Convert audio files into spectrograms and feature panels via command line.
npx skills add https://github.com/ammonfife/sakima.co --skill songsee-ammonfife
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/ammonfife/sakima.co/tree/main/.claude/skills/songsee Command: npx skills add https://github.com/ammonfife/sakima.co --skill songsee-ammonfife
This Skill allows users to create visual representations of audio files, such as spectrograms and feature panels, which can be used for music analysis, audio editing, and more.
Generate a spectrogram of the audio file 'example.mp3' with the command: songsee example.mp3
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram from an audio file, run the command `songsee example.mp3` in your command-line interface. This converts the audio data into a visual spectrogram, allowing you to analyze the file's frequency content over time.
A feature panel in audio analysis is a visual format that represents specific audio characteristics extracted from a sound file. You need it when analyzing detailed aspects of audio data visually for music production or sound engineering.
Yes, songsee supports customizing audio visualizations by specifying the desired type of visualization, output style, and size. This allows you to tailor the generated spectrograms and feature panels to your specific analysis needs.
The best way to visually analyze audio files for music production is converting them into visual formats like spectrograms and feature panels. This enables detailed visualization of frequencies and time slices for precise audio editing.
Yes, you need the songsee tool installed to process and visualize audio files. It is a required dependency that handles the conversion of audio data into visual formats like spectrograms and feature panels via the command-line interface.
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