Materials Simulation Skills
Description
[](https://github.com/heshamfs/materials-simulation-skills/actions/workflows/ci.yml) [](LICENSE) [](https://agentskills.io) [](https://www.python.org/)
Installation
claude install-skill https://github.com/HeshamFS/materials-simulation-skills README
Materials Simulation Skills
[](https://github.com/heshamfs/materials-simulation-skills/actions/workflows/ci.yml) [](LICENSE) [](https://agentskills.io) [](https://www.python.org/)
**Open-source [Agent Skills](https://agentskills.io) for computational materials science and numerical simulation workflows.**
Give your AI coding agent domain expertise in numerical methods, simulation best practices, and scientific computing -- without re-explaining the same concepts every session. Skills are portable across Claude Code, Codex, Gemini CLI, Cursor, VS Code Copilot, and [20+ other compatible tools](https://agentskills.io).
Table of Contents
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The Problem
Simulation engineers repeat the same guidance to AI agents constantly: *"Check the CFL number before running," "Use Richardson extrapolation for grid convergence," "Exit code 2 means bad input."* General-purpose agents lack the domain knowledge to run reliable numerical simulations without heavy hand-holding.
The Solution
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