Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add moltbot/moltbot --skill "songsee"
Install specific skill from multi-skill repository
# Description
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
# SKILL.md
name: songsee
description: Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
homepage: https://github.com/steipete/songsee
metadata: {"moltbot":{"emoji":"๐","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.
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.