Individual skill

simpy

Builds, inspects, tests, and analyzes bounded process-based discrete-event simulations with SimPy. Use for event scheduling, resource queues, interrupts, monitoring, independent replications, warm-up, and reproducible output analysis.

skills/simpy/SKILL.md

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Repository stars (not skill ratings): 56,660
Repository last updated: Nov 9, 2026
License: MIT

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SKILL.mdcore · 14,395 bytes
SKILL.mdcore · 14,395 bytes
SKILL.mdcore · 14,395 bytes
SKILL.mdcore · 14,395 bytes
SKILL.mdcore · 14,395 bytes
SKILL.mdcore · 14,395 bytes
SKILL.mdcore · 14,395 bytes
SKILL.mdcore · 14,395 bytes
SKILL.mdcore · 14,395 bytes
SKILL.mdcore · 14,395 bytes
references/cli-guide.mddoc · 9,534 bytes
references/events.mddoc · 7,710 bytes
references/monitoring.mddoc · 8,960 bytes
references/process-interaction.mddoc · 7,719 bytes
references/real-time.mddoc · 5,551 bytes
references/resources.mddoc · 8,817 bytes
references/simulation-methodology.mddoc · 11,962 bytes
references/sources.mddoc · 13,046 bytes
scripts/_common.pyruns · 15,389 bytes
scripts/basic_simulation_template.pyruns · 14,482 bytes
scripts/bounded_queue_scenario.pyruns · 3,609 bytes
scripts/event_trace_summary.pyruns · 11,178 bytes
scripts/replication_runner.pyruns · 6,411 bytes
scripts/resource_monitor.pyruns · 16,673 bytes
scripts/validate_simulation_config.pyruns · 3,679 bytes

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# SimPy

## Scope

Use this skill for process-based discrete-event models where active entities yield
events and contend for resources: queues, production systems, logistics, networks,
service operations, inventory, and other event-driven systems.

SimPy supplies an event scheduler and modeling primitives. It does **not** choose a
scientifically valid conceptual model, input distribution, warm-up, run length,
replication count, estimand, or causal interpretation. Treat those as simulation-study
methodology, not SimPy API behavior.

## Current release and installation