seaborn-statistical-plots
byjaechang-hits· 57 skills
Statistical visualization on matplotlib with native pandas support. Auto aggregation, CIs, grouping for distributions (histplot, kdeplot), categorical (boxplot, violinplot), relational (scatterplot, lineplot), regression (regplot, lmplot), matrix (heatmap, clustermap), grids (pairplot, FacetGrid). Use for quick statistical summaries; matplotlib for fine control; plotly for interactive HTML.
How to install seaborn-statistical-plots?
jaechang-hits/sciagent-skills/seaborn-statistical-plots
$npx -y skills add jaechang-hits/sciagent-skills --skill seaborn-statistical-plotsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jaechang-hits/sciagent-skills" --skill "jaechang-hits/sciagent-skills/seaborn-statistical-plots"` 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/jaechang-hits/sciagent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jaechang-hits/sciagent-skills"` and select the relevant skills, then follow their instructions.
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