Generate spectrograms and feature panels from audio via the songsee CLI.
npx skills add https://github.com/geezerrrr/motive --skill songsee-geezerrrr
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/geezerrrr/motive/tree/main/Motive/Resources/Skills.bundle/songsee Command: npx skills add https://github.com/geezerrrr/motive --skill songsee-geezerrrr
Generating spectrograms and feature panels from audio used to require manual, time-consuming tooling; Songsee provides a streamlined CLI to produce visualizations directly from audio input.
Run songsee on an audio file to generate a spectrogram and feature panels.
High-intent search queries and answers about installing and using this skill.
You can generate audio spectrograms by running the songsee CLI on your input audio file. The command-line tool decodes local audio and produces visual spectrograms directly for quick analysis and sharing.
Yes, you can create multi-panel visualizations combining spectrograms, MFCCs, and chroma features from audio. The CLI generates combined feature panels to visualize comprehensive audio characteristics for music analysis.
Yes, the audio spectrogram CLI supports batch processing for multiple files. It can process single files or batches of audio inputs, making it applicable for broader media research and music analysis workflows.
You do not need any specific external dependencies to run the songsee binary for audio visualization. The skill operates independently without listed dependencies, requiring only local audio decoding capabilities.
You can customize audio visualization styles and output formats using optional CLI flags. The command-line tool accepts flags for viz, style, size, and format to adjust the generated spectrograms and feature panels.
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