Agent skill
songsee
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/songsee-majiayu000-claude-skill-registr
Metadata
Additional technical details for this skill
- moltbot
-
{ "emoji": "\ud83c\udf0a", "install": [ { "id": "brew", "bins": [ "songsee" ], "kind": "brew", "label": "Install songsee (brew)", "formula": "steipete/tap/songsee" } ], "requires": { "bins": [ "songsee" ] } }
SKILL.md
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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