Correlation Analysis

This handles correlation analysis for numerical data, measuring relationships between variables and detecting multicollinearity. You'd reach for it during exploratory data analysis, before building regression models, or when deciding which features to keep. It covers both linear and non-linear associations, which is handy since Pearson correlations alone miss a lot. The skill is part of aj-geddes' useful-ai-prompts collection that's passed security audits from Gen Agent Trust Hub, Socket, and Snyk. Straightforward utility for anyone doing feature engineering or trying to understand their dataset before modeling.