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Song

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

$ git log --oneline --stat
stars:1,933
forks:367
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameSong
slugsong
descriptionWrite original songs with guided lyric development, chord progressions, melody contours, and AI music generator prompts for composers at any level.

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