skills.rest
srgaba
srgabaCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

songsee

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

Updated Mar 30, 2026
Search Tags:#cli#chroma#spectrogram#songsee#audio visualization#music analysis#mel
One-click install
npx skills add https://github.com/srgaba/open-claw --skill songsee-srgaba
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/srgaba/open-claw/tree/main/project/skills/songsee
Command: npx skills add https://github.com/srgaba/open-claw --skill songsee-srgaba

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Turning raw audio into visual representations like spectrograms and feature panels normally requires writing signal-processing code. This Skill wraps the songsee CLI so you can produce publication-ready audio visualizations with a single command. ## Core Features & Use Cases - Spectrogram Generation: Render a spectrogram from any audio file with one command. - Multi-Panel Feature Grids: Combine mel, chroma, HPSS, self-similarity, loudness, tempogram, MFCC, and flux views into a single grid image. - Flexible Output Control: Adjust palette, dimensions, FFT window/hop, frequency range, time slices, and JPG/PNG output format. - Use Case: A music researcher wants to compare the spectral content of a chorus section across tracks. They render an 8-second time slice of each track as a mel spectrogram with the magma palette for side-by-side analysis. ## Quick Start Use the songsee skill to generate a spectrogram of my track.mp3 file and save it as a PNG image.

Frequently Asked Questions about songsee

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a spectrogram from an audio file?▼

Run songsee followed by the audio file path, such as songsee track.mp3, to produce a spectrogram image. You can control the output with flags like --format png, --width, --height, and --style for the color palette.

How to visualize multiple audio features in one image?▼

Pass a comma-separated list to the --viz flag, for example --viz spectrogram,mel,chroma,tempogram. songsee renders each selected feature as a panel in a single grid image.

What audio formats does songsee support?▼

songsee decodes WAV and MP3 files natively. Other audio formats are supported when ffmpeg is available on the system, which songsee uses as a fallback decoder.

Can I render only a specific section of a song?▼

Yes, use the --start and --duration flags to select a time slice in seconds, for example --start 12.5 --duration 8. The visualization is rendered only for that portion of the audio.

How do I install the songsee CLI?▼

Install songsee via Homebrew with the steipete/tap/songsee formula. The songsee binary must be present on your system before the Skill can generate visualizations.

Related Skills

Explore More Design & Creative Skills→
trpc-grouptrpc-group
1.8k

songsee

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

Official
Basic
i-am-beei-am-bee
1.2k

blog-post

Writes structured long-form blog posts with research delegation and generated cover images.

Official
Intermediate
hochoa13hochoa13

songsee

Generate spectrograms and multi-panel audio feature visualizations from audio files via CLI.

Community
Intermediate
taracodlabstaracodlabs
799

songsee

Generate mel spectrograms, chromagrams, and MFCC plots from audio files using librosa.

Official
Basic