songsee

by v1.0.0

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

What It Does

Songsee generates visual representations of audio data, including spectrograms and feature panels, enabling users to analyze audio characteristics and patterns.

When To Use

Use Songsee to analyze audio files, visualize music features, create audio visualizations for presentations, or debug audio processing pipelines.

Inputs

Audio files in WAV, MP3, or other formats supported by ffmpeg; command-line arguments for specifying visualization type, style, time range, and output format.

Outputs

Spectrograms and feature panel visualizations in JPG or PNG format.

Limitations

Relies on ffmpeg for decoding certain audio formats. Performance may vary depending on audio file size and complexity of the visualization.

Installation

Add to Cline skills directory

View Cline documentation

Add to Copilot workspace settings

View GitHub Copilot documentation

Configure in .aider.conf.yml

View Aider documentation

Add to .vscode/skills/

View VS Code documentation

What people say, and where to get help

No ratings yet. If you have used this skill, yours would be the first.

No reviews yet

This skill has not been rated. If you have run it, a short note about what you used it for helps the next person more than any description can.

Related Skills You May Like

Discover more AI agent skills in the same category to enhance your workflow automation.

Have a Skill to Share?

Join the community and help AI agents learn new capabilities. Submit your skill and reach thousands of developers.