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.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill seabornnpx skills add K-Dense-AI/scientific-agent-skills --skill seaborn -a claude-code -gnpx skills add K-Dense-AI/scientific-agent-skills --skill seaborn -a codex -ggemini skills install https://github.com/K-Dense-AI/scientific-agent-skills.git --path scientific-skills/seaborngh skill install K-Dense-AI/scientific-agent-skills seaborngit clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills /tmp/K-Dense-AI__scientific-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/K-Dense-AI__scientific-agent-skills/scientific-skills/seaborn ~/.claude/skills/seaborn # Claude Code
cp -R /tmp/K-Dense-AI__scientific-agent-skills/scientific-skills/seaborn ~/.agents/skills/seaborn # Codex, Cursor, Gemini CLI, Copilot, OpenCode