Skills › Content & Creative › Video & audio
songsee
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
The full skill
—
name: songsee
description: Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
homepage: https://github.com/steipete/songsee
metadata:
{
"openclaw":
{
"emoji": "🌊",
"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.