# genpark-high-fidelity-motion-physics-video-generator-skill

> genpark-high-fidelity-motion-physics-video-generator-skill — alphaparkinc-genpark-high-fidelity-motion-physics-video-generator-skill. Use this tool when you need to generate high-fidelity motion and fluid videos with realistic physics simulations. It solves problems in video production, animation, and special effects by creating detailed and accurate motion sequences. The tool takes input parameters and produces high-quality video outputs, ideal for use cases requiring realistic physics-guided motion and fluid dynamics.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-high-fidelity-motion-physics-video-generator-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-high-fidelity-motion-physics-video-generator-skill

## Description

High-fidelity physics-guided motion and fluid video generator (Kling/Hailuo 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-high-fidelity-motion-physics-video-generator-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-high-fidelity-motion-physics-video-generator-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-high-fidelity-motion-physics-video-generator-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-high-fidelity-motion-physics-video-generator-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