Generate spectrograms and multi-panel audio feature visualizations from audio files.
npx skills add https://github.com/math-inc/OpenGauss --skill songsee-math-inc
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/math-inc/OpenGauss/tree/main/skills/media/songsee Command: npx skills add https://github.com/math-inc/OpenGauss --skill songsee-math-inc
Generate spectrograms and multi-panel audio feature visualizations from audio files.
Run songsee track.mp3 to generate a multi-panel visualization.
High-intent search queries and answers about installing and using this skill.
Generate multi-panel spectrograms by running the songsee CLI script on an audio file, such as executing `songsee track.mp3` in your terminal to render visualizations.
You can visualize spectrogram, mel, chroma, and MFCC audio features together in a single multi-panel view to analyze pitch, tempo, and timbre changes across tracks.
FFmpeg is optional for non-WAV/MP3 audio formats, but you must have Go installed to build and run the CLI script to generate the spectrogram visualizations.
Debug music production pipelines by visualizing tempo, pitch, and timbre changes across tracks using a CLI-first workflow to render multi-panel spectrograms for quick analysis.
Yes, you can use the CLI to generate multi-panel audio feature visualizations suitable for visual documentation tasks and quick audio analysis from the terminal.
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