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.
주요 기능
01Process-based modeling using Python generator functions
02Integrated monitoring tools for resource utilization and data collection
03Advanced resource management including Priority and Preemptive resources
04324 GitHub stars
05Real-time simulation capabilities synchronized with wall-clock time
06Event-driven scheduling and multi-event synchronization (AllOf/AnyOf)
