songsee
Songsee is a command-line tool that generates spectrograms and multi-panel audio visualizations from music files. Use it to create publication-quality visualizations of audio features including mel-spectrograms, chroma, harmonic-percussive source separation, self-similarity matrices, loudness contours, tempograms, and MFCCs, with customizable frequency ranges, time slicing, and output dimensions.
git clone --depth 1 https://github.com/the-open-agent/openagent /tmp/songsee && cp -r /tmp/songsee/skills/songsee ~/.claude/skills/songseeSKILL.md
# 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.
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