# motion

> motion — zzombie04-motion. Use this tool when you need to create engaging motion graphics from text inputs, solving the problem of visualizing complex information in an interactive and dynamic way, with capabilities including re-prompting, self-scoring, motion blur, sound design, and word captions, and integrating with git for version control. It takes text as input and outputs a directed motion graphic, making it ideal for use cases like explainer videos, presentations, and social media content. This tool is particularly useful when you want to add a professional touch to your visual content.

Canonical page: https://skillsregistry.net/skills/zzombie04-motion  
JSON: https://api.skillsregistry.net/v1/skills/zzombie04-motion

## Description

말 한마디를 감독이 연출한 모션그래픽으로 — Claude·Codex·ChatGPT 스킬 + MCP + 렌더 엔진. One sentence to directed motion graphics: re-prompting, self-scoring, motion blur, sound design, word captions.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-10-09

## Source

- **Source listing:** [GitHub](https://github.com/ZZombie04/motion)

## 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": "zzombie04-motion"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zzombie04-motion` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zzombie04-motion/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
