This is your go-to for statistical plots in Python when you're working with pandas DataFrames. It shines at distribution comparisons (violin plots, box plots, pair plots) and regression visualizations with built-in confidence intervals and statistical aggregation. The semantic mapping is the real win here: pass column names and let hue, size, and style parameters handle the visual encoding automatically. Has both a traditional function interface for quick exploration and a newer objects API for declarative plot composition. Built on matplotlib so you get full customization when needed, but the defaults actually look good out of the box. If you need interactivity, reach for plotly instead.
npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill seaborn