Add the Lite-Enhanced (Tier 3) sprite atlas to a Codogotchi pet that already has BOTH Codex and Lite-Basic sheets. Produces 8 polish rows (idle-impatient, idle-frustrated, cramming, editing, git-ops, verifying, searching, web-search). Requires the Lite-Basic sheet first. Use when extending an existing lite pet with richer heuristic and idle-mood animations.
설치
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Add the Lite-Enhanced (Tier 3) sprite atlas to a Codogotchi pet that already has BOTH Codex and Lite-Basic sheets. Produces 8 polish rows (idle-impatient, idle-frustrated, cramming, editing, git-ops, verifying, searching, web-search). Requires the Lite-Basic sheet first. Use when extending an existing lite pet with richer heuristic and idle-mood animations.
Paths in this skill — scripts/…, references/…, and README.md below are relative to this plugin's root (hatch-codogotchi/, two directories up from this file). cd to the plugin root before running the commands, or prefix each path with it.
I/O policy — scripts own all paths; the skill names none.image_gen cannot reliably store or re-find what it generates, so never tell it to save a row to a named directory and never hunt for an image-generation save folder. Pass whatever local/temp paths the caller picks into the script arguments and chain each script's output forward; the only artifact that must persist is the final magenta atlas the user keys and installs.
No model-side visual inspection. Do not use Computer Use, screenshots, or UI automation to eyeball generated output — the model cannot reliably see its own framing and it burns tokens. Frame geometry is enforced deterministically by slice_grid.py; visual review is the human's, on the script-produced contact sheet and previews.
hatch-codogotchi-lite-enhanced
Add the Lite-Enhanced sheet (Tier 3) to a pet — the 8-row polish extension that layers heuristic states + idle-mood escalation on top of Lite-Basic.
A valid Lite-Basic sheet for the same pet — codogotchi-lite-basic-spritesheet.webp. Enhanced is an additive extension: the app resolves Enhanced → Basic → Codex, so Enhanced without Basic is invalid. Generate Basic first via SKILL-lite-basic.md (or SKILL-codex-and-lite-*).
The Lite-Basic sheet is also used as an extra style reference alongside the seed, so Enhanced matches Basic exactly.
Execution model (slot-first): Codex uses its built-in image_gen tool to generate one full Lite-Enhanced row per call as 8 invisible equal-size slots, 4 across and 2 down (read left-to-right, top row then bottom), all 8 filled, on the single flat chroma key chosen for this pet (see below). The slots are an invisible placement grid — the prompt says "slots," never "grid/cells," so the model paints one continuous flat field, not 8 separate cards. prepare_pet_run.py also emits a layout-guide.png (4×2 placeholder with slot boundaries, blue safe-margins, centering crosshairs); attach it (and the seed) to every image_gen call as reference-only — it keeps frames from clipping. image_gen need not hit an exact canvas size. Then run slice_grid.py (dimension-tolerant): it slices by fraction, shares one scale across all 8 frames, and emits the exact canonical 1536×208 row strip. Generate one row at a time; never ask for the whole atlas in a single image.
Non-negotiable row gate: finish one row completely (generate grid → slice_grid.py) before generating the next. If a grid comes back clipped, cramped, or off-model, regenerate the whole grid instead of patching forward. Do not compose until every row strip exists. The model does not screenshot or eyeball its own output — slice_grid.py enforces geometry, and prop clarity / face / scale / motion are reviewed by the human on the script-produced contact sheet after composing.
Chroma key — one auto-selected key for the whole pet, keyed by the user later. The chroma is fixed for the pet by prepare_pet_run.py (auto-selected from the seed — magenta #FF00FF, blue #0047BB, or green #00B140 — magenta fallback) and must match the pet's existing sheets; pass --chroma to match if needed. Reserved accents recolor automatically to avoid the key: verifying's success ✓ stamp defaults to green but flips to blue under a green key, so it is always preserved, never keyed out. This plugin does not key the sheet — the user keys it later in Codogotchi Studio (https://codogotchi.app/studio), whose tolerance/hue controls separate the art from the key reliably.
Recommended production pattern: generate the minimum number of distinct keyframes needed for a readable, non-static row, then reuse or mirror earlier stable frames to close the loop when that still feels polished. Many Enhanced rows can be produced faster with ~4 strong keyframes plus a mirrored/reused closure instead of 8 fully independent generations. This is guidance, not dogma.
Read first — the doctrines (full text in README.md + references/animation-rows-lite.md)
0. Motion restraint — stability over expressiveness (paramount). A calm pet with small, smooth motion always beats an expressive one that jitters; when they conflict, choose stability. Big or whole-body described motion comes back incoherent across the row — legs swing, props teleport, the pet hops. Anchor the torso, head, hips, and both feet in nearly the same place across all 8 frames (legs don't walk or swing in standing rows); confine motion to one element — the named prop, one arm, or the expression — at low amplitude with short, smooth arcs. "No static rows" is a floor (subtle smooth life so frames differ), not a push toward big motion: a barely-moving stable row passes; a busy jittery row is a reject.
Prop doctrine — NOT charades. Every Enhanced state is prop-led — one clearly-visible prop, the same object in all 8 frames, never an A/B choice:
Scale consistency. Same character size across all 8 cells of a row. Ask image_gen for a shared head height / body scale across the grid; slice_grid.py shares one scale across the row, and any residual drift is caught by the human on the contact sheet. If one cell is off, regenerate the whole grid.
Visual identity checklist. Every frame must preserve the same age/proportions, hair silhouette, dress/outfit, sandals/accessories, palette, and linework as the seed artifact and the Basic sheet. This is an eyeball pass on the contact sheet — there is no automated identity gate.
Alignment stability. Keep the character on a stable horizontal axis in every 192×208 frame; the pet must not hop left/right. Vertically align ordinary standing rows to a shared bottom baseline near cell_h - 8, not the vertical center. Confirm on the contact sheet / previews.
Plus: don't fake frames; grid-first, one row at a time; never whole-atlas generation; keep the magenta background flat; match the Basic + Codex style exactly.
Quality caveats for the recommended pattern:
Enhanced rows often carry more nuanced motion, so be quicker to add extra distinct frames if mirrored/reused closure feels stiff.
Do not trade away prop clarity, row distinctness, or polish just to reduce generation count.
Script validation plus human visual review can still reject a mirrored/reused closure if it reads as cheap or obviously repetitive.
Workflow
# 1. Extract the seed (or reuse the one from the Basic run)
python scripts/extract_seed_from_codex.py \
--spritesheet "${CODOGOTCHI_HOME:-$HOME/.codogotchi}/pets/<pet-id>/spritesheet.webp" \
--out <seed>
# 2. Prepare the Lite-Enhanced run
python scripts/prepare_pet_run.py --seed <seed> \
--pet-name "<display name>" --pet-id "<pet-id>" --tier lite-enhanced --style auto
# 3. For each of the 8 rows, in order, use built-in image_gen grid-first:# generate ONE 4x2 grid (4 cols x 2 rows of 192x208 cells, 8 populated, no empty# cell) on flat #FF00FF. image_gen need not hit an exact size. `verifying` (green ✓)# and `web-search` (green globe) keep their green props on the magenta key — preserved and keyed# later by the user. Attach BOTH the seed artifact AND the finished# codogotchi-lite-basic-spritesheet.webp. Then slice the grid into the canonical# 1536x208 row strip (paths are caller-chosen/ephemeral):
python scripts/slice_grid.py --input <grid> --out <row-strip>
# slice_grid.py enforces geometry; if the grid is clipped/off-model, regenerate it.# 4. Compose + encode (after all 8 rows) → magenta-background atlas
python scripts/compose_atlas.py --rows-dir <row-strips-dir> --tier lite-enhanced --out <atlas-png>
cwebp -lossless -exact <atlas-png> -o <atlas-webp>
# 5. Slim QA gate
python scripts/validate_atlas.py --atlas <atlas-webp> --tier lite-enhanced --out-json <validation-json>
python scripts/make_contact_sheet.py --atlas <atlas-webp> --tier lite-enhanced
python scripts/render_animation_previews.py --atlas <atlas-webp> --tier lite-enhanced
python scripts/pre_install_qa_gate.py --atlas <atlas-webp> --tier lite-enhanced
Final step — keying is the user's. The composed *.webp still has its flat magenta background. Do not install it. Direct the user to https://codogotchi.app/studio to key it (load → tune knobs → export transparent sheet), then install the keyed codogotchi-lite-enhanced-spritesheet.webp (do NOT overwrite spritesheet.webp, the Basic sheet, or pet.json) and quit-reopen Codogotchi.
Row order (see references/animation-rows-lite.md):
idle-impatient, idle-frustrated, cramming, editing, git-ops, verifying, searching, web-search
Fix a bad frame
If any frame in a grid is wrong, regenerate the whole grid for that row, re-run slice_grid.py, and re-run the QA scripts. Fix by regenerating the grid, never by editing individual frames.
Acceptance criteria
codogotchi-lite-basic-spritesheet.webp already exists for this pet (prerequisite)
Flat #FF00FF background, perfectly uniform across the atlas (no falloff/shadow/texture)
Character/content horizontal center is stable across the row; ordinary standing rows share a bottom foot baseline near cell_h - 8 (eyeballed)
Stable motion (paramount): body/feet anchored, one element moves at low amplitude, no jitter/hopping/limb-swing
No static rows (gated by validate_atlas.py); each row has subtle distinct motion; loop closes
Each row shows its single named prop clearly in all 8 frames, distinct from the Basic props
Character size consistent across all 8 frames of every row (eyeballed)
Per-frame visual QA passed: same age/proportions, hair silhouette, dress/outfit, sandals/accessories, palette, and linework as the seed artifact and the Basic sheet
Style/palette/proportions match the Basic + Codex sheets
validate-lite-enhanced.json, contact-lite-enhanced.png, and previews-lite-enhanced/ exist and are newer than the final atlas
pre_install_qa_gate.py passed; user directed to https://codogotchi.app/studio to key the magenta atlas before install
spritesheet.webp, the Basic sheet, and pet.json unchanged
Final response checklist
Before saying done, report: rows generated or regenerated; validation command/result; contact sheet and preview directory paths; known compromises. State clearly that the delivered atlas is magenta-background (pre-key) and the user must key it at https://codogotchi.app/studio before installing. If the tier was completed unusually quickly, state what was compressed, reused, or skipped. Validation alone is not QA.
