music-analyze
Full music analysis — extracts rhythm, emotion, timbre, tonality, lyrics and outputs structured JSON
Full skill instructions
Analyze a local audio file and output a comprehensive structured JSON containing rhythm, emotion, timbre, tonality, lyrics, onset, and color palette data.
/music-analyze <audio_file_path>
MP3, WAV, FLAC, OGG, M4A, AAC, WMA
python3 -m music_analyzer analyze "<audio_file_path>"
Parse the JSON output and present a structured summary to the user:
If the user wants to generate Dreamina prompts or storyboards, suggest:
/music-to-dreamina for Dreamina image/video generation prompts/music-to-storyboard for shot-by-shot storyboard/music-color-palette for detailed color scheme--no-cache to force re-analysis (skip cached results)--no-separation to skip Demucs source separation (faster)--output <path> to save JSON to a specific fileThe analysis JSON follows the MusicAnalysisResult schema and can be saved and reused as input for the formatter commands (dreamina, storyboard, color-palette).
pip install -e ~/.claude/plugins/music-analyzer/src/
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