songsee

Name: songsee
Availability: InStock
Author: Aayushsoam

Generate spectrograms and multi-panel feature visualizations from WAV/MP3 audio via CLI.

1|Updated Mar 31, 2026

Search Tags:#cli #visualization #audio #generate #spectrogram #feature-panel #music-analysis

Ready to run

npx skills add https://github.com/aayushsoam/clawbot-plus --skill songsee-aayushsoam

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate clear visual representations of audio signals by producing spectrograms and feature-panel visualizations with the songsee CLI, enabling quicker analysis and presentation of sound data.

Core Features & Use Cases

Generate spectrograms from audio files (wav/mp3) quickly for analysis or publication.
Produce multi-panel visualizations showing multiple features (mel, chroma, mfcc, etc.) in a single view.
Ideal for music researchers, educators, and content creators who need compelling audio visuals for demonstrations or reports.

Quick Start

Run songsee on an audio file to generate a spectrogram visualization.

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 analysis?▼

To generate an audio spectrogram, run the songsee CLI on your input file to produce a clear visual representation of the sound frequencies over time. It processes standard formats like WAV and MP3.

What is a multi-panel feature visualization for music analysis?▼

A multi-panel feature visualization displays multiple audio characteristics, such as mel, chroma, and MFCCs, in a single view. This allows researchers to analyze distinct sound features simultaneously from one audio input.

Can I create audio visuals for podcasts and educational demonstrations?▼

Yes, you can create audio visuals for podcasts and educational demonstrations by generating spectrograms and feature panels. This provides compelling visual representations of sound for reports or presentations.

What audio formats work with CLI-based spectrogram generation?▼

CLI-based spectrogram generation works with standard audio formats including WAV and MP3. You provide these input files to the tool to quickly produce single or multi-panel visual outputs.

How do I visualize MFCCs and chroma features from a WAV file?▼

To visualize MFCCs and chroma features from a WAV file, use the multi-panel visualization option. This generates a single view containing multiple feature panels for comprehensive music analysis.

Do I need additional dependencies to produce audio feature panels?▼

No additional dependencies are required to produce audio feature panels. The tool operates independently to generate spectrograms and multi-feature visualizations directly from your audio inputs.