Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
npx agent-skills-cli listSkill Instructions
name: songsee description: Generate spectrograms and feature-panel visualizations from audio with the songsee CLI. homepage: https://github.com/steipete/songsee metadata: { "openclaw": { "emoji": "π", "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
--vizlist (repeatable or comma-separated)--stylepalette (classic, magma, inferno, viridis, gray)--width/--heightoutput size--window/--hopFFT settings--min-freq/--max-freqfrequency range--start/--durationtime slice--formatjpg|png
Notes
- WAV/MP3 decode native; other formats use ffmpeg if available.
- Multiple
--vizrenders a grid.
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