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name, description, version, author, license, platforms, metadata
| name | description | version | author | license | platforms | metadata | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| music-audio | Music and audio tools: song generation (HeartMuLa), audio spectrogram/feature analysis (SongSee), and songwriting craft + AI music prompts. | 2.0.0 | Hermes Agent | MIT |
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Music & Audio Tools
Three skills for the audio/music domain: AI song generation, audio feature analysis, and songwriting craft.
Section 1: HeartMuLa — AI Song Generation
Suno-like song generation from lyrics + tags. Generate complete songs from text descriptions.
When to use: User wants to create songs, generate music from lyrics, or produce audio tracks.
See: references/heartmula.md for full API usage and tag system.
Section 2: SongSee — Audio Spectrogram & Features
Audio spectrograms and feature extraction (mel, chroma, MFCC) via CLI. Analyze audio files for frequency content, pitch distribution, and timbral characteristics.
When to use: Analyzing audio recordings, comparing audio features, debugging audio processing pipelines, or visualizing sound.
See: references/songsee.md for feature extraction commands and visualization options.
Section 3: Songwriting & AI Music
Songwriting craft fundamentals and AI music prompt construction. Covers song structure, lyric writing techniques, and how to craft effective prompts for AI music generators (Suno, Udio, etc.).
When to use: When writing songs, crafting AI music prompts, or needing guidance on song structure, melody, and lyrics.
See: references/songwriting-and-ai-music.md for songwriting patterns and AI prompt templates.