Generate spectrograms and audio feature visualizations from audio files via CLI.
npx skills add https://github.com/perasyudha/Nyxora --skill songsee-perasyudha
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/perasyudha/Nyxora/tree/main/packages/core/playbooks/media/songsee Command: npx skills add https://github.com/perasyudha/Nyxora --skill songsee-perasyudha
High-intent search queries and answers about installing and using this skill.
Run songsee with the audio file as input, for example songsee track.mp3 -o spectrogram.png. WAV and MP3 are decoded natively, and the output can be saved as PNG or JPG.
songsee supports nine visualization types: spectrogram, mel, chroma, hpss, selfsim, loudness, tempogram, mfcc, and flux. Pass them as comma-separated values to the --viz flag to render multiple panels in a single grid image.
WAV and MP3 are decoded natively by songsee. For other formats, you need ffmpeg installed, which songsee uses to decode additional audio formats.
Use the --start and --duration flags to slice the audio by time, for example songsee track.mp3 --start 12.5 --duration 8 to render an 8-second segment starting at 12.5 seconds.
Yes, pipe audio data with a dash as the input, such as cat track.mp3 | songsee - --format png -o out.png. This is useful for chaining songsee into shell-based audio processing pipelines.
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