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songsee

Generate spectrograms and feature-panel visualizations from audio files with the songsee CLI.

Updated Mar 7, 2026
Search Tags:#cli#chroma#spectrogram#songsee#audio visualization#music analysis#mel
One-click install
npx skills add https://github.com/shalevamin/Tau_agent --skill songsee-shalevamin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/shalevamin/Tau_agent/tree/main/tau-agent-main/skills/songsee
Command: npx skills add https://github.com/shalevamin/Tau_agent --skill songsee-shalevamin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Turning raw audio into visual representations like spectrograms and feature panels normally requires writing custom signal-processing code. This Skill wraps the songsee CLI so you can produce publication-ready audio visualizations with a single command. ## Core Features & Use Cases - Spectrogram Generation: Render a spectrogram from any audio file with one command. - Multi-Panel Feature Grids: Combine mel, chroma, HPSS, self-similarity, loudness, tempogram, MFCC, and flux visualizations into a single grid image. - Flexible Output Control: Adjust palette, dimensions, FFT window/hop, frequency range, time slices, and JPG/PNG output format. - Use Case: A music researcher wants to compare the spectral structure of several recordings. They generate multi-panel feature grids for each track to visually inspect timbre, tempo, and loudness patterns side by side. ## Quick Start Ask the agent to generate a spectrogram of your audio file, for example: create a spectrogram of track.mp3 using songsee and save it as a PNG.

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?▼

Run songsee followed by the audio file path, such as songsee track.mp3, to produce a spectrogram image. You can control the output with flags like --format, --width, --height, and --style.

How to visualize multiple audio features in one image?▼

Pass a comma-separated list to the --viz flag, for example --viz spectrogram,mel,chroma,hpss,loudness,tempogram,mfcc,flux. Multiple visualizations are rendered together as a grid in a single output image.

What audio formats does songsee support?▼

WAV and MP3 files are decoded natively by songsee. Other audio formats are supported when ffmpeg is available on the system to handle decoding.

Can I generate a spectrogram of only part of a song?▼

Yes, use the --start and --duration flags to select a time slice, for example --start 12.5 --duration 8 to visualize an eight-second segment beginning at 12.5 seconds.

How do I install the songsee CLI?▼

Install songsee on macOS with Homebrew using the formula steipete/tap/songsee. After installation the songsee binary is available on your PATH for direct CLI use.

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