Generate spectrograms and multi-panel audio feature visualizations from audio files.
npx skills add https://github.com/rnben/hermes-skills --skill songsee-rnben
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/rnben/hermes-skills/tree/main/plugins/media-skills/skills/songsee Command: npx skills add https://github.com/rnben/hermes-skills --skill songsee-rnben
Visualize audio data by generating spectrograms and multi-panel feature visualizations to aid analysis, debugging, and documentation of audio workflows.
Run songsee on an audio file to generate a multi-panel visual analysis.
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram from an audio file, run the songsee CLI on the file to automatically extract and plot audio features into a multi-panel visual layout for analysis.
Yes, you can visualize MFCC, chroma, and mel features side-by-side by generating multi-panel layouts that compare different audio analyses simultaneously for comprehensive documentation.
Yes, the songsee CLI must be installed and accessible in your execution environment to process audio files and generate multi-panel audio feature visualizations.
Analyzing audio features for music production debugging is best achieved by generating spectrograms and multi-panel visualizations, providing visual insight that accelerates understanding of audio workflows.
Yes, audio feature visualization is highly effective for podcast analysis and sound design workflows, applying visual insight to accelerate understanding of audio data and streamline documentation.
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