Generate audio spectrograms and feature visualizations from input files.
npx skills add https://github.com/Z43L/zeus-agent --skill songsee-z43l
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/Z43L/zeus-agent/tree/main/skills/media/songsee Command: npx skills add https://github.com/Z43L/zeus-agent --skill songsee-z43l
songsee removes the manual effort of generating visual and analytical views of audio by producing spectrograms and common audio features directly from audio files.
Use case example: analyze a song for changes in timbre and rhythm by generating a multi-panel image that combines spectrogram, chroma, loudness, tempogram, and spectral flux for a chosen segment.
Run songsee on your track file to generate a spectrogram image for rapid visual inspection.
High-intent search queries and answers about installing and using this skill.
Generate an audio spectrogram by passing a file path or standard input to the CLI. The tool renders a standard spectrogram image for rapid visual inspection of your input audio.
Audio feature visualizations include spectrogram, mel, chroma, MFCC, loudness, self-similarity, tempogram, and spectral flux panels. These features are extracted from the input file and rendered as multi-view images.
Analyze a specific time slice of an audio track by configuring the start time and duration parameters. This focuses the visualization on targeted events such as onsets, transitions, or motifs.
This audio feature extraction tool supports automated CLI workflows by accepting input via file paths or standard input. This allows repeatable pipeline integration for documentation, debugging, or automated inspection.
Visualize rhythm and timbre changes by generating a multi-panel image combining spectrogram, chroma, loudness, tempogram, and spectral flux views. This provides a comparative visualization across multiple feature types.
No external dependencies are required to render MFCC and chroma visualizations. The tool operates standalone to produce configurable output formats and dimensions for your audio analysis parameters.
samlaggzGenerate spectrograms and multi-panel audio feature visualizations from audio files via CLI.
quiznatGenerate spectrograms and multi-panel audio feature visualizations from audio files.
wangqianCAIGenerate spectrograms and audio feature visualizations from audio files using the songsee CLI.
erichowensRender real-time audio-responsive WebGL visualizations using Butterchurn presets and Web Audio FFT data.
