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