Songsee
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Install
npx skills add SafeAI-Lab-X/ClawKeeper --skill songsee -g -a claude-code -y- Repository
- SafeAI-Lab-X/ClawKeeper1k
- Category
- Media
- Updated
- 3mo ago
- License
- See repository
- Context cost
- Lightabout 190 tokens
- Runs scripts
- No, instructions only
What it does
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
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.


