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The snakemake-compact skill provides a standardized framework for building scalable bioinformatics and data processing pipelines. It enforces a clean code philosophy by keeping Snakefiles minimal and moving complex logic into dedicated Python modules. This approach improves readability, simplifies debugging, and enhances reproducibility by utilizing named inputs/outputs, configuration-driven parameters, and robust shell quoting. It is particularly useful for researchers and developers managing high-throughput omics data or complex multi-step computational workflows.