# Charakuru

> Charakuru — zenyrae123-charakuru. Use this tool when you need to convert 2D character illustrations into 3D VRM avatars, solving the problem of manual modeling and texturing. It takes a 2D character illustration as input and outputs a fully rigged 3D VRM avatar, streamlining the character creation process. Ideal for artists and developers looking to quickly create interactive 3D characters for virtual environments.

Canonical page: https://skillsregistry.net/skills/zenyrae123-charakuru  
JSON: https://api.skillsregistry.net/v1/skills/zenyrae123-charakuru

## Description

Turn one character illustration into a VRM avatar by sharing the work with an AI agent.

## 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:** 2026-11-07

## Source

- **Source listing:** [GitHub](https://github.com/zenyrae123/Charakuru)

## 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": "zenyrae123-charakuru"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zenyrae123-charakuru` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zenyrae123-charakuru/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
