Generates spectrograms and multi-feature visualizations from audio files via CLI.
npx skills add https://github.com/DarkArty07/Aether-Agents --skill songsee-darkarty07
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/DarkArty07/Aether-Agents/tree/main/home/skills/media/songsee Command: npx skills add https://github.com/DarkArty07/Aether-Agents --skill songsee-darkarty07
This Skill eliminates the tedious manual work of creating audio spectrograms and feature visualizations for analysis, debugging, or audio pipeline documentation, saving you hours of specialized tooling setup and manual processing.
Use the songsee skill to generate a multi-panel visualization grid of spectrogram, mel, chroma, and MFCC features from the attached audio file 'track.mp3' and save it to 'audio_analysis.png'.
High-intent search queries and answers about installing and using this skill.
To generate an audio spectrogram, use the songsee CLI tool to process your MP3 file and output a visualization image without requiring specialized tooling setup.
For music analysis, you can visualize standard spectrograms, mel-scaled spectrograms, chroma features, MFCCs, and 6 other audio features using a single CLI command.
Yes, you need optional ffmpeg support to process non-WAV/MP3 audio formats, while the core songsee CLI tool itself must be installed via Go.
Yes, you can combine multiple visualization types into a single multi-panel grid to perform comparative analysis of spectral, timbral, and rhythmic audio features.
You can slice audio by specifying a time range and adjusting FFT parameters within the songsee CLI to render customizable, time-sliced visualization outputs.
The best way to debug an audio processing pipeline is generating multi-feature visualizations to inspect spectral changes, allowing audio engineers to quickly identify synthesis output anomalies.
SethyPagnaGenerate audio spectrograms and feature visualizations from WAV and MP3 files.
kevinnftGenerate spectrogram, Mel, and MFCC visualizations from audio files.
guccangGenerate spectrograms and feature visualizations from audio files.
lxt070409Convert audio files into spectrograms and Mel, Chroma, and MFCC features via CLI.
