" rule:

State added to target:new: max_hp, hp_visible (false by default), hp_flashing, plus a 'hp' spring on the existing self.spring.
Activation in target:hit: flips hp_visible = true, pulls the hp spring (force 0.5, freq 3, bounce 0.5), starts a 0.15s 'hp_flash' flash timer, and a 2s 'hp_hide' auto-hide timer. Both timers are named — every subsequent hit replaces them, so the 2s clock resets on each hit (matches reference behavior).
Drawing in target:draw (after the target sprite): black bg rect 22×4 with corner radius 2, red fill rect of width 22 * (hp/max_hp), both layer_push'd at (target.x, target.y + 18) and scaled by spring.hp.x so they pop together. Flash swaps the fill to white().
Drawn on game_layer so it inherits the camera handcam jitter (bar moves with the target) and the outline shader treatment. The 18px offset keeps the bar's outline from merging with the target's outline silhouette.

Once a target has been hit, never make the HP bar disappear.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Dropped the 2s 'hp_hide' timer. Now once hp_visible flips true on the first hit, it stays true for the rest of the target's life. Round reset still cleans things up because the target gets killed and a fresh one spawns with hp_visible = false.

Now there's a general damage number class in references used for damage. Let's use that for score. Each hit grants a certain amount of score, kill grants more. We'll visually this by using those numbers. They should spawn from slightly above the center of the target, and go up rather quickly and despawn rather fast.

Bash (grep -rnE "damage_number|dmg_number|score_pop|number_pop|class\s(?\s['\"]dama...)

E:/a327ex/emoji-ball-battles/main.lua:2415:  self.parent:add(damage_number(self.x, self.y - self.radius - 10, amount, {duration_multiplier = 0.5, layer = recolor_blue}))
E:/a327ex/emoji-ball-battles/main.lua:4322:damage_number = object:extend()
E:/a327ex/emoji-ball-battles/main.lua:4324:function damage_number:new(x, y, amount, args)
E:/a327ex/emoji-ball-battles/main.lua:4354:function damage_number:update(dt)

Read (E:/a327ex/emoji-ball-battles/main.lua)

4322 damage_number = object:extend()
4323    
4324    function damage_number:new(x, y, amount, args)
4325      self.x, self.y = x, y
4326      args = args or {}
4327      object.new(self)
4328      self.vy = args.vy or -24
4329      self.duration_multiplier = args.duration_multiplier or 1
4330      self.scale = 12/512
4331      self.draw_layer = args.layer or recolor_blue
4332      self:add(spring())
4333      self.spring:pull('main', 0.5, 3, 0.7)
4334    
4335      -- Create character data for each digit
4336      self.characters = {}
4337      local text = tostring(amount)
4338      for i = 1, #text do
4339        local digit = text:sub(i, i)
4340        table.insert(self.characters, {
4341          image = an.images[digit],
4342          rotation = an.random:float(-math.pi/16, math.pi/16),
4343          angular_speed = an.random:float(-math.pi/4, math.pi/4),
4344          offset_y = 0,
4345        })
4346      end
4347    
4348      self:add(timer())
4349      self.timer:after(0.25*self.duration_multiplier, function()
4350        self.timer:tween(0.75*self.duration_multiplier, self, {scale = 0}, math.cubic_in_out, function() self:kill() end)
4351      end)
... [45 more lines]

Bash (ls "E:/a327ex/emoji-ball-battles/assets" | grep -E "^[0-9].png$" 2>&1; echo "--...)

0.png
1.png
2.png
3.png
4.png
5.png
6.png
7.png
8.png
9.png
---ours---

Bash (file "E:/a327ex/emoji-ball-battles/assets/0.png" "E:/a327ex/emoji-ball-battles/a...)

E:/a327ex/emoji-ball-battles/assets/0.png: PNG image data, 512 x 512, 8-bit/color RGBA, non-interlaced
E:/a327ex/emoji-ball-battles/assets/9.png: PNG image data, 512 x 512, 8-bit/color RGBA, non-interlaced
10

Read (E:/a327ex/emoji-aimer/assets/3.png)

[
  {
    "type": "image",
    "source": {
      "type": "base64",
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",
      "media_type": "image/png"
    }
  }
]

Found the canonical pattern in emoji-ball-battles/main.lua:4322. It uses per-digit emoji images (0.png–9.png are gray rounded keycap-style sprites). Just copied them to our assets. Going to port the class to v2 patterns and hook it into hit/kill.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now add the HIT_SCORE / KILL_SCORE constants and the damage_number class. Let me find where to insert it — right after emoji_particle so it lives with the other effects.

Bash (grep -nE "^TARGET_RADIUS|^TARGET_HP|^CURSOR_SIZE|^function emoji_particle:destro...)

48:TARGET_RADIUS = 12
49:TARGET_HP     = 3
51:CURSOR_SIZE = 22
353:function emoji_particle:destroy() end
362:target = class()

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Read (E:/a327ex/emoji-aimer/main.lua)

352    layer_image(effects_layer, self.image, 0, 0, nil, self.flashing and white())
353   layer_pop(effects_layer)
354 end
355 
356 function emoji_particle:destroy() end
357 
358 -- =============================================================================
359 -- target — direct_hit emoji at TARGET_HP hp. Hit detection is a simple radius
360 -- check against the cursor at click time. Each hit pulls the spring, briefly
361 -- white-flashes the sprite, spawns an FX burst, and shakes the camera. On
362 -- 0 HP the target dies in a bigger burst and is removed; new targets spawn
363 -- via the density-tick system in update().
364 -- =============================================================================
365 target = class()
366

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now wire it into hits/kills, add the spawn helper, and remove the old hardcoded score = score + 100 from target:die:

Bash (grep -nE "function spawn_hit_circle|function spawn_emoji_particle|score = score ...)

541:  kills = kills + 1
542:  score = score + 100
688:function spawn_hit_circle(x, y, args)
706:function spawn_emoji_particle(x, y, image, args)

Read (E:/a327ex/emoji-aimer/main.lua)

700  function spawn_hit_particle(x, y, args)
701   local hp = hit_particle(x, y, args)
702   effects[#effects + 1] = hp
703   return hp
704 end
705 
706 function spawn_emoji_particle(x, y, image, args)
707   local ep = emoji_particle(x, y, image, args)
708   effects[#effects + 1] = ep
709   return ep
710 end
711 
712 function spawn_target(x, y)
713   local t = target(x, y)
714   targets[#targets + 1] = t
715   return t
716 end
717 
718 -- Try to spawn one target at a random arena position. Bails (returns false)
719 -- if every attempt overlapped an existing target's TARGET_MIN_SPAWN_DIST
720 -- exclusion zone. Caller is responsible for deciding *whether* to spawn —
721 -- this just handles the "find a safe spot" placement.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now hook into target:hit (compute score gain inline; spawn the popup) and remove the hardcoded score = score + 100 from target:die:

Read (E:/a327ex/emoji-aimer/main.lua)

466          })
467       end
468     end)
469 end
470 
471 function target:contains(px, py)
472   if self.spawn_scale < 0.5 then return false end
473   return math.length(px - self.x, py - self.y) <= self.radius
474 end
475 
476 function target:hit(mx, my)
477   self.hp = self.hp - 1
478   spring_pull(self.spring, 'hit', 0.3, 3, 0.5)
479   self.flashing = true
480   timer_after(self.timer, 0.08, function() self.flashing = false end)
481 
482   -- HP bar: show (stays visible for the rest of the target's life) + pop +
483   -- 0.15s white flash. Diverges from the reference's 2s auto-hide — bar
484   -- never disappears once revealed.
485   self.hp_visible  = true
486   self.hp_flashing = true
487   spring_pull(self.spring, 'hp', 0.5, 3, 0.5)
488   timer_after(self.timer, 0.15, 'hp_flash', function() self.hp_flashing = false end)
489 
490   spawn_hit_effect(mx, my, { s = 1 })
491   for i = 1, random_int(2, 2) do
492     spawn_hit_particle(mx, my, {
493       velocity       = random_float(120, 200),
494       direction      = random_angle(),
495       duration       = random_float(0.25, 0.6),

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Damage numbers wired up. Summary:

Assets — copied 0.png–9.png keycap-style digit sprites from emoji-ball-battles/assets. Loaded into digit_imgs as a string-keyed table (digit_imgs['0'] through digit_imgs['9']) so tostring(amount):sub(i, i) lookups work directly — same shape as the reference's an.images['0'..'9'].

Constants — HIT_SCORE = 10, KILL_SCORE = 50.

damage_number class — direct port of emoji-ball-battles/main.lua:4322, adapted to v2 procedural patterns:

Per-character state (rotation, angular_speed, offset_y) for individual wobble + bob
Spring 'main' pulled 0.5/3/0.7 at construction for the spawn pop
Holds for 0.25 * duration_multiplier, then shrinks to scale 0 over 0.75 * dm with cubic_in_out, then :kill()
Tuned per your spec: vy = -60 (rises quickly), duration_multiplier = 0.6 → 0.6s total visible — "despawn rather fast"
Drawn on effects_layer so it gets the camera handcam jitter + outline shader

Spawn helper — spawn_damage_number(x, y, amount, args) pushes into effects like the other particle spawners.

Hooked into target:hit — computes gain = HIT_SCORE (+ KILL_SCORE if this is the killing hit), adds to global score, spawns one number at (self.x, self.y - self.radius - 6) (slightly above the target center). Removed the hardcoded score = score + 100 from target:die; that path now only bumps the kills counter.

Likely visual gotchas worth flagging:

Each digit is a 12px gray rounded keycap with a white digit on top. The outline shader will outline each digit's silhouette. With the 12px stride between digit centers and a ~2px outline halo on each side, adjacent digits' outlines will overlap into one merged silhouette per number — could look like a single chunky outlined number rather than separate keycap squares. We'll see.
Reference uses a recolor_blue layer to tint the gray digits blue. We don't have that — they'll render in their natural gray. If you want a color (yellow for score is a common arcade choice), easiest path is to add a color arg passed to layer_image's 5th-position tint multiplier, or set up a recolor shader pass.

Randomize hit score between 0 and 1000 make initial Y offset between letters less spread (so they look more aligned and less vertically jagged), make the velocity that it goes up slightly faster and each number last slightly shorter. Color numbers based on their score, using the same kinds of colors that games use for rarity in their weapons, like common, rare, epic, legendary, whatever, right? They have a color progression where the rarer it is it gets a different color, use the same here, except for numbers. 1-10, 11-50, 51-100, 101-500, 501-1000. There are usually standard colors here for that, use those (within the emoji palette we're decided on). And then color the numbers based on that, now they're gray. I believe the original must color them with a shader.

E:/a327ex/emoji-ball-battles/main.lua:50:recolor_blue = an:layer('recolor_blue')
E:/a327ex/emoji-ball-battles/main.lua:67:an:shader('recolor', 'assets/recolor.frag')
E:/a327ex/emoji-ball-battles/main.lua:303:  recolor_blue:render()
E:/a327ex/emoji-ball-battles/main.lua:310:  effects:draw_from(recolor_blue, an.shaders.recolor)
E:/a327ex/emoji-ball-battles/main.lua:2415:  self.parent:add(damage_number(self.x, self.y - self.radius - 10, amount, {duration_multiplier = 0.5, layer = recolor_blue}))
E:/a327ex/emoji-ball-battles/main.lua:4331:  self.draw_layer = args.layer or recolor_blue
E:/a327ex/emoji-ball-battles/main.lua:4528:      layer = char == '+' and effects or recolor_blue,

Bash (find E:/a327ex/emoji-ball-battles/assets -name "recolor*" 2>&1; cat E:/a327ex/em...)

E:/a327ex/emoji-ball-battles/assets/recolor.frag
// Recolor shader - maps grayscale emoji to target color
// Gray background becomes target color, white text stays white
in vec2 TexCoord;
out vec4 FragColor;
uniform sampler2D u_texture;
uniform vec4 u_target_color;  // target color (0-1 range, alpha ignored)

void main() {
    vec4 tex = texture(u_texture, TexCoord);

    // Grayscale value
    float gray = tex.r;

    // Background is 120/255 (~0.471), text is 1.0
    // Normalize: 0.471 -> 0, 1.0 -> 1
    float t = (gray - 0.471) / (1.0 - 0.471);
    t = clamp(t, 0.0, 1.0);

    // Mix target color -> white
    vec3 color = mix(u_target_color.rgb, vec3(1.0), t);

    FragColor = vec4(color, tex.a);
}

Bash (grep -nE "shader_set_vec[1-4]_immediate|shader_set_float_immediate" E:/a327ex/An...)

5481:static int l_shader_set_float_immediate(lua_State* L) {
5491:static int l_shader_set_vec2_immediate(lua_State* L) {
5502:static int l_shader_set_vec4_immediate(lua_State* L) {
9137:    lua_register(L, "shader_set_float_immediate", l_shader_set_float_immediate);
9138:    lua_register(L, "shader_set_vec2_immediate", l_shader_set_vec2_immediate);
9139:    lua_register(L, "shader_set_vec4_immediate", l_shader_set_vec4_immediate);

Bash (cp E:/a327ex/emoji-ball-battles/assets/recolor.frag E:/a327ex/emoji-aimer/assets...)

E:/a327ex/emoji-aimer/assets/recolor.frag

Now wire in the recolor shader, an intermediate digit_layer, and the rarity-tier mapping. Reading the current draw flow first to know where to slot the bucketed recolor pass:

Bash (grep -nE "shader_load_file|recolor|shadow_shader|outline_shader" E:/a327ex/emoji...)

97:-- Both have a derived <layer>_outline pass that runs outline_shader on them.
117:shadow_shader  = shader_load_file('assets/shadow.frag')
118:outline_shader = shader_load_file('assets/outline.frag')
119:shader_set_vec2_immediate(outline_shader, 'u_pixel_size', 1/gw, 1/gh)
888:  layer_draw_from(shadow_layer, game_layer,    shadow_shader)
889:  layer_draw_from(shadow_layer, effects_layer, shadow_shader)
892:  layer_draw_from(game_outline, game_layer, outline_shader)
894:  layer_draw_from(effects_outline, effects_layer, outline_shader)
896:  layer_draw_from(ui_panel_outline, ui_panel_layer, outline_shader)
898:  layer_draw_from(ui_content_outline, ui_content_layer, outline_shader)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now apply all the damage_number tweaks: store rarity color, less Y spread between digits, faster vy, shorter duration. Add rarity_color_for(amount). Update spawn/draw to push to digit_layer:

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now update target:hit to randomize hit score 0–1000 and pass the rarity color through spawn_damage_number:

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now the bucketed recolor pass in draw(). Need to (a) skip damage_numbers in the regular effects iteration since they draw to digit_layer, (b) after effects_layer is rendered, bucket by rarity_color, render each bucket through recolor_shader into effects_layer so they get the outline pass too.

Read (E:/a327ex/emoji-aimer/main.lua)

878    end
879 
880   -- Effects (particles, hit_effects) keep updating across state boundaries
881   -- so they finish their animations cleanly when the round ends.
882   collection_update(targets, dt)
883   collection_update(effects, dt)
884 
885   camera_update(main_camera, dt)
886   process_destroy_queue()
887   memory_tracker_update(mem_tracker)
888 end
889 
890 function draw()
891   layer_rectangle_gradient_v(bg_layer, 0, 0, gw, gh, sky_top(), sky_bottom())
892 
893   camera_attach(main_camera, game_layer)
894   camera_attach(main_camera, effects_layer)
895   for _, t  in ipairs(targets) do if not t._dead  then t:draw()  end end
896   for _, fx in ipairs(effects) do if not fx._dead then fx:draw() end end
897   camera_detach(main_camera, effects_layer)
898   camera_detach(main_camera, game_layer)
899 
900   -- HUD / cards / overlays go here when we rebuild the UI tomorrow. Draw
901   -- structural fills (panels, slots, dots) to ui_panel_layer; text + icons
902   -- to ui_content_layer in white; fullscreen overlays to overlay_layer.
903 
904   the_cursor:draw()
905 
906   -- Render queues to FBOs
907   layer_render(bg_layer)
... [15 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

All requested changes applied. Summary:

Tweaks

random_int(0, 1000) per hit (so all 5 rarity tiers actually fire while testing). Killing-hit bonus still adds KILL_SCORE.
Y wobble: amplitude 4 → 2, phase offset between digits +i → +i*0.3. Adjacent digits now bob at nearly the same phase with smaller deflection — reads as one cohesive number.
vy: -60 → -80 (slightly faster rise).
duration_multiplier: 0.6 → 0.5 → ~0.5s total visible (slightly shorter).

Rarity coloring (the real work — uses the recolor shader, not a tint)

Copied assets/recolor.frag from emoji-ball-battles. It maps the gray keycap (luminance 0.471) to the target color while keeping the white digit white — so the chip becomes "rarity color with a white number on top," not a flat single-color blob.
New digit_layer for the per-rarity rendering.
rarity_color_for(amount) returns one of: white (1–10 / common), green (11–50 / uncommon), blue (51–100 / rare), purple (101–500 / epic), orange (501+ / legendary). Standard ARPG ladder, all colors already in our palette.
damage_number:new stores args.color as self.rarity_color. damage_number:draw queues to digit_layer instead of effects_layer.
New pass in draw():
1. Iterate effects, bucket damage_numbers by rarity_color (color object as table key — color globals are stable references so identity works).
2. For each bucket: queue all its digits onto digit_layer, layer_render(digit_layer), set u_target_color uniform via shader_set_vec4_immediate, then layer_draw_from(effects_layer, digit_layer, recolor_shader) — the digits land on effects_layer already recolored.
3. The regular effects_layer particle iteration above skips damage_numbers (if not fx.rarity_color) so they only draw via the recolor pass.
Pass runs before the effects_outline derivation, so each colored number gets the standard chunky outline along with the rest of the effects.

Likely visual issues to flag:

Per-tier passes use one layer_render(digit_layer) per bucket — the FBO clears between buckets so prior buckets don't bleed in. With 5 rarities max, that's at most 5 fullscreen quads + 5 layer renders per frame. Cheap.
Color-object identity as a table key works because we use the named globals (white, green, etc.) consistently. If anything ever creates an ad-hoc inline color(...) and passes it as a damage-number color, that would land in its own bucket. Fine for now since rarity_color_for only returns the named globals.

Weigh scores to be more likely at 1-100.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Done. random_float(0, 1)^4 * 999 + 1 — uniform 0..1, raised to the 4th power, scaled into 1..1000.

Approximate distribution per tier:

common (1–10) ≈ 32%
uncommon (11–50) ≈ 16%
rare (51–100) ≈ 9%
epic (101–500) ≈ 28%
legendary (501–1000) ≈ 16%

So ~56% of rolls land in the 1–100 range. If you want it heavier, easy tunes:

^5 → ~63% in 1–100
^6 → ~68% in 1–100
^8 → ~75% in 1–100

The kill-bonus still adds KILL_SCORE = 50 on top of the rolled value, which can shift the killing hit's rolled value into a higher tier (e.g., a 40 roll on the killing blow becomes 90, jumping common→rare). That's a nice "kills feel rewarding" side effect, but mention it in case you want kills to use a separate, also-weighted formula instead.

First color makes the number not visible.

The recolor shader maps the gray keycap bg → target color and keeps the digit white. When target is white, both end up white and the digit disappears. Swapping white → gray for the lowest tier — gray is the canonical "poor / no-rarity" color in ARPGs anyway, and gives the white digit clear contrast against a medium-gray keycap.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Common tier now uses gray (#808080). Digit stays white via the shader, keycap renders as medium gray — clear contrast.

1-10 = gray, 11-25 = green, 26-50 = blue, 51-100 = purple, 101-200 = orange, 201-500 = red

30, 20, 15, 10, 5, 5 -> use the random module weighted pick function with these values for each range

Bash (grep -nE "^function random_|weighted|weights" E:/a327ex/Anchor2/framework/anchor...)

(Bash completed with no output)

Bash (grep -rnE "random_weighted|weighted_pick|weighted|^function random_" E:/a327ex/A...)

(Bash completed with no output)

Bash (grep -nE "^function|weighted" E:/a327ex/Anchor2/framework/anchor/math.lua | head...)

55:function math.lerp(t, source, destination)
79:function math.lerp_dt(p, t, dt, source, destination)
98:function math.damping(p, t, dt, v)
120:function math.loop(t, length)
142:function math.lerp_angle(t, source, destination)
167:function math.lerp_angle_dt(p, t, dt, source, destination)
184:function math.sign(value)
203:function math.length(x, y)
222:function math.clamp(value, min, max)
250:function math.remap(value, old_min, old_max, new_min, new_max)
269:function math.angle(x, y)
287:function math.angle_to_point(x1, y1, x2, y2)
304:function math.distance(x1, y1, x2, y2)
323:function math.normalize(x, y)
345:function math.direction(angle)
363:function math.rotate(x, y, angle)
387:function math.reflect(angle, normal_x, normal_y)
415:function math.snap(value, grid)
437:function math.limit(x, y, max)
448:function math.linear(t) return t end
451:function math.sine_in(t)
457:function math.sine_out(t)
463:function math.sine_in_out(t)
469:function math.sine_out_in(t)
477:function math.quad_in(t) return t*t end
479:function math.quad_out(t) return -t*(t - 2) end
481:function math.quad_in_out(t)
490:function math.quad_out_in(t)
501:function math.cubic_in(t) return t*t*t end
503:function math.cubic_out(t)
... [21 more lines]

Bash (grep -rnE "weighted_pick|random:weighted|random.weighted|weighted_choice" E:/a3...)

E:/a327ex/emoji-ball-battles/anchor/random.lua:190:    index = self.random:weighted(weights)
E:/a327ex/emoji-ball-battles/anchor/random.lua:197:function random:weighted(weights)

Read (E:/a327ex/emoji-ball-battles/anchor/random.lua)

180  ]]
181 function random:choices(array, n)
182   return random_choices(array, n, self.rng)
183 end
184 
185 --[[
186   Returns an index based on weighted probabilities.
187 
188   Usage:
189     weights = {1, 2, 7}  -- 10%, 20%, 70%
190     index = self.random:weighted(weights)
191 
192   Parameters:
193     weights - array of numeric weights
194 
195   Returns: 1-based index into the weights array
196 ]]
197 function random:weighted(weights)
198   return random_weighted(weights, self.rng)
199 end
200 
201 --[[
202   Returns the current seed.
203 
204   Usage:
205     seed = self.random:get_seed()
206 
207   Returns: the seed used to initialize this RNG
208 ]]
209 function random:get_seed()
... [5 more lines]

Bash (grep -nE "^function random_weighted|^function random_choices|random_weighted" E:...)

198:  return random_weighted(weights, self.rng)

Bash (grep -rnE "random_weighted|weighted_pick|^function random_" E:/a327ex/Anchor2/fr...)

E:/a327ex/Anchor2/engine/src/anchor.c:7851:// random_weighted(weights, rng?) - Returns index (1-based) based on weights
E:/a327ex/Anchor2/engine/src/anchor.c:7852:static int l_random_weighted(lua_State* L) {
E:/a327ex/Anchor2/engine/src/anchor.c:9243:    lua_register(L, "random_weighted", l_random_weighted);

random_weighted is in the engine — just call random_weighted({30, 20, 15, 10, 5, 5}) and it returns a 1-based index. Restructuring around tier picking:

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Restructured.

SCORE_TIERS — 6-entry table: {lo, hi, color} rows for {1-10/gray, 11-25/green, 26-50/blue, 51-100/purple, 101-200/orange, 201-500/red}.
SCORE_TIER_WEIGHTS — {30, 20, 15, 10, 5, 5} aligned 1:1 with the tiers.
roll_score() — calls random_weighted(SCORE_TIER_WEIGHTS) (the engine helper at anchor.c:7851), returns (random_int within tier, tier.color).
target:hit now does local gain, col = roll_score(), applies the kill bonus, passes col straight to spawn_damage_number. The old r^4 weighting and rarity_color_for function are gone.

Probability per tier (with weight total 85): gray 35%, green 24%, blue 18%, purple 12%, orange 6%, red 6%.

The kill bonus (+50) still adds on top of the rolled value, so a "gray-tier roll on the killing hit" might display 51–60 in gray — color reflects the roll, not the displayed number. If you want the color to follow the final number instead, easy swap (re-derive color from gain after adding the bonus).

51 is coming out as grey

That's the kill-bonus mismatch — gray rolls (1–10) plus the +50 kill bonus land at 51–60, which is the purple range numerically but the color stayed gray because I was using the rolled tier's color instead of re-deriving from the final number. Fixing by computing color from the final amount.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Now roll_score() returns just the gain (no color), and tier_color_for(gain) is called after the kill bonus is added — so 51 now correctly resolves to purple (51 ≤ tier.hi=100), not gray. Anything that overshoots the top tier's hi (501+) falls into red via the post-loop fallback.

OK, now let's make the game loop work. Targets spawn as they do now, there's a target score per round and a timer. You can draw those as simple text without UI for now. Default score per hit is 1, per kill is 5 (total on a kill should be 5, not 6). All you need to do is make sure that the game goes from round 1 to 2 to 3 to 4 as the player gets the required scores. Round 1, required score = 10, time = 30s, hit score 1, death score 5. Round 2, required score 50, time 30s, 5, 10. Round 3, required score 250, time 30s, 10, 25. Round 4, required score 1000, time 30s, 20, 40. If the time ends on any round and the player doesn't have above the target score, the player loses, game stops and says game over or you lost, press R start a new run. If the player reaches the target score, the round ends and he moves to the next. If the player wins round 4, it says you won, press R to start a new run.

Big change. Let me check if there's a text-width helper for centering, then write the loop.

Bash (grep -nE "font_get_text_width|font_text_width|text_width" E:/a327ex/Anchor2/fram...)

26:function font:text_width(text)
27:  return font_get_text_width(self.name, text)

Plan: replace per-round constants with a ROUNDS config table, rename round_state → game_state ('playing' | 'won' | 'lost'), add round_index, kill the now-stale random tier picker (keep SCORE_TIERS + tier_color_for for damage-number coloring), refactor round_reset into start_round / advance_round / run_reset. Reading the current state once before editing:

51:HIT_SCORE   = 10        -- per non-killing hit
52:KILL_SCORE  = 50        -- bonus on top of HIT_SCORE for the killing hit
57:ROUND_DURATION        = 30      -- seconds per round
168:round_state       = 'playing'
169:round_timer       = ROUND_DURATION
170:score             = 0
171:kills             = 0
172:spawn_tick_timer  = 0
451:SCORE_TIER_WEIGHTS = { 30, 20, 15, 10, 5, 5 }
454:function roll_score()
455:  local tier = SCORE_TIERS[random_weighted(SCORE_TIER_WEIGHTS)]
806:function ideal_target_count()
827:function round_reset()

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now drop the unused SCORE_TIER_WEIGHTS + roll_score (keep SCORE_TIERS + tier_color_for since damage numbers still color by amount):

Read (E:/a327ex/emoji-aimer/main.lua)

443  end
444 
445 function damage_number:destroy() end
446 
447 -- Score tier ladder. Each hit picks a tier via random_weighted (engine helper,
448 -- returns a 1-based index into the weights array) and then samples uniformly
449 -- inside that tier's [lo, hi] range. The picked tier's color is what the
450 -- damage number is recolored to via recolor_shader. Weights sum to 85, so
451 -- common rolls ~30/85 ≈ 35%, red rolls ~5/85 ≈ 6%.
452 SCORE_TIERS = {
453   { lo =   1, hi =  10, color = gray   },
454   { lo =  11, hi =  25, color = green  },
455   { lo =  26, hi =  50, color = blue   },
456   { lo =  51, hi = 100, color = purple },
457   { lo = 101, hi = 200, color = orange },
458   { lo = 201, hi = 500, color = red    },
459 }
460 SCORE_TIER_WEIGHTS = { 30, 20, 15, 10, 5, 5 }
461 
462 -- Roll a tier by weight and sample a random value inside it.
463 function roll_score()
464   local tier = SCORE_TIERS[random_weighted(SCORE_TIER_WEIGHTS)]
465   return random_int(tier.lo, tier.hi)
466 end
467 
468 -- Look up the tier color for a given amount. Linear scan; tiers are ordered
469 -- ascending. Anything past the highest tier's hi falls into that tier's
470 -- color (so kill-bonus-shifted numbers above 500 still get red).
471 function tier_color_for(amount)
472   for _, tier in ipairs(SCORE_TIERS) do
... [5 more lines]

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now update target:hit to use round-specific scoring (kill REPLACES hit, not adds):

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now refactor round_reset into start_round / advance_round / run_reset, and update ideal_target_count to use the round-specific time:

Read (E:/a327ex/emoji-aimer/main.lua)

792        return true
793     end
794   end
795   return false
796 end
797 
798 -- Ideal alive count ramps from MIN at round start to MAX at round end. Naive
799 -- pacing — when alive_count < ideal, the spawn tick tries to spawn one. Final
800 -- pacing will probably be card-driven; this is just a placeholder.
801 function ideal_target_count()
802   local progress = 1 - (round_timer / ROUND_DURATION)   -- 0..1
803   progress = math.clamp(progress, 0, 1)
804   return math.floor(math.lerp(progress, TARGET_COUNT_MIN, TARGET_COUNT_MAX))
805 end
806 
807 -- Count live (non-dead) targets in the targets array. collection_update
808 -- compacts dead entries each frame, but mid-frame the array can hold _dead
809 -- entries that haven't been removed yet — filter explicitly.
810 function alive_target_count()
811   local n = 0
812   for _, t in ipairs(targets) do
813     if not t._dead then n = n + 1 end
814   end
815   return n
816 end
817 
818 -- End-of-round teardown + fresh start. Kills every live target and effect,
819 -- drains the destroy queue immediately so colliders/timers/springs are
820 -- finalized before we replace the arrays, then re-seeds the round. Use the
821 -- F3/F4 memory tracker to verify a restart returns deltas to zero.
... [8 more lines]

Read (E:/a327ex/emoji-aimer/main.lua)

827    effects = {}
828 
829   round_state      = 'playing'
830   round_timer      = ROUND_DURATION
831   score            = 0
832   kills            = 0
833   spawn_tick_timer = 0
834 
835   for i = 1, TARGETS_INITIAL do try_spawn_target() end
836 end
837 
838 -- -----------------------------------------------------------------------------
839 -- init
840 -- -----------------------------------------------------------------------------
841 mouse_set_visible(false)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now update update() for the new state machine + R restart, and draw() for HUD text + game over/won overlay:

Read (E:/a327ex/emoji-aimer/main.lua)

872      round_reset()
873   end
874 
875   -- Memory tracker controls — work in any state.
876   if input_pressed('toggle_mem')   then memory_tracker_toggle(mem_tracker) end
877   if input_pressed('baseline_mem') then memory_tracker_capture_baseline(mem_tracker) end
878 
879   the_cursor:update(dt)
880 
881   if round_state == 'playing' then
882     -- Tick the round timer; flip to 'ended' on expiry.
883     round_timer = round_timer - dt
884     if round_timer <= 0 then
885       round_timer = 0
886       round_state = 'ended'
887     end
888 
889     -- Density-based spawn tick. Every TARGET_SPAWN_TICK seconds, if alive
890     -- count is below the (time-ramped) ideal, try to place one more target.
891     spawn_tick_timer = spawn_tick_timer + dt
892     if spawn_tick_timer >= TARGET_SPAWN_TICK then
893       spawn_tick_timer = 0
894       if alive_target_count() < ideal_target_count() then
895         try_spawn_target()
896       end
897     end
898   end
899 
900   -- Click-to-hit runs in both 'playing' and 'ended' states. Without a visible
901   -- ROUND END indicator (deleted in the UI cleanup), gating clicks on round
... [40 more lines]

Read (E:/a327ex/emoji-aimer/main.lua)

864  -- main loop
865 -- -----------------------------------------------------------------------------
866 function update(dt)
867   sync_engine_globals()
868 
869   -- Restart key when a round has ended. Run before any other state updates
870   -- so the new round is fully initialized for the rest of this frame.
871   if round_state == 'ended' and input_pressed('restart') then
872     round_reset()
873   end
874 
875   -- Memory tracker controls — work in any state.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now the draw side — replace the placeholder HUD comment with the actual round/timer/score text and the won/lost overlay:

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Read (E:/a327ex/emoji-aimer/main.lua)

855  
856 -- -----------------------------------------------------------------------------
857 -- init
858 -- -----------------------------------------------------------------------------
859 mouse_set_visible(false)
860 the_cursor = cursor()
861 for i = 1, TARGETS_INITIAL do try_spawn_target() end
862 
863 -- -----------------------------------------------------------------------------
864 -- main loop
865 -- -----------------------------------------------------------------------------
866 function update(dt)

Init looks good — module-load state initializers (game_state = 'playing', round_index = 1, round_timer = ROUNDS[1].time, score = 0) plus the initial target spawn give a fresh round 1 without needing to call start_round(1).

Game loop is now fully wired. Recap:

Round config — ROUNDS = { {target=10, time=30, hit=1, kill=5}, {50, 30, 5, 10}, {250, 30, 10, 25}, {1000, 30, 20, 40} }. Kill score replaces hit score on the killing hit (total on a kill = kill_score, not hit_score + kill_score).

State — game_state ∈ {'playing', 'won', 'lost'}, round_index 1..4, score per-round (resets on advance). The old round_state is gone; the random tier picker (roll_score, SCORE_TIER_WEIGHTS) is gone. SCORE_TIERS + tier_color_for stay because damage numbers still color by amount.

Functions — start_round(idx) clears + reseeds + resets per-round state. advance_round() increments and either calls start_round or flips to 'won' if past the last round. run_reset() is the full restart from round 1, called on every R press.

Update loop —

R → run_reset() (works in any state)
Memory tracker keys
Cursor update
If playing and score >= round.target → advance_round()
If still playing: tick timer (→ 'lost' on expiry), spawn tick, click handler
Effects keep updating across state boundaries so animations finish cleanly

Draw HUD — top-left: ROUND N, TIME MM:SS, score / target on ui_content_layer in white (gets the outline halo). Win/loss overlay centered: YOU WON! / GAME OVER in fonts.mid + PRESS R FOR NEW RUN in fonts.main. Used font_get_text_width('mid', title) for proper centering.

Likely things to flag:

I used 'mid'/'main' (font names) when calling font_get_text_width, which is what its first-arg expects (it looks the registered font up by name). If that ever errors, the alternative is fonts.mid:text_width(title).
"Time" on the top-left at MM:SS is overkill since rounds are 30s — you'll only see seconds count down. Single-decimal string.format("%.1f", round_timer) would feel snappier; tell me if you want that.
All four rounds have time = 30, so the per-round time field is forward-compatible noise for now. I left it as a config field so we can vary later without touching code.

On score reach, instead of automatically going to the next round, a button appears saying end round which takes you there if you click it.

Adding a 'cleared' state between target-met and round-advance, with a button click required to advance. Plan:

New game_state == 'cleared': timer pauses, spawning + clicks keep working (player can keep grinding for fun), button is visible.
Score-met check now flips to 'cleared' instead of calling advance_round().
Clicking the button rectangle calls advance_round().
Other clicks still hit targets in both 'playing' and 'cleared'.

Adding constants + helper, then editing the state machine and draw.

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now the update loop — flip to 'cleared' instead of advancing, gate timer to 'playing', allow spawning+clicks in both 'playing' and 'cleared', route the button click:

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Now draw the button when cleared. Adding it right next to the win/loss overlay block:

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Done. New flow:

Score reaches target → game_state = 'cleared' (was: auto-advance)
In 'cleared': timer freezes, spawning continues, target clicks still work (free-grind for fun), an END ROUND button appears centered on screen
Click the button → advance_round() → next round (or 'won' after round 4)
Click anywhere else in 'cleared' → falls through to normal target hit-testing
Cursor hovers over button → background tints from fg (cream) → white (brighter) for visual feedback

Implementation notes:

Constants END_ROUND_BTN_W/H/X/Y = 96 × 22, centered near the top with the other geometry constants.
Helper end_round_button_contains(mx, my) for AABB hit-test.
Button background drawn on ui_panel_layer (gets the chunky outline shader pass), label drawn on ui_content_layer in black (cream/white background → black label is the readable choice; same shape as your reference UI mockups).
Hover read uses the_cursor.x/y rather than calling mouse_position() in draw — the_cursor.x/y is updated each frame in cursor:update from mouse_position(), so it's already in game coords.

Button should be on the bottom right and disappear when the new round starts.

Two fixes. Move the button bottom-right with 4px padding, and set game_state = 'playing' inside start_round — without that, advancing from 'cleared' to a new round leaves the state as 'cleared' and the button stays visible (run_reset already set it to 'playing' explicitly, so round 1 works, but rounds 2/3/4 don't).

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Edit (E:/a327ex/emoji-aimer/main.lua)

The file E:/a327ex/emoji-aimer/main.lua has been updated successfully. (file state is current in your context — no need to Read it back)

Bash ("E:/a327ex/Anchor/reference/love-compare/tools/lua54.exe" -e "loadfile('E:/a327e...)

OK

Button now sits at the bottom-right with 4px margins (x = gw - 4 - 96, y = gh - 4 - 22), and start_round resets game_state = 'playing' so advancing from 'cleared' correctly hides the button. run_reset setting game_state = 'playing' before calling start_round is now redundant but harmless — leaving it for explicitness.

Thank you, this is fine.

Sounds good — let me know what's next when you're ready.

Let's end this session, name it Emoji Aimer 1

Skill

Launching skill: end-session

Base directory for this skill: E:\a327ex.claude\skills\end-session

End Session Workflow

This skill is invoked from the same conversation where the work was done. You already have the full session context in memory — you do NOT need to read the transcript.

Step 1: Get Session Info

Ask the user for the session title (max 30 characters). Examples: "Anchor Phase 10 Part 5", "Physics Arena Setup", "Timer System Fix", "Thalien Lune Design".

Determine the project yourself from your session context — you know which repo(s) were worked on, which files were created/modified, and where they live. No need to ask. See Step 6 for the list of known project roots; if the session touched something outside the list, infer the root from the paths you actually edited.

Step 2: Write Summary

Write the summary from your conversation memory. You have the full session context — no need to read any files.

The summary should be thorough and detailed. Each major topic deserves its own section with multiple specific bullet points. Don't compress — expand.

Purpose: These summaries serve as searchable records. Future Claude instances will grep through past logs to find how specific topics were handled. The more detail you include, the more useful the summary becomes for finding relevant context later.

Format (this is just an example structure — adapt sections to match what actually happened):
# [Title]

## Summary

[1-2 sentence overview of the session's main focus]

**[Topic 1 - e.g., "Spring Module Implementation"]:**
- First specific detail about what was done
- Second detail - include file names, function names
- User correction or feedback (quote if notable)
- Technical decisions and why

**[Topic 2 - e.g., "Camera Research"]:**
- What was researched
- Key findings
- How it influenced implementation

**[Topic 3 - e.g., "Errors and Fixes"]:**
- Specific error message encountered
- Root cause identified
- How it was fixed

[Continue for each major topic...]

---

[Rest of transcript follows]
Rules: - Be thorough — If in doubt, include more detail, not less. Each topic should be as detailed as possible while still being a summary. - Think searchability — Future instances will search these logs. Include keywords, function names, error messages that someone might grep for. - One section per major topic — Don't combine unrelated work into one section - Chronological order — Sections should match conversation flow - Specific details — Error messages, file names, function names, parameter values - Include user quotes — When user gave notable feedback, quote it (e.g., "k/d variables are not intuitive at all") - Weight planning equally — Research, proposals, alternatives considered, user feedback on approach are as important as implementation - Weight problems solved — Errors, root causes, fixes, user corrections all matter - Technical specifics — Include formulas, API signatures, parameter changes when relevant

Step 3: Get User Approval

Show the title and summary to the user. Wait for approval before proceeding. If they have corrections, fix them.

Step 4: Convert Transcript and Write Log Files
# Find recent sessions (Claude + Cursor; see script). Same script lives in Anchor2:
python E:/a327ex/Anchor2/scripts/find-recent-session.py --limit 5
# or: python E:/a327ex/Anchor/scripts/find-recent-session.py --limit 5
The script shows sessions sorted by when they ended. The first result is the current conversation (since end-session was invoked here). Use it.

Use lowercase hyphenated slug derived from the title (e.g., "anchor-primitives-hitstop-animation").

Get the start timestamp for the Date frontmatter:
date "+%Y-%m-%d %H:%M:%S"
(If the session has been running for hours, prefer the time the user actually started it — visible in the JSONL — over the current wall clock. The Date should mark when the work happened, not when end-session ran.)

Convert the transcript to markdown ONCE, then write the same content to BOTH log destinations:
python E:/a327ex/Anchor2/scripts/jsonl-to-markdown.py [SESSION_PATH] /tmp/session-log.md
# or: python E:/a327ex/Anchor/scripts/jsonl-to-markdown.py ...
The same script auto-detects Claude Code JSONL vs Cursor/Composer agent JSONL (~/.cursor/projects/.../agent-transcripts/...). For Composer sessions, use find-recent-session.py (it merges both sources) and pick the [cursor] line for the current chat.

Replace the default header (# Session YYYY-MM-DD...) at the top of /tmp/session-log.md with the approved title and summary, AND prepend frontmatter. The final file shape:
Title: [Title]
Date: YYYY-MM-DD HH:MM:SS

# [Title]

## Summary

[approved summary text from step 2]

---

[transcript content from jsonl-to-markdown script]
Why frontmatter is required: the new site's sidebar reads Title: and Date: from frontmatter to display the entry. Logs without these get backfilled by a327ex-site/deploy/backfill_metadata.py, but enforcement at write time is cleaner. The old site (Blot) ignores extra frontmatter fields, so the same file works on both.

Then copy the final file to BOTH log destinations:
cp /tmp/session-log.md E:/a327ex/anchor.blot.im/logs/[slug].md
cp /tmp/session-log.md E:/a327ex/a327ex-site/logs/[slug].md
(Same content goes to both. The old and new sites render markdown differently — old site via Blot's processor, new site via discount + our extensions.lua directive expansion — but session transcripts are mostly text + code blocks + the occasional embed, all of which work identically in both. If the transcript happens to contain ::TYPE directives meant only for the new site, those render as literal text on the old site; rare enough to ignore.)

After cutover (Phase 8 in Anchor2/reference/blot_migration_plan.md), drop the anchor.blot.im copy.

Step 5: Sync Context Files (anchor.blot.im only)

Anchor exposes context docs in its public sidebar via /context/*. The new site's content.list_all() only walks posts/notes/logs/messages/pages, so context files aren't a concept there yet — skip the new-site copy.
cp E:/a327ex/.claude/CLAUDE.md E:/a327ex/anchor.blot.im/context/CLAUDE.md
cp E:/a327ex/Anchor/docs/* E:/a327ex/anchor.blot.im/context/
When the session was Anchor2 (optional):
cp E:/a327ex/Anchor2/.claude/CLAUDE.md E:/a327ex/anchor.blot.im/context/CLAUDE_ANCHOR2.md
Step 6: Commit Project Repo

Identify the project repo(s) worked on this session from your own context — you already know which repos were touched and which files changed. For the common projects, here are the canonical staging commands:

Project Root Stage command

Anchor E:/a327ex/Anchor git add docs/ framework/ engine/ scripts/ reference/

Anchor2 E:/a327ex/Anchor2 git add framework/ engine/ arena/ reference/ scripts/ docs/ .claude/

emoji-ball-battles E:/a327ex/emoji-ball-battles git add -A

orblike E:/a327ex/orblike git add -A

thalien-lune E:/a327ex/thalien-lune git add -A

a327ex-site E:/a327ex/a327ex-site git add -A (this is itself one of the web repos — treat the same way; the log file added in Step 4 will be staged here automatically)

For a project not listed, infer the root from the files you actually created or modified this session and stage those. If multiple candidate roots look valid, ask the user which files to stage.

cd into the project root, stage, run git status to verify before committing.

IMPORTANT — FULL SUMMARY IN COMMIT: The commit message MUST include the FULL summary from the log file. Read the summary back from the log file to ensure nothing is missing.

IMPORTANT — COMMIT METHOD: The summary contains backticks, special characters, and markdown that WILL break heredocs and git commit -m. ALWAYS use the file-based method below. NEVER try a heredoc first — it will fail and produce a malformed commit that needs amending.

Commit using a temporary file (extracts only the summary text, skipping frontmatter and the # Title / ## Summary headers, stopping at the --- separator before the transcript):
# Skip until we hit the line "## Summary", then take everything after the next
# blank line until the --- separator that precedes the transcript.
awk '/^## Summary$/{found=1; next} found && NR>1 && /^---$/{exit} found' \
    E:/a327ex/anchor.blot.im/logs/[slug].md > /tmp/commit_msg.txt

# Prepend the title (plain text, no #) and append attribution
sed -i "1i [Title]\n" /tmp/commit_msg.txt
printf "\nGenerated with [Claude Code](https://claude.com/claude-code)\n\nCo-Authored-By: Claude <noreply@anthropic.com>\n" >> /tmp/commit_msg.txt

git commit -F /tmp/commit_msg.txt
Step 7: Push All Repos

Three pushes — project (to GitHub), anchor.blot.im (to Blot), a327ex-site (to our VPS):
# Project repo to GitHub. Skip this push if the project IS a327ex-site
# (handled by the third push below — don't duplicate).
git push origin main

# anchor.blot.im (Blot's deploy is git-hosted; pushing to master triggers a live deploy ~30s later).
cd E:/a327ex/anchor.blot.im
git add -A
git commit -m "[Title]"
git push origin master 2>&1 | tail -3

# a327ex-site to our VPS (post-receive hook restarts the Lua server).
cd E:/a327ex/a327ex-site
git add -A
git commit -m "[Title]"
git push prod main 2>&1 | tail -3
Failure handling: if any one push fails, the others still happen. The local commits stay intact, so the user can re-push the failed one manually once they've fixed whatever blocked it. Don't roll back; the committed state on disk is the source of truth.

Step 8: Confirm

Tell the user: - Project commit hash + GitHub push result - anchor.blot.im commit hash + Blot push result - a327ex-site commit hash + VPS push result

Format:
Logged — "[Title]".
  project (Anchor2):  abc1234  pushed to GitHub
  anchor.blot.im:     def5678  pushed to Blot
  a327ex-site:        ghi9012  pushed to a327ex.com (post-receive deployed)
If any push failed, surface that explicitly with the error.

Notes

Same content, two destinations. Don't render the transcript twice — convert once, copy to both. Differences in markdown rendering between Blot and our discount-based renderer are usually invisible for transcript content (text + code fences + occasional iframes), but if the user's session content contains site-specific directives (::TYPE for the new site, embedded HTML for the old), accept that one side will show the literal source for those few lines. Not worth special-casing.

Frontmatter is non-negotiable. Every log file MUST have Title: and Date: at the top. Without them, the new site's sidebar shows the slug as the title and 0 (epoch) as the sort date. The backfill script in a327ex-site/deploy/backfill_metadata.py is a safety net, not a substitute.

After Phase 8 cutover (DNS swap from Blot to our VPS — see Anchor2/reference/blot_migration_plan.md), drop the anchor.blot.im copy + push. The user will say when. The /msg skill has the same cutover note.

If the project IS a327ex-site (e.g., you spent the session writing the renderer or fixing the theme), there's no separate "project repo to GitHub" push — the a327ex-site push at the end IS the project push. Don't duplicate.

ARGUMENTS: Emoji Aimer 1

Project	Root	Stage command
Anchor	`E:/a327ex/Anchor`	`git add docs/ framework/ engine/ scripts/ reference/`
Anchor2	`E:/a327ex/Anchor2`	`git add framework/ engine/ arena/ reference/ scripts/ docs/ .claude/`
emoji-ball-battles	`E:/a327ex/emoji-ball-battles`	`git add -A`
orblike	`E:/a327ex/orblike`	`git add -A`
thalien-lune	`E:/a327ex/thalien-lune`	`git add -A`
a327ex-site	`E:/a327ex/a327ex-site`	`git add -A` (this is itself one of the web repos — treat the same way; the log file added in Step 4 will be staged here automatically)

Drafting the summary first per the workflow. Title: Emoji Aimer 1. Please review:

Emoji Aimer 1

Summary

Game concept brainstorm:

Discussed emoji-based aim trainer with builds; user shared 4 reference screenshots from a Twitter-emoji prototype (bullseye targets, item shop, boss eye-creature)
Pivoted from "Brotato-with-emojis" (top-down shooter) to "Aim Lab + roguelite items" (cursor is the protagonist, no movement, pure aim)
Settled on "build = aim transformation" as the core thread (each item warps how aim feels — cursor magnetism, projectile inertia, multi-cursor, etc.)
DPS-game scoring: deal enough damage in a given time, target score scales with time
User said no choose-1-of-3 mechanic; alternatives discussed: open shop, slot loadout, achievement-gated unlocks
Future plan mentioned: Artifact-style draft phase, mana-cost cards each round, passives row

Project setup:

Created E:/a327ex/emoji-aimer/ with anchor framework copy, anchor.exe, assets/, run.bat
Downloaded 512×512 Twitter emoji PNGs from emojipedia (em-content.zobj.net/source/twitter/450/<slug>_<codepoint>.png pattern, requires referer header): direct-hit, collision, sparkles, backhand-index-pointing-up, hourglass-done, high-voltage, fire
Copied other assets from reference projects: star.png, hit1.png spritesheet (96×48 frames), LanaPixel.ttf, FatPixelFont.ttf, Awesome 9.ttf, digits 0.png–9.png, recolor.frag
Visual style ported from emoji-ball-bounce/reference/main.lua: 480×270 internal at scale 3, sky gradient bg, layer pipeline with shadow + outline shaders

Click-to-damage target with juice:

Single direct-hit emoji target at 3 HP, click-to-damage with t:contains(mx, my) radius check
Inlined ports of hit_circle, hit_particle, emoji_particle classes from emoji-ball-bounce reference, adapted to v2 patterns (make_entity + procedural timer/spring fields, no self:add(...))
Hit feedback: spring squash on 'hit' named spring, white flash for 80ms, hit_circle ring, 2 yellow hit_particles, 1 star emoji_particle, camera shake
Death feedback: bigger ring, 8–12 hit_particles in yellow + orange, 8–12 collision emoji_particles, 4–8 sparkle emoji_particles, bigger shake
Iterative tuning: removed sparkle/collision emojis, kept only stars, then later changed to direct_hit emoji particles for the spawn burst; made spring bouncier (frequency 5, bounce 0.75); made particles thicker via w=14, h=8
Mouse position fix: hit/death effects spawn from click position (mx, my) instead of target center

Cursor (juicy emoji cursor):

Found canonical cursor pattern at super-emoji-pop/main.lua:160-218
Ported to v2: cursor singleton class, two springs (r rotation, main scale), tracks last 10 mouse deltas in previous_mouse_deltas_x/y
Horizontal sway: when cursor stops after horizontal motion, pulls rotation spring by math.clamp(math.remap(abs(avg), 0, 20, 0, sign(avg)*π/4), -π/4, π/4)
Vertical squash: when cursor stops after vertical motion, snaps mouse_dt_sy to clamp(remap(abs(avg), 0, 12, 1, 0.5), 0.5, 1), tweens back to 1 over remap(abs(avg), 0, 12, 0.1, 0.2)
Click press: pulls 'main' spring 0.5, named tween 'click_scale' to (click_r=π/16, click_sx=0.9, click_sy=0.7) over 0.05s
Click release: pulls 'main' 0.25, named tween back to (0, 1, 1) over 0.1s
Backhand-index-pointing-up emoji at scale 22/512, drawn with (+7, +9) offset and -π/8 base rotation so fingertip lands at cursor x,y
mouse_set_visible(false) hides the system cursor

hit_effect (animated impact burst):

Found pattern at super emoji pop/main.lua:411-423, uses 'hit1' spritesheet animation
Ported as new class: animation_new('hit1', 0.03, 'once'), kills self when animation.dead = true, drawn at random rotation with 1.35× base scale + per-instance args.s multiplier
target:hit spawns s=1, target:die spawns s=1.6
Kept old hit_circle class as the user explicitly said "you don't have to delete it"

UI mockup HTML:

User shared 6 ChatGPT-generated UI kit images (ui_kit_1..7, with 6 missing) at reference/ui_kit_*.png
Wrote comprehensive reference/ui_mockup.html: canonical palette (every named color from main.lua with hex), panels with chunky outlines + drop shadow, buttons (default/primary/success/warning/danger × default/hover/active/disabled), badges + rarity chips, counters, score displays with deltas, continuous + segmented progress bars, inventory slots with rarity-tinted insets, tooltips, sample HUD layout
Expanded main.lua palette to include all canonical colors from emoji-ball-bounce reference: gray, bg_color, fg_dark, blue, green, purple, brown, plus new pink = color(244, 154, 194) from the kit
State derivations documented: hover = color_mix(base, white, 0.15), active = color_mix(base, black, 0.15)

Round loop scaffold:

Round state machine, density-based target spawning, ROUND END display, R restart, F3/F4 memory tracker (using Orblike's memory_tracker_new() / memory_tracker_update / memory_tracker_draw pattern)
try_spawn_target() picks random arena positions with TARGET_MIN_SPAWN_DIST = TARGET_RADIUS*4 exclusion check, 20 attempts then bails
ideal_target_count() lerps TARGET_COUNT_MIN=6 → TARGET_COUNT_MAX=12 over the round duration
round_reset() kills all live targets+effects, drains destroy queue immediately, resets state, re-seeds — for clean leak verification

Bugs investigated:

Text dark: diagnosed cause as outline shader producing vec4(0,0,0,a) — drawing text in black on an outline-shaded layer produced black-on-black mush. The 5×5 neighbor sample doesn't actually destroy thin pixel-font glyphs; the issue was color choice. Initial fix: separate hud_layer for non-outlined text. Final fix: draw text in white so the shader's black halo reads as a black outline around white interior
Game goes dark over time: investigated layer_render, layer_clear, layer_draw_from, swap-chain logic — found rendering pipeline clean. User reported it self-resolved
Diagnostic process documented for future reference (the "thin glyphs eaten by outline shader" intuition was wrong, color choice was the actual variable)

UI layer architecture refactor:

Replaced single hud_layer with two outlined UI layers per user's directive ("you should have 2 layers, ui and ui_2... both should have the same outline shader")
Final layer set: bg_layer, game_layer (+outline), effects_layer (+outline), ui_panel_layer (structural fills, +outline), ui_content_layer (text + icons in white, +outline), overlay_layer (non-outlined fullscreen dim), cursor_layer (+outline), debug_layer
Composite order: bg → shadow → game outline+game → effects outline+effects → ui_panel outline+ui_panel → ui_content outline+ui_content → overlay → cursor outline+cursor → debug
Two-layer split (panel vs content) prevents outline silhouettes from merging — each element gets its own black halo

Fonts:

fonts.main — LanaPixel @ 11 (body)
fonts.big — FatPixelFont @ 8 (chunky display, copied from emoji-ball-battles)
fonts.mid — Awesome 9 @ 16 (mid headers, copied from Orblike)
fonts.debug — LanaPixel @ 11 (mem tracker)
All text drawn in white now; shader provides black halo

First UI pass (later removed):

Built draw_panel, draw_hud_chip, draw_mana_panel, draw_passives_panel, draw_hand_card, draw_hand helpers
Top-left HUD chips (timer + score), top-right mana pip bar + passives row, bottom-center 5-card hand
User then said: "Keep the UI layers, fonts, etc. Remove all UI code you added otherwise. We'll do it all again tomorrow one element at a time."
Reverted: removed all UI helpers, stub state, constants, draws — kept layers/fonts/icon assets/render pipeline

Target spawn animation:

Tween size 0 → 1 over 0.15s with math.cubic_in_out (named 'spawn' tween)
Flash white during the tween
On apex: spring pull ('hit', 0.6, 5, 0.75) for bouncy pop
3 direct_hit emoji particles burst out (velocity 120-240, scale 0.7-1.0, gravity 0, flash_on_spawn 0.3)
target:contains returns false while spawn_scale < 0.5 so player can't accidentally kill an emerging target

Click ungating bug fix:

User reported "new targets can't be killed after a while"
Diagnosed: if round_state == 'playing' wrapper around click handler. Round timer expired at 30s → round_state = 'ended' → clicks gated → looked like a bug since no UI showed round end
Fix: moved click handler outside the gate. Spawning + timer still gated to 'playing', click damage always works
Also flagged: default_kill sets _dying=true, not _dead; _dead only set by process_destroy_queue. Click filter not t._dead lets just-killed targets be re-clicked in the same frame, but kill() early-exits via if self._dying then return end so it's harmless

HP bar:

Direct port of emoji-ball-battles/main.lua:2931 hp_bar class, inlined into target as compositional fields
22w × 4h rounded rect, black bg + red fill, drawn at target.y + 18 on game_layer (camera-attached so it jitters with target, outlined separately from target since 18px gap exceeds outline expansion)
Activation in target:hit: flips hp_visible=true, pulls new 'hp' spring (force 0.5, freq 3, bounce 0.5), 0.15s 'hp_flash' named timer
Originally had 2s 'hp_hide' auto-hide timer (matching reference); user requested HP bar stay visible permanently after first hit, so dropped the hide timer

Damage numbers (per-digit keycap):

Direct port of emoji-ball-battles/main.lua:4322 damage_number class
Copied digit assets 0.png–9.png (gray rounded keycaps with white digits, 512×512 each), loaded into digit_imgs[tostring(0..9)]
Per-digit state for wobble + bob: rotation, angular_speed = random_float(-π/4, π/4), offset_y = 2*math.sin(time + i*0.3) (less spread than reference's 4*sin(t + i) for visual cohesion)
Holds at full scale for 25% × duration_multiplier, then shrinks to 0 over remaining 75% via cubic_in_out
Tuned: vy = -80 (rises quickly), duration_multiplier = 0.5 (despawn fast)
Spring pull ('main', 0.5, 3, 0.7) at construction for spawn pop

Recolor shader for damage numbers:

Found recolor.frag in emoji-ball-battles assets — maps gray keycap (luminance 0.471) → target color, white digit stays white
Copied to emoji-aimer/assets/, loaded as recolor_shader
Added intermediate digit_layer for per-rarity bucketed recolor passes
Each frame: bucket damage_numbers by rarity_color field, for each bucket queue digits to digit_layer, render, set u_target_color uniform via shader_set_vec4_immediate, layer_draw_from(effects_layer, digit_layer, recolor_shader)
Done before effects_outline derivation so colored numbers get the chunky outline

Score tier system iterations:

First attempt: random_int(0, 1000) uniform — too uniform
Second attempt: r^4 curve toward low end (~56% in 1-100 range)
Final spec from user: 6 tiers via random_weighted({30, 20, 15, 10, 5, 5}) (engine helper at anchor.c:7851)
Tiers: 1-10/gray, 11-25/green, 26-50/blue, 51-100/purple, 101-200/orange, 201-500/red
User noted "51 is coming out as grey" — diagnosed kill-bonus mismatch (gray-tier roll 1 + KILL_SCORE 50 = 51 displayed but color stayed gray). Fixed by re-deriving color from final amount via tier_color_for(amount) after bonus added
Common tier was originally white, but recolor shader maps gray bg → white = invisible digit; swapped to gray per ARPG convention

Final game loop — 4-round structure:

ROUNDS = { {target=10, time=30, hit_score=1, kill_score=5}, {50, 30, 5, 10}, {250, 30, 10, 25}, {1000, 30, 20, 40} }
Kill score replaces hit score on killing hit (total on kill = kill_score, not hit_score+kill_score per user's spec)
game_state ∈ {'playing', 'cleared', 'won', 'lost'}, round_index, per-round score resets on advance
Refactored round_reset → start_round(idx) + advance_round() + run_reset()
start_round clears targets/effects, resets per-round state, sets game_state = 'playing' (crucial for advance from 'cleared')
advance_round increments index, calls start_round, or flips to 'won' if past last round
Timer ticks only in 'playing'; expiry → 'lost'
HUD text on ui_content_layer in white: ROUND N, TIME MM:SS, score / target
Win/loss overlay centered: YOU WON! or GAME OVER in fonts.mid, PRESS R FOR NEW RUN hint in fonts.main
R restarts run from any state via run_reset()

END ROUND button (final loop refinement):

User wanted manual round advance instead of auto-advance on score met
Added 'cleared' state between target met and round advance
Score-met check flips 'playing' → 'cleared' (was: advance_round() directly)
In 'cleared': timer freezes, spawning continues, target clicks still work (free-grind), button visible
Button: 96×22 panel at bottom-right with 4px padding (x = gw - 4 - 96, y = gh - 4 - 22)
Hover detection via the_cursor.x/y (set in update each frame from mouse_position())
Background tints fg → white on hover for feedback
end_round_button_contains(mx, my) AABB hit-test
Click on button consumes the click; clicks elsewhere fall through to target hit-testing
start_round sets game_state = 'playing' to ensure button hides on round advance

OK to commit and push? Anything missing or wrong?

Yes.

Bash (python E:/a327ex/Anchor2/scripts/find-recent-session.py --limit 5)

2026-05-07T13:15:30.009Z c13fb930-2c52-4a9f-aa4c-96769ab71997 [claude] <-- MOST RECENT
   C:\Users\adn\.claude\projects\E--a327ex\c13fb930-2c52-4a9f-aa4c-96769ab71997.jsonl

2026-05-07T13:15:20.192Z 56d9a4db-e3c5-4e1b-9616-102eb824cf3b [claude]
   C:\Users\adn\.claude\projects\E--a327ex\56d9a4db-e3c5-4e1b-9616-102eb824cf3b.jsonl

2026-05-07T12:39:03.966Z 624cf1f9-2030-4061-bfe7-774b79836aa4 [claude]
   C:\Users\adn\.claude\projects\E--a327ex\624cf1f9-2030-4061-bfe7-774b79836aa4.jsonl

2026-05-07T10:18:45.922Z d2e2f138-fd0c-437d-bbe5-8e258b35f016 [claude]
   C:\Users\adn\.claude\projects\E--a327ex\d2e2f138-fd0c-437d-bbe5-8e258b35f016.jsonl

2026-05-07T09:56:06.892Z 4da520b6-1a2a-439f-97f7-09be31887226 [claude]
   C:\Users\adn\.claude\projects\E--a327ex\4da520b6-1a2a-439f-97f7-09be31887226.jsonl

Bash (date "+%Y-%m-%d %H:%M:%S")

2026-05-07 10:15:41