# genpark-controllable-character-motion-transfer-rigger-skill

> genpark-controllable-character-motion-transfer-rigger-skill — alphaparkinc-genpark-controllable-character-motion-transfer-rigger-skill. Use this tool when you need to transfer character motions and rig skeleton keypoints in a controllable manner, solving animation and character modeling problems. It takes in character models and motion data as inputs and outputs rigged characters with transferred motions. Ideal for use in animation, gaming, and virtual production contexts where precise character control is required.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-controllable-character-motion-transfer-rigger-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-controllable-character-motion-transfer-rigger-skill

## Description

Controllable character motion transfer and skeleton keypoint rigger (Viggle style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## 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/alphaparkinc/genpark-controllable-character-motion-transfer-rigger-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": "alphaparkinc-genpark-controllable-character-motion-transfer-rigger-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-controllable-character-motion-transfer-rigger-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-controllable-character-motion-transfer-rigger-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