songsee

Generate spectrograms and feature panels from audio files or standard input.

1|Updated Mar 5, 2026

Search Tags:#cli #visualization #audio #signal-processing #spectrogram #feature-panels #music-analysis

Ready to run

npx skills add https://github.com/abhiunix/community-registry --skill songsee-abhiunix

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/abhiunix/community-registry/tree/main/skills/media/songsee
Command: npx skills add https://github.com/abhiunix/community-registry --skill songsee-abhiunix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate visual representations of audio by producing spectrograms and related feature panels from input audio, enabling quick analysis and understanding of sound content.

Core Features & Use Cases

Visualize audio signals with spectrograms and multiple feature panels (mel, chroma, mfcc, and more).
Support CLI workflows to process single files or streams, enabling rapid exploratory analysis and research.
Use case: researchers can drop in an audio track and instantly generate a suite of visual diagnostics for debugging or presentation.

Quick Start

Run songsee on an audio file to generate a spectrogram and a set of feature panels.

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 using the command line?▼

You can generate a spectrogram by running the songsee tool on your audio file, producing visual diagnostics for quick analysis and understanding of sound content. It supports processing single files or streams.

What audio feature panels can I visualize for music analysis?▼

You can visualize audio signals using spectrograms alongside multiple feature panels including mel, chroma, mfcc, and others. These visual diagnostics help you debug and understand sound content across various datasets.

Can I pipe audio streams into a CLI visualization tool for signal inspection?▼

Yes, the tool satisfies CLI integration by accepting input from standard input streams. You can pipe audio data directly into the visualization workflow for rapid exploratory analysis and signal inspection.

What's the best way to visualize audio signals for debugging and presentation?▼

The best way is to generate a suite of visual diagnostics using spectrograms and feature panels. Researchers can drop in an audio track and instantly produce visual outputs for debugging or presentation purposes.

Does songsee require any external dependencies to process audio files?▼

No, songsee has no external dependencies. It operates independently to generate spectrograms and feature panels from audio, making it straightforward to integrate into existing CLI-based audio analysis workflows.