songsee

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

Updated Jun 18, 2026

Search Tags:#analysis #visualization #audio #ffmpeg #music #spectrogram

Ready to run

npx skills add https://github.com/wangqianCAI/OBI --skill songsee-wangqiancai

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the difficulty of manually generating high-quality audio visualizations and feature analysis panels, which are essential for music production, sound design, and audio research.

Core Features & Use Cases

Multi-format Visualization: Generate spectrograms, mel-spectrograms, chroma, and other audio features from various audio formats.
Customizable Output: Adjust frequency ranges, time slices, and visual styles to suit specific analytical needs.
Use Case: A sound engineer can use this to quickly generate a grid of visual features for a track to identify frequency imbalances or rhythmic patterns before mixing.

Quick Start

Use the songsee skill to generate a multi-panel visualization for the audio file track.mp3 with spectrogram, mel, and chroma features.

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 music production?▼

Create a multi-panel visualization with spectrogram, mel, and chroma features by invoking the songsee skill on your audio file. It renders customizable audio feature grids for diverse analytical tasks.

Do I need ffmpeg to visualize spectrograms for non-standard audio formats?▼

Frequency range analysis identifies frequency imbalances and rhythmic patterns within an audio track. By adjusting time slices and visual styles, you can isolate specific spectral data for sound design.

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

Generate a multi-panel grid of visual features by configuring the songsee skill to render spectrogram, mel, and chroma panels simultaneously. This approach helps identify frequency imbalances before mixing.

Can I adjust the frequency ranges and time slices when analyzing audio?▼

You can visualize mel-spectrograms and chroma features alongside standard spectrograms in a multi-panel grid. This allows comprehensive analysis of frequency imbalances and rhythmic patterns for sound design.