# Hanzi

> Use this tool when you need to learn the correct stroke order for Chinese characters, as it generates animated diagrams to help language learners master character writing. It accepts a Chinese character as input and returns an animation showing the correct stroke sequence, supporting both simplified and traditional Chinese. Ideal for language learners studying Chinese character writing, Hanzi provides a visual aid to supplement their learning and improve their writing skills.

Canonical page: https://skillsregistry.net/skills/viliandyleonardo-hanzi  
JSON: https://api.skillsregistry.net/v1/skills/viliandyleonardo-hanzi

## Description

Integrates the Hanzi Writer JavaScript library into Claude Desktop to render animated stroke order diagrams for Chinese characters. Accepts a character as input and returns an animation showing the correct stroke sequence, supporting both simplified and traditional Chinese. Designed as a supplementary tool for language learners studying Chinese character writing.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/viliandyleonardo-hanzi)
- **Repository:** <https://github.com/viliandyleonardo/hanzi-mcp>

## 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": "viliandyleonardo-hanzi"
    }
  }
}
```

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