@openclaw/songsee
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
No skills found in this collection.
SKILL.md
| name | songsee |
| description | Generate spectrograms and feature-panel visualizations from audio with the songsee CLI. |
| homepage | 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.
Loading...
Select a file to preview
Analyzing security...
Checking scan reports and verification data.
Bill of Materials
Everything this skill can do — files, network, commands, and more.
No demos yet. To add one, ask your AI agent: "Submit a demo for @openclaw/songsee" — or upload via the API.
To add a demo, ask your AI agent: "Submit a demo for @openclaw/songsee"
No eval data yet. Eval results are published via the SkillSafe API.