Agent skill · design visual · steipete
songsee
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Why this skill is useful
Provides specific commands and flags for generating audio visualizations that the AI wouldn't reliably generate on its own.
What it needs
Requires songsee installed locally. About 1k tokens when loaded. Last updated 2026-08-07. 385,400 stars on the source repository.
What this skill does
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.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills steipete/songsee