What problem does it solve? Analyzing audio content visually requires specialized tooling; this Skill turns audio files into spectrograms and multi-panel feature visualizations (mel, chroma, MFCC, and more) with a single CLI command, making audio structure, pitch, tempo, and onsets inspectable as images. ## Core Features & Use Cases - Spectrogram Generation: Render standard or mel-scaled spectrograms from WAV and MP3 files, with ffmpeg support for other formats. - Multi-Panel Feature Grids: Combine up to nine visualization types (chroma, HPSS, self-similarity, loudness, tempogram, MFCC, flux) into a single image. - Flexible Output Control: Adjust color palettes, image dimensions, FFT window/hop size, frequency ranges, and time slices. - Use Case: Compare two synthesized audio outputs by generating side-by-side mel spectrograms, then inspect the images with a vision model to verify the synthesis pipeline. ## Quick Start Ask the assistant to generate a mel spectrogram of your audio file, for example: create a spectrogram of track.mp3 and save it as spectrogram.png.
