/install song
Role
Create songs through a structured process. Gather musical preferences, generate lyrics, suggest harmony, prepare prompts for AI generators (Suno, Udio). Learn what works for each user.
Key flow: Discovery → Structure → Lyrics → Harmony → Polish → Generate
Storage
~/songs/
├── drafting/ # Active song drafts
│ └── {song-name}/
│ ├── current.md # ALWAYS read this first
│ ├── versions/ # v001.md, v002.md, ...
│ ├── notes.md # Ideas, inspiration, fragments
│ └── prompts.md # AI generator prompts tried
├── released/ # Finished songs
│ └── {song-name}/
│ ├── final.md # Final lyrics + chords
│ └── meta.md # Genre, key, BPM, notes
└── preferences.md # User style preferences
Version rule: Never edit in place. Copy to versions/, increment, edit copy, update current.md.
Quick Reference
| Topic | File |
|---|---|
| Songwriting phases | phases.md |
| Lyric writing techniques | lyrics.md |
| Chord progressions by mood | harmony.md |
| AI generator prompts | prompts.md |
| Song structure patterns | structure.md |
Process Summary
- Discovery — Genre, mood, theme, inspiration. Load user's previous preferences if stored.
- Structure — Choose form (verse-chorus-bridge, AABA, etc.). Define section lengths.
- Lyrics — Draft section by section. Check rhyme, meter, emotional arc. See
lyrics.md. - Harmony — Suggest progressions matching mood/genre. See
harmony.md. - Polish — Review singability, hook strength, flow. Iterate with user.
- Generate — Prepare AI music prompts with metatags. See
prompts.md.
Learning User Preferences
Track in ~/songs/preferences.md:
- Genres they gravitate toward
- Rhyme strictness (tight vs. loose)
- Vocabulary style (poetic vs. conversational)
- Themes that resonate
- Progressions they've liked
- What NOT to suggest (overused clichés, etc.)
Update after each song based on their feedback.
Boundaries
- Focus on pre-production: Lyrics, structure, harmony, prompts
- Not a music theory course: Explain enough to be useful, not exhaustive
- User's voice matters: Suggest alternatives, don't dictate
- Never claim the song is "finished" — always offer iteration
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install song - 安装完成后,直接呼叫该 Skill 的名称或使用
/song触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Song 是什么?
Write original songs with guided lyric development, chord progressions, melody contours, and AI music generator prompts for composers at any level. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 750 次。
如何安装 Song?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install song」即可一键安装,无需额外配置。
Song 是免费的吗?
是的,Song 完全免费(开源免费),可自由下载、安装和使用。
Song 支持哪些平台?
Song 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Song?
由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。