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Développement · SKILL.md

Song

Song

Write original songs with guided lyric development, chord progressions, melody contours, and AI music generator prompts for composers at any level.

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Documentation de la Skill

GitHub

name: Song slug: song version: 1.0.0 description: Write original songs with guided lyric development, chord progressions, melody contours, and AI music generator prompts for composers at any level. homepage: https://clawic.com/skills/song metadata: clawdbot: emoji: 🎵 displayName: 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

TopicFile
Songwriting phasesphases.md
Lyric writing techniqueslyrics.md
Chord progressions by moodharmony.md
AI generator promptsprompts.md
Song structure patternsstructure.md

Process Summary

  1. Discovery — Genre, mood, theme, inspiration. Load user's previous preferences if stored.
  2. Structure — Choose form (verse-chorus-bridge, AABA, etc.). Define section lengths.
  3. Lyrics — Draft section by section. Check rhyme, meter, emotional arc. See lyrics.md.
  4. Harmony — Suggest progressions matching mood/genre. See harmony.md.
  5. Polish — Review singability, hook strength, flow. Iterate with user.
  6. 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
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