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    songsee

    Generate spectrograms and feature-panel visualizations from audio

    By @steipete
    View on GitHub
    SKILL.md
    ---
    name: songsee
    description: Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
    homepage: https://github.com/steipete/songsee
    metadata: {"clawdbot":{"emoji":"🌊","requires":{"bins":["songsee"]},"install":[{"id":"brew","kind":"brew","formula":"steipete/tap/songsee","bins":["songsee"],"label":"Install songsee (brew)"}]}}
    ---
    
    # songsee
    
    Generate spectrograms + feature panels from audio.
    
    Quick start
    - Spectrogram: `songsee track.mp3`
    - Multi-panel: `songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux`
    - Time slice: `songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg`
    - Stdin: `cat track.mp3 | songsee - --format png -o out.png`
    
    Common flags
    - `--viz` list (repeatable or comma-separated)
    - `--style` palette (classic, magma, inferno, viridis, gray)
    - `--width` / `--height` output size
    - `--window` / `--hop` FFT settings
    - `--min-freq` / `--max-freq` frequency range
    - `--start` / `--duration` time slice
    - `--format` jpg|png
    
    Notes
    - WAV/MP3 decode native; other formats use ffmpeg if available.
    - Multiple `--viz` renders a grid.