# Traditional Chinese Text Linting

> Use this tool when you need to enforce Traditional Chinese language standards and correct regional inconsistencies in text. It solves problems of vocabulary and punctuation errors, particularly those introduced by AI models favoring Simplified Chinese terminology. By inputting text and selecting from configurable profiles, it outputs standardized Traditional Chinese text, making it ideal for applications requiring Taiwan Ministry of Education compliance.

Canonical page: https://skillsregistry.net/skills/sysprog21-zhtw-linting  
JSON: https://api.skillsregistry.net/v1/skills/sysprog21-zhtw-linting

## Description

A linguistic linter for Traditional Chinese (zh-TW) that enforces Taiwan Ministry of Education standards on vocabulary, punctuation, and character shapes. It catches Mainland Chinese (zh-CN) regional drift before it reaches the user, addressing the problem of AI language models favoring Simplified Chinese terminology due to training data imbalances. Over 1000 vocabulary rules and 15 casing rules are compiled into the binary, covering cross-strait vocabulary normalization, full-width punctuation enforcement, CJK-Latin spacing, and non-standard character variant correction. Three configurable profiles (default, strict_moe, ui_strings) control which rules apply.

## Trust

- **Trust score (0–1):** 0.47
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sysprog21-zhtw-linting)
- **Repository:** <https://github.com/sysprog21/zhtw-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": "sysprog21-zhtw-linting"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sysprog21-zhtw-linting` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sysprog21-zhtw-linting/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