# Simpy

> SimPy Discrete-Event Simulation

- Skill: `yuukias/simpy` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add yuukias/simpy`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yuukias/simpy/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: YuukiAS (https://skillmd.com/u/yuukias)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/yuukias/simpy

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# SimPy Discrete-Event Simulation

## Workflow

1. Define system boundary, entities, resources, queues, events, time units, warm-up, and output metrics.
2. Specify stochastic assumptions and distributions separately from process logic.
3. Implement small composable processes, resource requests, and monitors.
4. Run multiple replications with controlled random seeds and collect summary statistics.
5. Validate event traces against hand-calculated toy cases before scaling.
6. Run sensitivity/scenario analysis and report uncertainty across replications.

## References

- Read `references/simulation-workflow.md` for model structure, validation, and reporting checklists.
- Read `references/legacy-full-skill.md` for older SimPy patterns and examples.

## Validation

- Time units and resource capacities are explicit.
- A small deterministic or hand-checkable scenario passes before full simulation.
- Reported results include replication variability, not a single run only.