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English technical replies for Kura-related issues, PRs, upstream questions, release notes, or support messages. Use when converting Japanese notes or repo findings into concise, careful English without leaking secrets.
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 | english-reply |
| description | English technical replies for Kura-related issues, PRs, upstream questions, release notes, or support messages. Use when converting Japanese notes or repo findings into concise, careful English without leaking secrets. |
Use this skill for English communication.
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.
