# genpark-mesh-obj-reader-poly-triangulator-skill

> genpark-mesh-obj-reader-poly-triangulator-skill — alpha-park-genpark-mesh-obj-reader-poly-triangulator-skill. Use this tool when you need to process and triangulate 3D polygon meshes, particularly when working with Wavefront .OBJ files, to solve problems related to mesh optimization and geometric analysis. It takes in .OBJ files and outputs triangulated meshes, providing a key interface for 3D modeling and simulation applications. Utilize this skill in contexts where efficient mesh processing and geometric bounds calculation are crucial, such as game development, architectural visualization, or engineering simulations.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-mesh-obj-reader-poly-triangulator-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-mesh-obj-reader-poly-triangulator-skill

## Description

3D polygon mesh processor with Wavefront .OBJ parsing, ear-clipping fan triangulation, and geometric bounds.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-mesh-obj-reader-poly-triangulator-skill)

## 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": "alpha-park-genpark-mesh-obj-reader-poly-triangulator-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-mesh-obj-reader-poly-triangulator-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-mesh-obj-reader-poly-triangulator-skill/pull`

---
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
