概要
This skill equips Claude with deep knowledge of the Polars ecosystem, enabling it to write optimized, expression-based data pipelines for both Python and Rust. It focuses on maximizing performance through lazy evaluation, streaming processing for large-scale datasets, and specialized time-series analysis. Whether you are migrating from legacy pandas codebases or building low-latency financial systems, this skill provides the native patterns, anti-patterns, and best practices needed to leverage Polars' multi-threaded engine and Apache Arrow backend effectively.
