What problem does it solve? Analyzing audio content visually requires specialized tooling; this Skill turns audio files into spectrograms and feature visualizations (mel, chroma, MFCC, and more) with a single CLI command, making audio structure, pitch, tempo, and loudness 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, spectral flux) into a single image. - Flexible Output Control: Adjust color palettes, image dimensions, FFT window/hop size, frequency ranges, and time slices, outputting PNG or JPG. - 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 Generate a mel spectrogram from the attached audio file 'track.mp3' and save it as a PNG image.
