概要
This skill provides a robust framework for comprehensive data preprocessing and feature engineering within your local environment. It equips Claude with standardized patterns for handling missing values, normalizing numeric features, and merging disparate datasets. By leveraging pandas, numpy, and scikit-learn, it enables complex operations like wide-to-long reshaping, categorical encoding, and outlier removal. It is an essential tool for developers and data scientists who need to prepare raw data for analysis or machine learning models across any LLM provider without relying on cloud-hosted transformation services.
