songsee
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Skill by GenTelLab
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What's inside
- Skill name
songsee- Description
- Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
- License
- MIT
- Instructions
- 24 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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.
From GenTelLab/trustclaw, MIT.
Signals
- Stars
- 49
- Forks
- 6
- Open issues
- 1
- Last commit (this folder)
- Feb 2, 2026 (9 months ago)
- Last release
- Feb 3, 2026 (9 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/GenTelLab/trustclaw
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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songsee skill. Agent Mart. https://agentmart.dev/skills/gentellab-songsee (last updated 2026-10-24)