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The SimPy skill for Claude Code enables the creation and analysis of sophisticated discrete-event simulations within a Python environment. It is specifically designed to model systems where entities like customers, vehicles, or data packets interact with shared resources like servers, machines, or bandwidth over time. By utilizing Python generator functions for asynchronous process modeling, this skill allows users to perform deep capacity planning, queue analysis, and process optimization. It is a vital component for the Kosmos AI Scientist framework, facilitating autonomous discovery through virtual experimentation in fields like logistics, manufacturing, and network engineering.
