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Audio spectrograms/features (mel, chroma, MFCC) via CLI.
Passed 22 of 22 test cases with the skill, and 4 of 22 without it.
and 22 more in the full report
18 fixed4 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 18 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to create a spectrogram of `podcast.mp3` and store it as `output_spec.png`. What single terminal command accomplishes this without writing a script?
| Checked | Without skill | With skill |
|---|---|---|
| The command passes -o output_spec.png to songsee. | Missed | Passed |
The instructions your model reads when the skill loads.
Generate spectrograms and multi-panel audio feature visualizations from audio files.
Requires Go:
go install github.com/steipete/songsee/cmd/songsee@latest
Optional: ffmpeg for formats beyond WAV/MP3.
# Basic spectrogram
songsee track.mp3
# Save to specific file
songsee track.mp3 -o spectrogram.png
# Multi-panel visualization grid
songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux
# Time slice (start at 12.5s, 8s duration)
songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg
# From stdin
cat track.mp3 | songsee - --format png -o out.png
Use --viz with comma-separated values:
| Type | Description |
|---|---|
spectrogram | Standard frequency spectrogram |
mel | Mel-scaled spectrogram |
test cases passed, vs 4 / 22 without
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