PluginBench
Skill
Review
Audit score 70

songsee

steipete/clawdis

How to install songsee

npx skills add https://github.com/steipete/clawdis --skill songsee
Claude Code
Cursor
Windsurf
Cline
Full instructions (SKILL.md)

Source of truth, from steipete/clawdis.


name: songsee description: "Generate spectrograms and feature-panel visualizations from audio with the songsee CLI." homepage: https://github.com/steipete/songsee metadata: { "openclaw": { "emoji": "๐ŸŒŠ", "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.