🌊 Songsee OpenClaw Skill - ClawHub
Do you want your AI agent to automate Songsee workflows? This free skill from ClawHub helps with cli utilities tasks without building custom tools from scratch.
What this skill does
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Install
npx clawhub@latest install songseeFull SKILL.md
Open original| name | description | homepage |
|---|---|---|
| songsee | Generate spectrograms and feature-panel visualizations from audio with the songsee CLI. | https://github.com/steipete/songsee |
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.