Generate spectrograms and feature-panel visualizations from audio files using the songsee CLI.
npx skills add https://github.com/lehalpaul/agents --skill songsee-lehalpaul
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/lehalpaul/agents/tree/main/skills/songsee Command: npx skills add https://github.com/lehalpaul/agents --skill songsee-lehalpaul
This Skill helps users visualize audio data by generating spectrograms and other feature-panel visualizations, making complex audio information more accessible.
Generate a spectrogram for the audio file 'track.mp3'.
High-intent search queries and answers about installing and using this skill.
To generate an audio spectrogram, you can use a CLI tool that processes your audio file and outputs a visual representation of frequencies over time. This Skill leverages the songsee binary to create detailed spectrograms from supported formats.
You can visualize various audio formats using ffmpeg. Since this Skill relies on ffmpeg for audio processing, it supports any format ffmpeg can decode to generate spectrograms and feature-panel visualizations.
Yes, you can extract specific time slices from an audio track for visualization. The Skill offers detailed control over time slicing, allowing you to isolate and analyze specific segments of your audio data.
To create multi-panel visualizations for features like mel, chroma, and MFCC, the Skill generates a grid layout. This displays multiple audio feature panels simultaneously, making complex audio information more accessible.
Yes, you need the songsee binary installed to use this Skill. Additionally, ffmpeg is required to support the various audio formats processed during spectrogram and feature-panel generation.
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