Generate spectrograms and multi-panel audio feature visualizations from files.
npx skills add https://github.com/dawsonblock/HERMY --skill songsee-dawsonblock
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/dawsonblock/HERMY/tree/main/hermes-agent-2026.4.23/skills/media/songsee Command: npx skills add https://github.com/dawsonblock/HERMY --skill songsee-dawsonblock
Generate quick, visual analyses of audio by producing spectrograms and multi-panel feature visualizations from audio files, aiding music production, debugging, and documentation.
Process an audio file with songsee to generate a full visualization output.
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram from an audio file, use the songsee tool to process the input and render multi-panel feature visualizations for music analysis and production debugging.
Alongside a standard spectrogram, you can visualize mel spectrograms, chroma, MFCCs, and tempograms to inspect track structure and validate signal properties in multi-panel outputs.
You need MFCC or tempogram visualizations when validating signal properties and inspecting track structure during audio production debugging, providing multi-panel feature representations to identify issues.
Yes, you can use spectrogram visualizations for tutorials and reports by generating visual analyses of audio files, creating multi-panel feature outputs suitable for documentation workflows.
No, songsee does not require external dependencies to render chroma and mel spectrograms, operating independently to generate multi-panel audio feature visualizations from input files.
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