Skill UI

Creates publication-ready scientific plots with multi-panel layouts, error bars, significance markers, and colorblind-safe palettes while exporting to journal formats via matplotlib/seaborn/plotly.

Seaborn builds on matplotlib to deliver dataset-aware statistical plots with attractive defaults, making it easy to explore distributions, variable relationships, and categorical comparisons in Python.

Produces publication-quality figures for ML/AI conference papers by extracting system components for Gemini-based architecture diagrams and turning experimental data into matplotlib/seaborn charts with auto-selected types, layouts, and highlights so visuals match the paper context.