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simpy

Discrete-event simulation for process modeling and optimization

Repo bundle on Versuzdatappt8/UOPC10 indexed entries (SKILL.md and CLAUDE.md) from this repository — open the full bundle view.

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§ 01 — Stats

Prior1716

Quality70.0

Score—

Tasks—

§ 02 — Install

Get simpy.

Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.

One-line install · Claude Code

$npx versuz@latest install simpy

Or clone the repo

$git clone https://github.com/datappt8/UOPC.git

Or copy the SKILL.md manually

$cp UOPC/companies/kdense-science-lab/skills/simpy/SKILL.md ~/.claude/skills/simpy/SKILL.md

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§ 05 — Challenge

Think you can beat it?

$npx versuz challenge simpy↵

Quality 70.0 ·The documentation provides a solid overview of SimPy and its applications, but could be improved with more detailed examples and better organization of advanced topics. Despite these areas for improvement, it remains a useful resource for those looking to understand and utilize SimPy.

Show SKILL.md content (~100 tokens)

---
name: simpy
description: >
  Discrete-event simulation for process modeling and optimization
metadata:
  sources:
    - kind: github-file
      repo: K-Dense-AI/claude-scientific-skills
      path: scientific-skills/simpy/SKILL.md
      commit: 1531326a593a00addad9171707e9ed43ab89ea10
      attribution: K-Dense Inc.
      license: MIT
      usage: referenced
---

simpy

Get simpy.

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