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.
8.1
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0
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Data & Analytics
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Exceptional seaborn skill with comprehensive coverage of statistical visualization capabilities. The SKILL.md provides outstanding task knowledge with detailed explanations of plotting functions, semantic mappings, data structure requirements, and best practices. Structure is exemplary with clear categorization by plot type, distinction between axes-level and figure-level functions, and logical progression from basics to advanced patterns. The description accurately captures the skill's focus on statistical visualization with pandas integration. Novelty score reflects that while seaborn documentation exists, this skill synthesizes complex decision-making (choosing plot types, understanding interfaces, combining with matplotlib) that would require substantial token usage for a CLI agent to figure out independently. The inclusion of design philosophy, common patterns, troubleshooting, and the clear explanation of when to use different interfaces adds significant value beyond basic documentation lookup.
K-Dense-AI
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