Generate spectrograms and audio feature visualizations from audio files using the songsee CLI.
npx skills add https://github.com/wangqianCAI/OBI --skill songsee-wangqiancai
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/wangqianCAI/OBI/tree/main/skills/songsee Command: npx skills add https://github.com/wangqianCAI/OBI --skill songsee-wangqiancai
This Skill solves the difficulty of manually generating high-quality audio visualizations and feature analysis panels, which are essential for music production, sound design, and audio research.
Use the songsee skill to generate a multi-panel visualization for the audio file track.mp3 with spectrogram, mel, and chroma features.
High-intent search queries and answers about installing and using this skill.
Create a multi-panel visualization with spectrogram, mel, and chroma features by invoking the songsee skill on your audio file. It renders customizable audio feature grids for diverse analytical tasks.
Frequency range analysis identifies frequency imbalances and rhythmic patterns within an audio track. By adjusting time slices and visual styles, you can isolate specific spectral data for sound design.
Generate a multi-panel grid of visual features by configuring the songsee skill to render spectrogram, mel, and chroma panels simultaneously. This approach helps identify frequency imbalances before mixing.
You can visualize mel-spectrograms and chroma features alongside standard spectrograms in a multi-panel grid. This allows comprehensive analysis of frequency imbalances and rhythmic patterns for sound design.
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lllooollppGenerate spectrograms and feature-panel visualizations from audio files using the songsee CLI.
