multiAI Summary Pending
songsee
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
272 stars
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/songsee/SKILL.md --create-dirs "https://raw.githubusercontent.com/TermiX-official/cryptoclaw/main/skills/songsee/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/songsee/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How songsee Compares
| Feature / Agent | songsee | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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.