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Core Kura repository operating rules. Use when changing Kura source code, run lifecycle behavior, workspace artifact handling, executor/backend boundaries, secrets handling, or any code that affects reproducible training/render runs.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | kura-core |
| description | Core Kura repository operating rules. Use when changing Kura source code, run lifecycle behavior, workspace artifact handling, executor/backend boundaries, secrets handling, or any code that affects reproducible training/render runs. |
Use this skill before changing production code in src/kura/, tests, executor/backend contracts, or run artifact semantics.
git status --short --branch and git log --oneline -5.uv for Python commands.run.yaml is human/agent intent.resolved/ is compile-time immutable input.realizations/.status.json materializes latest state; it is not the source of historical truth.notes.md, treat run artifacts as append-only or immutable unless a CLI command explicitly owns the mutation./workspace/...;status.json, model locks, indexes, and workspace symlinks should use workspace-relative paths or host-resolvable links;/root/..., /opt/..., /tmp/..., /var/..., or /app/... into host-consumed workspace artifacts. Use src/kura/paths.py and the workspace mount table; if a path cannot be mapped, fail or treat it as unavailable rather than guessing.workspace.yaml, run.yaml, env.lock, logs, README, or Docker images..env.local or exported environment variables.Use the narrowest relevant check first, then broader checks when lifecycle behavior changes:
uv run python -m unittest discover -s tests
uv run kura --help
ComfyUI render workflow operations for Kura. Use when editing workflows/*.json, render run.yaml files, workflow_patches, promptsets, image comparison generation, ComfyUI endpoint behavior, or render result collection.
RunPod remote training lifecycle and billing safety for Kura. Use when working on kura run remote, runpod staging/upload/download/pull/stop/reconcile, Pod cleanup, max lease, notifications, GPU selection, Network Volumes, or RunPod docs/README updates.
Dataset preparation and validation for Kura training runs. Use when creating or editing datasets/, dataset.yaml, items.jsonl, captions, trigger words, paired/control datasets, dataset roles, or dataset validation behavior.
Local disk, WSL2, Docker, cache, cleanup, permission, and checkpoint safety workflow for Kura. Use before local Docker training, real model-download smoke tests, Docker image builds, RunPod downloads/pulls, cleanup, permission repair, or when the user mentions disk space, WSL, Docker storage, cache, checkpoints, root-owned files, cleanup, or a crash/reconnect incident.
Musubi Tuner backend guidance for Kura. Use when compiling or changing Musubi compile output, model bundle resolution, safetensors validation, LoRA output compatibility, dataset TOML generation, low-VRAM flags, batch/gradient accumulation, or Musubi Docker images.
Choosing training parameters and resource trade-offs for Kura LoRA runs. Use when proposing or reviewing run.yaml training parameters, judging VRAM fit from `kura run plan` Resources, reacting to CUDA OOM, choosing fp8/quantized artifacts, or deciding which memory-saving or quality trade-off to apply and what needs user approval.