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, tempograms—so you can inspect frequency content, tempo, and structure at a glance. ## Core Features & Use Cases - Multi-Panel Visualizations: Render up to nine visualization types (spectrogram, mel, chroma, hpss, self-similarity, loudness, tempogram, MFCC, spectral flux) as a grid in a single image. - Flexible Input and Output: Accepts WAV and MP3 natively (other formats via ffmpeg), reads from stdin, and exports PNG or JPG with custom dimensions, color palettes, and time slices. - Use Case: A music producer debugging a synthesis pipeline can generate a mel spectrogram and spectral flux plot of the output, then feed the image to a vision model to verify the expected harmonic structure. ## Quick Start Generate a spectrogram from the file track.mp3 and save it as a PNG image for inspection.
