Agent SkillsAgent Skills
openclaw

songsee

@openclaw/songsee
openclaw
343,677
68069 forks
Updated 4/1/2026
View on GitHub

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

Installation

$npx agent-skills-cli install @openclaw/songsee
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathskills/songsee/SKILL.md
Branchmain
Scoped Name@openclaw/songsee

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

npx agent-skills-cli list

Skill Instructions


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.
songsee by openclaw | Agent Skills