songsee

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

2|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/CUexter/hermes-agent --skill songsee-cuexter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/CUexter/hermes-agent/tree/main/skills/media/songsee
Command: npx skills add https://github.com/CUexter/hermes-agent --skill songsee-cuexter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate spectrograms and multi-panel audio feature visualizations from audio files to aid analysis, debugging, and documentation.

Core Features & Use Cases

  • Generate spectrograms, mel spectra, chroma, MFCC, tempogram, and related visualizations from audio inputs.
  • Use in music analysis, sound design debugging, and documentation of audio processing pipelines.
  • Supports single-file and batch processing for scalable analysis workflows.

Quick Start

Pass an audio file to songsee to generate multi-panel spectrograms and feature visualizations.

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 debugging?

To generate a spectrogram, pass an audio file to the CLI tool to produce multi-panel feature visualizations. It supports single-file and batch processing for scalable analysis workflows in music analysis, sound design debugging, and documentation.

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

Available audio feature visualizations include mel spectra, chroma, MFCC, tempogram, and HPSS plots alongside standard spectrograms. These multi-panel layouts provide comprehensive analysis of audio signals for documentation and debugging workflows.

Do I need ffmpeg to visualize audio features with a CLI tool?

Ffmpeg is optional but enables support for broader audio formats when generating spectrograms and feature plots. The core CLI tool natively processes audio inputs to create visualizations without requiring additional dependencies.

Can I process multiple audio files in batch to generate spectrograms?

Yes, batch processing is supported for generating spectrograms and multi-panel feature visualizations from multiple audio files. This enables scalable analysis workflows for music analysis, sound design debugging, and pipeline documentation.

What is the best way to visualize MFCC and tempogram features for audio analysis?

Use a CLI tool to generate multi-panel layouts containing MFCC and tempogram plots from audio inputs. This approach creates comprehensive visualizations suitable for detailed music analysis, debugging, and audio processing documentation.