beat
16ステップビートを生成 (JSON + ASCII grid + MIDI + WAV)。スタイルプロンプトからビートを作成。トリガー: /beat, ビートを生成, ビートを作って
Best use case
beat is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
16ステップビートを生成 (JSON + ASCII grid + MIDI + WAV)。スタイルプロンプトからビートを作成。トリガー: /beat, ビートを生成, ビートを作って
Teams using beat should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/beat/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How beat Compares
| Feature / Agent | beat | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
16ステップビートを生成 (JSON + ASCII grid + MIDI + WAV)。スタイルプロンプトからビートを作成。トリガー: /beat, ビートを生成, ビートを作って
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Beat Generator 16ステップビートシーケンサー。スタイルプロンプトから JSON / MIDI / WAV / MP3 を生成する。 ## Context (auto-collected) 実行時に以下を取得: - run_id: `date +%Y%m%d_%H%M%S` - ffmpeg: `which ffmpeg || echo "(no ffmpeg)"` ## Pipeline ### Step 0: Prepare dirs - `beats/` と `.beatlab/` を作成 - 出力先: `beats/<run_id>/` ### Step 1: Generate (up to 3 attempts) 最大3回リトライ: 1. `music-reference-agent` でスタイルプロンプト → BeatSpec YAML 2. `music-generation-agent` で BeatSpec → Beat JSON 3. JSON を `beats/<run_id>/beat.json` に保存 4. バリデーション: ```bash uv run python .claude/skills/beatlab-pipeline/scripts/validate.py beats/<run_id>/beat.json --inplace ``` 5. 失敗時は `music-generation-agent` に修正を依頼してリトライ ### Step 2: Update current ```bash cp beats/<run_id>/beat.json .beatlab/current.json ``` ### Step 3: Render grid ```bash uv run python .claude/skills/beatlab-pipeline/scripts/render_grid.py beats/<run_id>/beat.json ``` ### Step 4: Export files ```bash # MIDI uv run python .claude/skills/beatlab-pipeline/scripts/export_midi.py beats/<run_id>/beat.json beats/<run_id>/beat.mid # WAV uv run python .claude/skills/beatlab-pipeline/scripts/render_wav.py beats/<run_id>/beat.json beats/<run_id>/beat.wav # MP3 (ffmpeg がある場合) ffmpeg -y -i beats/<run_id>/beat.wav beats/<run_id>/beat.mp3 ``` ## Output Format レスポンスに含める: - Summary: bpm, swing, run_id - ファイルパス: beat.json / beat.mid / beat.wav (/ beat.mp3) - ASCII 16-step grid
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