SimPy (Claude Skill)
Process-based discrete-event simulation framework in Python.
| Type | Claude Skill |
| Supplier | K-Dense Inc. (community OSS) |
| Availability | GA — part of the actively maintained K-Dense scientific-agent-skills collection |
| Pricing | Free / OSS (MIT) |
| Capabilities | Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool |
How to install
- Also packaged in the SciAgent-Skills collection (jaechang-hits (community OSS, CC BY 4.0)): clone
jaechang-hits/SciAgent-Skillsand run/plugin install sciagent-skillsin Claude Code (or copyskills/scientific-computing/simpy-discrete-event-simulationinto~/.claude/skills/). - Claude Code / Claude.ai — Skills CLI (recommended):
npx skills add K-Dense-AI/scientific-agent-skillsInstalls the K-Dense collection; enable the
simpyskill when prompted. Works across Claude Code, Cursor, and Codex via the Agent Skills spec (requires Node ≥ 18). - Claude Code / Claude Desktop — manual clone:
git clone https://github.com/K-Dense-AI/scientific-agent-skills cp -r scientific-agent-skills/skills/simpy ~/.claude/skills/Project-scoped alternative: copy into
.claude/skills/instead of~/.claude/skills/. The skill declares its own Python dependencies in itsSKILL.md; install them (the K-Dense skills generally useuv/pip) when prompted on first use.
What it does
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.
Primary use cases: 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.
Notes
Distributed as a SKILL.md (plus code examples) in the K-Dense collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: MIT. The skill name to enable after install is simpy.
Sources
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