# genpark-cross-embodiment-robotic-brain-kinematics-planner-skill

> genpark-cross-embodiment-robotic-brain-kinematics-planner-skill — alphaparkinc-genpark-cross-embodiment-robotic-brain-kinematics-planner-skill. Use this tool when you need to plan and coordinate robotic movements across different embodiments, solving problems of kinematic compatibility and motion planning. It takes in robotic embodiment parameters and desired motion inputs, outputting optimized kinematic plans. Ideal for use in robotic development and simulation contexts where cross-embodiment movement planning is required.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-cross-embodiment-robotic-brain-kinematics-planner-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-cross-embodiment-robotic-brain-kinematics-planner-skill

## Description

Cross-embodiment robotic brain kinematics planner (Skild AI 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-cross-embodiment-robotic-brain-kinematics-planner-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-cross-embodiment-robotic-brain-kinematics-planner-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-cross-embodiment-robotic-brain-kinematics-planner-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-cross-embodiment-robotic-brain-kinematics-planner-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