Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
How to install seaborn?
ai4protein/venusfactory2/seaborn
$npx -y skills add ai4protein/venusfactory2 --skill seabornInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ai4protein/venusfactory2" --skill "ai4protein/venusfactory2/seaborn"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ai4protein/venusfactory2" that are relevant to the current task. Run `npx skills add "https://github.com/ai4protein/venusfactory2"` and select the relevant skills, then follow their instructions.
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