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songsee

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

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The full skill

— name: songsee description: Generate spectrograms and feature-panel visualizations from audio with the songsee CLI. homepage: https://github.com/steipete/songsee metadata: { "openclaw": { "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.