# OpenFOAM

> Use this tool when you need to simulate and analyze complex fluid dynamics problems, such as pipe flow, heat transfer, or multiphase flows, and require automated setup, solver selection, and post-processing capabilities. It takes in natural language inputs and flow scenario templates, and outputs simulation results, residual plots, and force coefficients. Ideal for use cases where computational fluid dynamics is necessary, such as engineering design, research, and optimization.

Canonical page: https://skillsregistry.net/skills/milsonson-openfoam  
JSON: https://api.skillsregistry.net/v1/skills/milsonson-openfoam

## Description

Enables AI assistants to create, configure, and run computational fluid dynamics cases through natural language interaction with OpenFOAM. Provides 13 predefined templates covering common flow scenarios (pipe flow, cavity flow, external flow, multiphase, heat transfer, compressible flows), intelligent solver selection based on flow physics, automated mesh generation strategies, and post-processing capabilities including residual plotting and force coefficient extraction. Features parallel computing support and a web portal for monitoring simulation progress.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/milsonson-openfoam)
- **Repository:** <https://github.com/milsonson/openfoam-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "milsonson-openfoam"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/milsonson-openfoam` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/milsonson-openfoam/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt