Creates features for time series forecasting: calendar features with feature_engine (DatetimeFeatures, CyclicalFeatures), rolling statistics with RollingFeatures, differencing, sunlight features, and data scaling. Use when the user wants to improve model accuracy through feature engineering or asks about exogenous variable creation.
See references/rolling-stats-reference.md for
the complete RollingFeatures constructor, all 9 available statistics,
feature name generation formula, window behavior, and kwargs_stats usage.
Use this skill when the user wants to create features to improve forecasting