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songsee

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

Updated May 4, 2026
Search Tags:#cli#visualization#audio#spectrogram#mfcc#mel
One-click install
npx skills add https://github.com/Plaidmustache/hermes-nulab --skill songsee-plaidmustache
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/Plaidmustache/hermes-nulab/tree/main/skills/media/songsee
Command: npx skills add https://github.com/Plaidmustache/hermes-nulab --skill songsee-plaidmustache

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Visualize audio data by producing spectrograms and feature visualizations from audio files, reducing manual analysis and improving intuition for frequency content, rhythm, and timbre.

Core Features & Use Cases

  • Generate multiple visualization types (spectrogram, mel, chroma, MFCC, etc.) from a single audio file or batch.
  • Export high-quality images and support multi-panel grid layouts for comparisons and presentations.
  • Ideal for music analysis, education, and audio research workflows.

Quick Start

Process a track.mp3 to generate a multi-panel visualization image using the songsee CLI.

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?▼

To generate a spectrogram from an audio file, use the songsee CLI to process the track and export a high-quality image. It produces multi-panel audio feature visualizations for quick visual insight into frequency content.

What audio feature visualizations can I create besides a standard spectrogram?▼

You can generate multiple visualization types including mel spectrograms, chroma, and MFCC visualizations from a single audio file. These multi-panel layouts help compare frequency content and timbre for music analysis.

Can I batch process multiple audio files to export spectrogram images?▼

Yes, you can batch process audio files to generate spectrograms and feature visualizations. The CLI supports exporting high-quality images from multiple files, making it ideal for extensive audio research workflows.

Is there a CLI tool for visualizing MFCC and mel features for music analysis?▼

Yes, this CLI tool generates multi-panel visualizations of MFCC and mel features for music analysis. It provides quick visual insight into audio frequency content, rhythm, and timbre, supporting image export to standard formats.

Do I need any external dependencies to create audio spectrograms and feature visualizations?▼

No external dependencies are required to create audio spectrograms and feature visualizations. The Skill operates independently to process audio files and export multi-panel images without needing additional environment setup.

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