# genpark-matrix4x4-perspective-projection-pipeline-skill

> genpark-matrix4x4-perspective-projection-pipeline-skill — alpha-park-genpark-matrix4x4-perspective-projection-pipeline-skill. Use this tool when you need to perform 3D perspective projections and clipping transformations on objects in a graphical scene. It solves problems related to rendering and visualizing 3D models with realistic perspective views, taking in 4x4 matrix inputs and outputting transformed coordinates. Ideal for use in computer graphics, game development, and simulation applications where accurate perspective projections are required.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-matrix4x4-perspective-projection-pipeline-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-matrix4x4-perspective-projection-pipeline-skill

## Description

Homogeneous 4x4 matrix transformation pipeline with symmetrical perspective frustum projection and clipping.

## 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-matrix4x4-perspective-projection-pipeline-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-matrix4x4-perspective-projection-pipeline-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-matrix4x4-perspective-projection-pipeline-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-matrix4x4-perspective-projection-pipeline-skill/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
