songsee

Name: songsee
Availability: InStock
Author: aissenliu

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

Updated Apr 27, 2026

Search Tags:#chroma #audio-analysis #spectrogram #audio-visualization #mfcc #songsee #mel

Ready to run

npx skills add https://github.com/AissenLiu/EasyHermes --skill songsee-aissenliu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/AissenLiu/EasyHermes/tree/main/hermes-agent/skills/media/songsee
Command: npx skills add https://github.com/AissenLiu/EasyHermes --skill songsee-aissenliu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate spectrograms and multi-panel audio feature visualizations from audio files via CLI to facilitate quick audio analysis, documentation, and debugging of audio processing pipelines.

Core Features & Use Cases

Visualize a range of audio features including spectrogram, mel, chroma, MFCC, tempogram, self-similarity, loudness, and spectral flux in a single or multi-panel image.
Ideal for music production debugging, academic research, and technical documentation where clear visual feedback is required.
Outputs are ready-to-use image files (PNG/JPG) for reports, dashboards, and shareable materials.

Quick Start

Render spectrograms and multi-panel audio feature visualizations for a given audio file.

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 via CLI?▼

You can generate a spectrogram from an audio file via CLI using songsee, which processes the audio to produce ready-to-use PNG or JPG image outputs for quick analysis and documentation.

Can I visualize multiple audio features like MFCC and chroma in a single image?▼

Yes, you can visualize multiple audio features like MFCC and chroma in a single multi-panel image. This skill supports generating combined visualizations for comprehensive audio analysis.

What audio feature visualizations can I create for music production debugging?▼

For music production debugging, you can create visualizations including spectrogram, mel, chroma, hpss, selfsim, loudness, tempogram, mfcc, and spectral flux to get clear visual feedback.

Does songsee work without external dependencies in a CLI environment?▼

Yes, songsee works without external dependencies in a CLI environment. It is designed to facilitate quick audio analysis and technical documentation directly from your command line.

What is the best way to document audio analysis results for academic research?▼

The best way to document audio analysis results for academic research is generating multi-panel audio feature visualizations. This skill outputs shareable PNG or JPG files suitable for reports and dashboards.