Agent skill · AI & Agents

simpy

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill simpy --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 12 KB
Bundled scripts: yes
Path: skills/simpy/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# SimPy - Discrete-Event Simulation ## Overview SimPy is a process-based discrete-event simulation framework based on standard Python. Use SimPy to model systems where entities (customers, vehicles, packets, etc.) interact with each other and compete for shared resources (servers, machines, bandwidth, etc.) over time. **Core capabilities:** - Process modeling using Python generator functions - Shared resource management (servers, containers, stores) - Event-driven scheduling and synchronization - Real-time simulations synchronized with wall-clock time - Comprehensive monitoring and data collection ## When to Use This Skill Use the SimPy skill when: 1. **Modeling discrete-event systems** - Systems where events occur at irregular intervals 2. **Resource contention** - Entities compete for limited resources (servers, machines, staff) 3. **Queue analysis** - Studying waiting lines, service times, and throughput 4. **Process optimization** - Analyzing manufacturing, logistics, or service processes 5. **Network simulation** - Packet routing, bandwidth allocation, latency analysis 6. **Capacity planning** - Determining optimal resource levels for desired performance 7. **System validation

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Quick Start
  4. Basic Simulation Structure
  5. Resource Usage Pattern
  6. Core Concepts
  7. 1. Environment
  8. 2. Processes
  9. 3. Events
  10. Resources
  11. Resource Types Summary
  12. Quick Reference
  13. Common Simulation Patterns
  14. Pattern 1: Customer-Server Queue
Ships with 7 files
  • references/events.md
  • references/monitoring.md
  • references/process-interaction.md
  • references/real-time.md
  • references/resources.md
  • scripts/basic_simulation_template.py
  • scripts/resource_monitor.py
More from OpenClaw-Medical-Skills
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About this skill
What does the simpy skill do?

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill simpy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going