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The SimPy skill for Claude Code provides a robust framework for modeling discrete-event systems where entities like customers, vehicles, or data packets interact with shared resources over time. This skill enables developers and data scientists to simulate manufacturing lines, network traffic, logistics, and service operations using Python generator functions. By leveraging SimPy's process-based approach, users can optimize resource allocation, identify bottlenecks, and perform capacity planning through detailed monitoring and standardized implementation patterns.
