songsee

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

1|Updated Mar 8, 2026

Search Tags:#analysis #visualization #sound #audio #feature extraction #spectrogram

Ready to run

npx skills add https://github.com/syxscott/PaleoClaw --skill songsee-syxscott

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/syxscott/PaleoClaw/tree/main/skills/songsee
Command: npx skills add https://github.com/syxscott/PaleoClaw --skill songsee-syxscott

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill generates detailed spectrograms and feature visualizations from audio files, allowing for in-depth analysis of sound patterns.

Core Features & Use Cases

Spectrogram Generation: Create visual representations of audio frequencies over time.
Feature Visualization: Visualize various audio features like Mel spectrograms, chroma, loudness, and MFCCs.
Time Slicing: Extract specific segments of audio for focused analysis.
Use Case: Analyze the frequency content of a bird song recording or visualize the harmonic structure of a musical piece.

Quick Start

Generate a spectrogram for the audio 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?▼

To generate a spectrogram from an audio file, you can use this Skill to process audio files and output visual representations of audio frequencies over time in PNG or JPG format.

What audio features can I visualize besides a basic spectrogram?▼

Besides a basic spectrogram, you can visualize audio features like Mel spectrograms, chroma, loudness, MFCCs, HPSS, self-similarity, tempograms, and spectral flux.

Can I extract and analyze a specific time segment from an audio recording?▼

Yes, you can extract specific time segments from audio recordings for focused analysis by utilizing the time-based slicing functionality during the visualization process.

What image formats are supported for audio visualization outputs?▼

Audio visualization outputs are supported in PNG and JPG image formats, allowing you to save and export your generated spectrograms and feature-panel visualizations.

What is the best way to visualize the harmonic structure of a musical piece?▼

To visualize the harmonic structure of a musical piece, you can analyze the audio file using the chroma feature extraction option to generate detailed visual representations.

Do I need any external dependencies to extract audio features for visualization?▼

No external dependencies are required to extract audio features for visualization, as the Skill operates independently using the songsee CLI to process and generate image outputs.