Generate spectrograms and feature panels from audio files via CLI.
npx skills add https://github.com/founderphantom/zola-agent --skill songsee-founderphantom
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/founderphantom/zola-agent/tree/main/skills/media/songsee Command: npx skills add https://github.com/founderphantom/zola-agent --skill songsee-founderphantom
Analyzing audio files is time-consuming and manual; songsee automates the generation of spectrograms and multi-panel visualizations to accelerate music analysis, debugging, and documentation workflows.
Run songsee on an audio file to produce a visualization image.
High-intent search queries and answers about installing and using this skill.
You can generate a spectrogram from an audio file by running the songsee CLI, which automates visualization production and outputs an image for music analysis or production debugging.
You can visualize Mel, Chroma, MFCC, tempogram, and standard spectrograms from audio files to accelerate music analysis and document processing workflows.
You need Go to install the songsee CLI, while ffmpeg is optional and provides broader audio format support for generating spectrograms and feature visualizations.
You can compare multiple audio features side by side by creating multi-panel grids, allowing quick visual insights during music analysis and production debugging.
Documenting audio processing pipelines is best handled by generating multi-panel visualizations that combine spectrograms and features like MFCC and Chroma into a single output image.
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