Hatch Pet

Hatch Pet

OpenDesign integration. This is the unmodified Codex hatch-pet skill, vendored under skills/hatch-pet/ so any OpenDesign agent can run it. After the skill finishes packaging, the resulting spritesheet.webp (under ${CODEX_HOME:-$HOME/.codex}/pets/<pet-name>/) can be imported into the floating pet companion via Settings → General → Pets → Import Codex sprite. The import flow auto-detects the 8×9 / 192×208 atlas and lets the user pick which animation row to play (idle, running-right, waving, …).

Overview

Create a Codex-compatible animated pet from a concept, one or more reference images, or both. This skill owns pet-specific prompt planning, animation rows, frame extraction, atlas geometry, QA, previews, and packaging. It delegates visual generation to $imagegen.

User-facing inputs are optional. If the user omits a pet name, infer one from the concept or reference filenames; if that is not possible, choose a short appropriate name. If the user omits a description, infer one from the concept or references. If the user omits reference images, generate the base pet from text first, then use that base as the canonical reference for every animation row.

Generation Delegation

Use $imagegen for all normal visual generation.

Before generating base art, row strips, or repair rows, load and follow the installed image generation skill:

${CODEX_HOME:-$HOME/.codex}/skills/.system/imagegen/SKILL.md

Do not call the Image API directly for the normal path. Let $imagegen choose its own built-in-first path and its own CLI fallback rules. If $imagegen says a fallback requires confirmation, ask the user before continuing.

When invoking $imagegen from this skill, pass the generated pet prompt as the authoritative visual spec. Do not wrap it in the generic $imagegen shared prompt schema and do not add extra polish, hero-art, photo, product, or illustration-style augmentation. Pet prompts should stay terse, sprite-specific, and digital-pet oriented; only add role labels for input images and any essential user constraint.

Use this skill's scripts for deterministic work only: preparing prompts and manifests, ingesting selected $imagegen outputs, extracting frames, validating rows, composing the final atlas, creating QA media, and packaging.

Hard boundary: do not create, draw, tile, warp, mirror, or synthesize pet visuals with local Python/Pillow scripts, SVG, canvas, HTML/CSS, or other code-native art as a substitute for $imagegen. For a normal pet run, expect up to 10 visual generation jobs: 1 base pet plus 9 row-strip jobs. The only exception is running-left, which may be derived by mirroring running-right only after running-right has been generated, visually inspected, and explicitly approved as safe to mirror. If mirroring is not appropriate, generate running-left as a normal grounded $imagegen row. If those calls are too expensive, blocked, or unavailable, stop and explain the blocker instead of fabricating row strips locally.

Do not mark visual jobs complete by editing imagegen-jobs.json, copying files into decoded/, or writing helper scripts that populate row outputs. Use record_imagegen_result.py for selected built-in $imagegen outputs, or generate_pet_images.py only for the documented secondary fallback. The deterministic scripts may only process already-generated visual outputs.

Only the base job may be prompt-only. Every row-strip job generated through $imagegen must use the input images listed in imagegen-jobs.json, including the canonical base reference created after the base job is recorded. Treat any row generation without attached grounding images as invalid.

Codex Digital Pet Style

Default pet art should match the Codex app's built-in digital pets: small pixel-art-adjacent mascots with compact chibi proportions, chunky readable silhouettes, thick dark 1-2 px outlines, visible stepped/pixel edges, limited palettes, flat cel shading, simple expressive faces, and tiny limbs. Even if the reference art is more detailed, complex or realistic, the generated pet should be simplified into this style.

Do NOT generate polished illustration, painterly rendering, anime key art, 3D rendering, glossy app-icon treatment, realistic fur or material texture, soft gradients, high-detail antialiasing, and complex tiny accessories. References that are more detailed than this should be simplified into the house style before row generation.

Transparency And Effects

Pet rows are processed into transparent 192x208 cells, so every generated pixel must either belong to the pet sprite or be cleanly removable chroma-key background. Prefer pose, expression, and silhouette changes over decorative effects.

Allowed effects must satisfy all of these conditions:

• The effect is state-relevant and helps explain the animation.
• The effect is physically attached to, touching, or overlapping the pet silhouette, not floating nearby.
• The effect is inside the same frame slot as the pet and does not create a separate sprite component.
• The effect is opaque, hard-edged, pixel-style, and uses non-chroma-key colors.
• The effect is small enough to remain readable at 192x208 without clutter.

Examples of allowed effects: a tear touching the face, a small smoke puff touching the box or head, or tiny stars overlapping the pet during a failed/dizzy reaction.

Avoid these by default because they usually break transparent-background cleanup or component extraction:

• wave marks, motion arcs, speed lines, action streaks, afterimages, blur, or smears
• detached stars, loose sparkles, floating punctuation, floating icons, falling tear drops, separated smoke clouds, or loose dust
• cast shadows, contact shadows, drop shadows, oval floor shadows, floor patches, landing marks, impact bursts, glow, halo, aura, or soft transparent effects
• text, labels, frame numbers, visible grids, guide marks, speech bubbles, thought bubbles, UI panels, code snippets, checkerboard transparency, white backgrounds, black backgrounds, or scenery
• chroma-key-adjacent colors in the pet, prop, effects, highlights, or shadows
• stray pixels, disconnected outline bits, speckle/noise, cropped body parts, overlapping poses, or any pose that crosses into a neighboring frame slot

State-specific guidance:

• waving: show the wave through paw pose only. Do not draw wave marks, motion arcs, lines, sparkles, or symbols around the paw.
• jumping: show vertical motion through body position only. Do not draw shadows, dust, landing marks, impact bursts, bounce pads, or floor cues.
• failed: tears, attached smoke puffs, or attached stars are allowed if they obey the allowed-effects rules; do not use red X marks, floating symbols, detached smoke, detached stars, or separate tear droplets.
• review: show focus through lean, blink, eyes, head tilt, or paw position. Do not add magnifying glasses, papers, code, UI, punctuation, or symbols unless that prop already exists in the base pet identity.
• running-right, running-left, and running: show locomotion through body, limb, and prop movement only. Do not draw speed lines, dust clouds, floor shadows, or motion trails.

Pet Naming

Ask the user for a pet name when they have not provided one and only if the conversation naturally allows it. If asking would slow down a direct execution request, choose a short appropriate name from the pet concept, reference image, or personality, then use that name consistently as the display name and as the source for the package folder slug.

Good built-in style examples:

• Codex - The original Codex companion.
• Dewey - A tidy duck for calm workspace days.
• Fireball - Hot path energy for fast iteration.
• Rocky - A steady rock when the diff gets large.
• Seedy - Small green shoots for new ideas.
• Stacky - A balanced stack for deep work.
• BSOD - A tiny blue-screen gremlin.
• Null Signal - Quiet signal from the void.

Visible Progress Plan

For every pet run, keep a visible checklist so the user can see where the work is up to. Create the checklist before starting, keep one step active at a time, and update it as each step finishes.

Before creating the checklist, establish the pet name when possible. Use the user-provided name when available; otherwise infer a short appropriate name from the concept or references. If the name is too long, not settled, or not appropriate for a friendly checklist, use your pet instead.

Use this checklist for a normal pet run, replacing <Pet> with the pet's name or your pet:

1. Getting <Pet> ready.
2. Imagining <Pet>'s main look.
3. Picturing <Pet>'s poses.
4. Hatching <Pet>.

What each step means:

• Getting <Pet> ready. Choose or confirm the pet name, description, source images, and working folder.
• Imagining <Pet>'s main look. Generate the pet's main reference image. This is required for new pets, even when the user does not provide an image, because it becomes the visual source of truth.
• Picturing <Pet>'s poses. Create the pose rows, starting with idle and running-right to confirm the pet still looks consistent. Only mirror running-left if running-right clearly works when flipped.
• Hatching <Pet>. Turn the approved poses into the final pet files, review the contact sheet, previews, and validation results, fix any broken parts, save pet.json and spritesheet.webp into the pet folder, then tell the user where the pet and QA files were saved.

Only mark a step complete when the real file, image, or decision exists. If this is just a repair run, start from the first relevant step instead of restarting the whole checklist.

Default Workflow

1. Prepare a pet run folder and imagegen job manifest:

SKILL_DIR="${CODEX_HOME:-$HOME/.codex}/skills/hatch-pet"
python "$SKILL_DIR/scripts/prepare_pet_run.py" \
  --pet-name "<Name>" \
  --description "<one sentence>" \
  --reference /absolute/path/to/reference.png \
  --output-dir /absolute/path/to/run \
  --pet-notes "<stable pet description>" \
  --style-notes "<style notes>" \
  --force

All arguments above are optional except any flags needed to express user constraints. For text-only requests, pass the concept through --pet-notes and omit --reference; prepare_pet_run.py will infer a name, description, chroma key, and output directory as needed.

2. Inspect the next ready $imagegen jobs:

python "$SKILL_DIR/scripts/pet_job_status.py" --run-dir /absolute/path/to/run

3. For each ready job, invoke $imagegen with:

• the prompt file listed in imagegen-jobs.json
• every input image listed for the job, with its role label
• the default built-in image_gen path unless $imagegen itself routes otherwise

The base job must complete first. If user references exist, the base job uses them. If no references exist, the base job may be prompt-only. After recording the base, record_imagegen_result.py writes decoded/base.png and references/canonical-base.png; all row jobs use the original references if present plus those canonical base images.

prepare_pet_run.py also creates 9 row-specific layout guide images under references/layout-guides/, one per animation state. Row jobs attach the matching guide as a layout-only input so the model can follow the correct frame count, spacing, centering, and safe padding. Treat these guides as invisible construction references: the generated row strip must not include visible boxes, borders, center marks, labels, guide colors, or the guide background.

When generating row strips, keep the identity lock in the row prompt authoritative: do not redesign the pet, and preserve the same head shape, face, markings, palette, prop, outline weight, body proportions, and silhouette. A row that looks like a related but different pet is failed even if the deterministic geometry QA passes.

Generate and record running-right before deciding how to complete running-left. Inspect running-right against the base and references. If the pet is visually symmetric enough that a horizontal mirror preserves identity, prop placement, handedness, markings, lighting, text-free details, and direction semantics, derive running-left with:

python "$SKILL_DIR/scripts/derive_running_left_from_running_right.py" \
  --run-dir /absolute/path/to/run \
  --confirm-appropriate-mirror \
  --decision-note "<why mirroring preserves this pet's identity>"

If there is any asymmetric side-specific marking, readable text, non-mirrored logo, handed prop, one-sided accessory, lighting cue, or direction-specific pose that would become wrong when flipped, do not mirror. Generate running-left with $imagegen using its row prompt and all listed grounding images, including decoded/running-right.png as a gait reference.

For the built-in path, record the selected source image from $CODEX_HOME/generated_images/.../ig_*.png. Do not record files from the run directory, tmp/, hand-made fixtures, deterministic row folders, or post-processed copies as visual job sources.

4. After selecting a generated output for a job, ingest it:

python "$SKILL_DIR/scripts/record_imagegen_result.py" \
  --run-dir /absolute/path/to/run \
  --job-id <job-id> \
  --source /absolute/path/to/generated-output.png

This copies the image to the exact decoded path expected by the deterministic pipeline and records source metadata in imagegen-jobs.json.

5. When all jobs are complete, finalize:

python "$SKILL_DIR/scripts/finalize_pet_run.py" \
  --run-dir /absolute/path/to/run

Expected output:

run/
  pet_request.json
  imagegen-jobs.json
  prompts/
  decoded/
  frames/frames-manifest.json
  final/spritesheet.png
  final/spritesheet.webp
  final/validation.json
  qa/contact-sheet.png
  qa/review.json
  qa/run-summary.json
  qa/videos/*.mp4

Package output is written outside the run directory by default. If CODEX_HOME is set, use it; otherwise use $HOME/.codex.

${CODEX_HOME:-$HOME/.codex}/pets/<pet-name>/
  pet.json
  spritesheet.webp

Review qa/contact-sheet.png, qa/review.json, final/validation.json, and qa/videos/ before accepting the pet.

Deterministic validation is necessary but not sufficient. Before calling the pet done, visually inspect the contact sheet for identity consistency. Block acceptance if any row changes species/body type, face, markings, palette, prop design, prop side unexpectedly, or overall silhouette.