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songsee

Author：openclaw
Category：
Development
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name: songsee
description: Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
homepage: https://github.com/steipete/songsee

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.

Actions

install --global skills.sh
npx skills add openclaw/openclaw/skills/songsee

Usage Guide

  1. 1. Run Install Command

    Copy the installation command above and run it in your terminal to install globally.

  2. 2. Configure Environment

    Add the required environment variables to your MCP client according to the skill description.

  3. 3. Use in Client

    Configure and enable this skill in any MCP-compatible app (e.g. Claude or Cursor).