Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
77
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Generate spectrograms + feature panels from audio.
Quick start
songsee track.mp3songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,fluxsongsee track.mp3 --start 12.5 --duration 8 -o slice.jpgcat track.mp3 | songsee - --format png -o out.pngCommon 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|pngNotes
--viz renders a grid.e893157
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.