songsee

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

Updated Mar 13, 2026

Search Tags:#visualization #audio #cli tool #spectrogram #music analysis #audio features

Ready to run

npx skills add https://github.com/hochoa13/Asistente-Harlest --skill songsee-hochoa13

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/hochoa13/Asistente-Harlest/tree/main/skills/media/songsee
Command: npx skills add https://github.com/hochoa13/Asistente-Harlest --skill songsee-hochoa13

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the need for detailed visual analysis of audio files, enabling users to understand and debug audio characteristics.

Core Features & Use Cases

Spectrogram Generation: Create standard frequency spectrograms from audio.
Multi-feature Visualization: Generate grids of various audio features like Mel, Chroma, MFCC, and more.
Use Case: A music producer can use this Skill to visualize the harmonic and percussive components of a track to identify mixing issues or to document the sonic characteristics of a sound design element.

Quick Start

Use the songsee skill to generate a spectrogram from the attached file 'track.mp3'.

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 for music analysis?▼

You can generate a spectrogram from an audio file by running the songsee CLI tool against a track. It processes the audio features and outputs visual frequency spectrograms useful for audio analysis and debugging mix characteristics.

Can I visualize MFCC, Mel, and Chroma audio features in the same output?▼

Yes, you can visualize MFCC, Mel, and Chroma audio features together. The tool generates multi-panel grids and multi-feature visualizations to help you analyze various sonic characteristics simultaneously from a single audio file.

What is the best way to debug mixing issues using audio feature visualizations?▼

The best way to debug mixing issues is to generate multi-panel audio feature visualizations like loudness and spectrograms. This allows you to visually inspect harmonic and percussive components to identify sonic anomalies in your track.

Does this audio visualization CLI tool support time slicing for spectrograms?▼

Yes, the audio visualization CLI tool supports time slicing. It includes options for time slicing and output formatting to help you generate customized spectrograms and visual documentation of your audio files.

Do I need any dependencies to visualize audio features from files?▼

No, you do not need any external dependencies to visualize audio features from files. The Skill operates independently without requiring additional components to generate spectrograms and multi-panel visualizations.