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songsee

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

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
323,628
Hot score
99
Updated
March 20, 2026
Overall rating
C4.8
Composite score
4.8
Best-practice grade
B84.0

Install command

npx @skill-hub/cli install moltbot-moltbot-songsee

Repository

moltbot/moltbot

Skill path: skills/songsee

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

Open repository

Best for

Primary workflow: Ship Full Stack.

Technical facets: Full Stack.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: moltbot.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install songsee into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/moltbot/moltbot before adding songsee to shared team environments
  • Use songsee for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw 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":"🌊","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 | SkillHub