--- name: music-audio description: "Music and audio tools: song generation (HeartMuLa), audio spectrogram/feature analysis (SongSee), and songwriting craft + AI music prompts." version: 2.0.0 author: Hermes Agent license: MIT platforms: [linux, macos, windows] metadata: hermes: tags: [music, audio, song-generation, spectrogram, songwriting, ai-music] --- # 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.