Song

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

Security Scan

The skill is an instruction-only songwriting assistant that asks to read/write song files under ~/songs/ and produce lyrics/harmony/prompts; its requests match its stated purpose and there are no installs or credential demands.

Purpose & Capability

Name/description (songwriting, lyrics, harmony, AI prompts) align with the actual instructions and included reference files (lyrics.md, harmony.md, prompts.md). Required capabilities (reading/writing song drafts and preferences) are appropriate for a songwriting assistant.

Instruction Scope

All runtime instructions are prose only. The skill explicitly directs the agent to read/write a ~/songs/ directory (current.md, versions/, preferences.md) and to follow a versioning rule; this file I/O is coherent with pre-production/song-drafting purposes but does grant the skill the ability to create and update files in the user's home directory. The SKILL.md prepares prompts for external generators (Suno, Udio) but does not itself include API calls or endpoints.

Install Mechanism

No install spec and no code files — instruction-only. No packages, downloads, or executables are introduced.

Credentials

No environment variables, credentials, or config paths are requested. File access is limited to a single user-scoped path (~/songs/) which matches the skill's purpose.

Persistence & Privilege

always:false and normal invocation settings. The skill's own instructions tell it to create/update files under ~/songs/ (expected behavior). It does not request system-wide configuration changes or other skills' credentials.

Assessment

This skill is instruction-only and appears coherent with its songwriting purpose. Before installing: be aware it expects to read and write files in ~/songs/ (drafts, versions, preferences) — check or create that directory if you want to control where content is stored. The skill prepares prompts for services like Suno/Udio but does not include API calls or require keys; if you later paste prompts into external generators, review those services' privacy policies. The skill source/homepage is unknown — that's common for small instruction-only skills, but if provenance matters to you, prefer skills with a verifiable homepage or author. If you keep sensitive personal details in lyrics, consider where those files are stored and who has access on your machine.

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

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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.

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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

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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.

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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.

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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