hatch-pet

npx skills add hAcKlyc/MyAgents --skill hatch-pet --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# Hatch Pet ## Overview Create a MyAgents/Codex-compatible animated pet from a concept, brand cue, company/prospect name, one or more reference images, or any combination of those inputs. This workflow keeps the deterministic hatch-pet pipeline for atlas geometry, validation, visual QA, and packaging, while using concise state-specific prompts and allowing any pet-safe visual style. User-facing inputs are optional. If the user omits a pet name, infer one from the concept, brand, company, or reference filenames; if that is not possible, choose a short friendly 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: ```text ${CODEX_HOME:-$HOME/.codex}/skills/.system/imagegen/SKILL.md ``` Do not call the Image API, image CLI, or any other image-generation path directly. Let `$imagegen` choose its own built-in-first path and fallback ru

python "$SKILL_DIR/scripts/prepare_pet_run.py" \
mkdir -p "$(dirname "$RUN_DIR/$OUTPUT_REL")"
cp "$SOURCE" "$RUN_DIR/$OUTPUT_REL"
if [ "$JOB_ID" = "base" ]; then mkdir -p "$RUN_DIR/references"; cp "$RUN_DIR/$OUTPUT_REL" "$RUN_DIR/references/canonical-base.png"; fi
mv "$TMP_MANIFEST" "$RUN_DIR/imagegen-jobs.json"
for GENERATED_ROOT in "${MYAGENTS_HOME:-$HOME/.myagents}/generated_images" "${CODEX_HOME:-$HOME/.codex}/generated_images"; do
case "$SOURCE" in
rm -f "$SOURCE"
rmdir "$(dirname "$SOURCE")" 2>/dev/null || true
esac