openclaw / songsee
Install for your project team
Run this command in your project directory to install the skill for your entire team:
mkdir -p .claude/skills/songsee && curl -L -o skill.zip "https://fastmcp.me/Skills/Download/3425" && unzip -o skill.zip -d .claude/skills/songsee && rm skill.zipProject Skills
This skill will be saved in .claude/skills/songsee/ and checked into git. All team members will have access to it automatically.
Important: Please verify the skill by reviewing its instructions before using it.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
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Skill Content
---
name: songsee
description: Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
homepage: https://github.com/steipete/songsee
metadata:
{
"openclaw":
{
"emoji": "🌊",
"requires": { "bins": ["songsee"] },
"install":
[
{
"id": "brew",
"kind": "brew",
"formula": "steipete/tap/songsee",
"bins": ["songsee"],
"label": "Install songsee (brew)",
},
],
},
}
---
# 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.