Generate spectrograms and audio feature visualizations from audio files.
npx skills add https://github.com/kngender5/hermes --skill songsee-kngender5
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/kngender5/hermes/tree/main/skills/media/songsee Command: npx skills add https://github.com/kngender5/hermes --skill songsee-kngender5
This Skill provides a command-line interface for generating spectrograms and audio feature visualizations, simplifying audio analysis tasks.
Generate a spectrogram for 'track.mp3' using songsee.
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram for an audio file, use the songsee CLI tool to create visual representations of audio frequencies directly from your terminal.
You can visualize various audio features for audio analysis, including mel, chroma, and MFCC visualizations, to analyze specific characteristics of your audio files.
You need the songsee CLI tool to analyze audio files, and ffmpeg is optionally required to process and support additional audio formats beyond the defaults.
Yes, generating spectrograms and audio feature visualizations is suitable for debugging synthesis and documenting audio processing pipelines for musicians and audio engineers.
The best way to visualize audio frequencies from an mp3 file is by running the songsee CLI tool, which generates detailed spectrogram visualizations for audio analysis tasks.
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