Generate spectrograms and feature panels from audio files via CLI.
npx skills add https://github.com/DotNetAge/mindx --skill songsee-dotnetage
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/DotNetAge/mindx/tree/main/skills/songsee Command: npx skills add https://github.com/DotNetAge/mindx --skill songsee-dotnetage
Visualizes audio input by producing spectrograms and related visual panels to replace manual audio analysis.
Run songsee track.mp3 to generate a spectrogram visualization immediately.
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram, run the command songsee track.mp3 to instantly visualize frequency spectra from your audio files.
Yes, you can generate feature panels for mel, chroma, loudness, and MFCC alongside spectrograms to streamline music analysis and research tasks.
No, this spectrogram visualization tool supports darwin and linux environments and requires the songsee binary to execute audio analysis commands.
The best way to analyze audio quality is by generating spectrograms and loudness feature panels, which replace manual audio analysis for production and QA tasks.
Yes, you can use CLI flags such as --viz and file inputs to customize spectrogram visualizations and feature panel generation for your audio analysis workflow.
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