skills.rest
Hermesagents
HermesagentsCOMMUNITY
Explore all skills by this author →
GitHub

songsee

Generate spectrograms and audio feature visualizations from audio files via the songsee CLI.

Updated Aug 23, 2026
Search Tags:#cli#visualization#audio#chroma#spectrogram#mfcc
One-click install
npx skills add https://github.com/Hermesagents/hermes-agents --skill songsee-hermesagents
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/Hermesagents/hermes-agents/tree/main/skills/media/songsee
Command: npx skills add https://github.com/Hermesagents/hermes-agents --skill songsee-hermesagents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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

Core Features & Use Cases

  • Generate spectrograms, mel spectrograms, MFCCs, chroma, and other feature visualizations from audio files.
  • Useful for audio analysis, music production debugging, and documentation of sound design workflows.
  • Works from the command line with the songsee CLI, enabling quick integration into automation scripts.

Quick Start

Run songsee on an audio file to generate 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?▼

To generate a spectrogram from an audio file, you can use a command line tool to analyze the audio and produce a visual representation of its frequency spectrum over time. This requires the songsee CLI to be installed.

Can I visualize MFCC and chroma features for music production debugging?▼

Yes, you can visualize MFCC and chroma features for music production debugging. The tool generates multi-panel audio feature visualizations, allowing you to inspect characteristics like mel spectrograms to identify issues in sound design workflows.

Do I need ffmpeg to process non WAV or MP3 audio formats?▼

Yes, you need ffmpeg to process non WAV or MP3 audio formats. The tool natively handles WAV and MP3 files, but requires optional ffmpeg dependencies to decode and analyze other common audio formats.

What is the best way to automate audio feature visualization for documentation?▼

The best way to automate audio feature visualization for documentation is using a CLI tool. Running commands from the terminal enables quick integration into automation scripts, generating spectrograms and feature visuals for sound design workflows.

Does songsee work with CLI automation scripts?▼

Yes, songsee works with CLI automation scripts. It operates entirely from the command line to analyze input audio files, allowing you to seamlessly integrate spectrogram and audio feature generation into automated workflows.

Related Skills

Explore More Design & Creative Skills→
Rawgrowth-ConsultingRawgrowth-Consulting

songsee

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

Official
Intermediate
agentic-inagentic-in
577

SongSee

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

Official
Intermediate
juliuss1907juliuss1907

songsee

Generate spectrograms and Mel, Chroma, and MFCC visualizations from audio files.

Community
Intermediate
lenadlmlenadlm

songsee

Generate spectrograms and audio feature visualizations from audio files via CLI.

Community
Intermediate