skills.rest
ossoolli
ossoolliCOMMUNITY
Explore all skills by this author →
GitHub

songsee

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

Updated May 18, 2026
Search Tags:#cli#visualization#audio#Chroma#spectrogram#mfcc#music analysis
One-click install
npx skills add https://github.com/ossoolli/Nexum-Core --skill songsee-ossoolli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/ossoolli/Nexum-Core/tree/main/skills/media/songsee
Command: npx skills add https://github.com/ossoolli/Nexum-Core --skill songsee-ossoolli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Analyzing audio content visually requires specialized tooling; this Skill turns audio files into spectrograms and multi-panel feature visualizations so you can inspect frequency content, tempo, and structure without opening a DAW. ## Core Features & Use Cases - Spectrogram Generation: Render standard or mel-scaled spectrograms from WAV and MP3 files with customizable color palettes and dimensions. - Multi-Panel Feature Grids: Combine chroma, MFCC, tempogram, loudness, HPSS, self-similarity, and spectral flux views into a single image. - Time Slicing & Streaming: Visualize specific time ranges with --start and --duration, or pipe audio via stdin. - Use Case: Compare two audio synthesis outputs by generating side-by-side mel spectrograms, then inspect the images with a vision model to verify frequency characteristics. ## Quick Start Use the songsee skill to generate a mel spectrogram of track.mp3 and save it as spectrogram.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 MP3 file?▼

Run songsee with the audio file path, for example songsee track.mp3, and use -o to set the output image path. WAV and MP3 are decoded natively, and you can choose jpg or png output with --format.

What audio visualization types does songsee support?▼

songsee supports spectrogram, mel, chroma, hpss, selfsim, loudness, tempogram, mfcc, and flux visualizations. Pass multiple types as comma-separated values to --viz to render them as a grid in a single image.

Does songsee support audio formats other than WAV and MP3?▼

songsee decodes WAV and MP3 natively. For other formats such as FLAC or AAC, you need ffmpeg installed so it can handle the decoding before visualization.

How do I visualize only part of an audio file?▼

Use the --start and --duration flags to select a time slice, for example songsee track.mp3 --start 12.5 --duration 8 to render an 8-second segment starting at 12.5 seconds.

Can I pipe audio into songsee from stdin?▼

Yes, pass a dash as the input, for example cat track.mp3 | songsee - --format png -o out.png. This is useful when chaining songsee into shell-based audio processing pipelines.

Related Skills

Explore More Design & Creative Skills→
NousResearchNousResearch
239.1k

songsee

Generate spectrograms and audio feature visualizations from audio files.

Official
Basic
MLT-OSSMLT-OSS
14

songsee

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

Official
Basic
dkyazzentwatwadkyazzentwatwa
86

audio-analyzer

Analyze audio tempo, key, loudness, and frequency with waveform and spectrogram visualizations.

Community
Intermediate
taracodlabstaracodlabs
799

songsee

Generate mel spectrograms, chromagrams, and MFCC plots from audio files using librosa.

Official
Basic