What problem does it solve? Analyzing audio content typically requires opening a DAW or writing custom signal-processing code. This Skill turns any audio file into visual representations—spectrograms, mel scales, chroma, MFCC, and more—using a single CLI command, making audio structure inspectable at a glance. ## 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 Visualization Grids: Combine up to nine visualization types (chroma, HPSS, self-similarity, loudness, tempogram, MFCC, flux) into a single image. - Time Slicing and Styling: Extract specific time ranges with --start/--duration and customize palettes, dimensions, and FFT parameters. - Use Case: Compare two audio synthesis outputs by generating side-by-side mel spectrograms, then feed the images to a vision model for automated analysis. ## Quick Start Ask the assistant to generate a mel spectrogram of your audio file and save it as a PNG image.
