Zh Hant Converter logo

Zh Hant Converter

Organization
etherfunlab
zh-hant-converter

Use when Simplified Chinese text needs a Traditional Chinese version — internal team docs converted with opencc s2hk, or a product's Simplified Chinese UI copy mirrored into its Traditional Chinese locale — or when the user says 转繁, 同步繁体, or "convert to zh-Hant".

Overview

Publisheretherfunlab
Repositoryworkflow
Skill namezh-hant-converter
Stars
75
Forks
17
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by etherfunlab on GitHub. Read the source before you install it.

Installation

Install the Zh Hant Converter AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/etherfunlab/workflow/tree/main/skills/zh-hant-converter/agent/skills/zh-hant-converter
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/etherfunlab/workflow.git /tmp/workflow
mkdir -p .claude/skills
cp -r /tmp/workflow/skills/zh-hant-converter/agent/skills/zh-hant-converter .claude/skills/zh-hant-converter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zh Hant Converter in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Zh Hant Converter on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Zh Hant Converter is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

zh-Hans → zh-Hant

Traditional Chinese is never written from scratch here; it is converted from the Simplified source. Decide the mode first.

ModeForHow
Internalteam docs, text agents read while workingwrite Simplified first, then opencc -c s2hk; technical terms convert character by character from the Simplified term (软件 → 軟件, 数据 → 數據)
Externala product's Traditional Chinese pages or locale filesglyphs, then vocabulary: mainland terms → the terms a Taiwan or Hong Kong product UI uses

Internal mode keeps the Simplified terms because Simplified Chinese has far more technical text and its terms are nationally standardized, so agents work faster with them.

Steps

  1. Scope: convert only what this change touched: git diff -- {{ZH_HANS_PATHS}}.
  2. Change values and body text only. Keys, structure and order stay.
  3. Convert.
    • Internal: opencc -c s2hk -i <in> -o <out>, then check the whitelist below.
    • External: glyphs with opencc -c s2hk (Hong Kong) or opencc -c s2twp (Taiwan, which already swaps some vocabulary), then vocabulary. Common pairs (Taiwan): 信息→資訊, 视频→影片, 软件→軟體, 网络→網路, 界面→介面, 数据→資料, 登录→登入, 注销→登出, 设置→設定, 添加→加入, 访问→造訪, 恢复→復原, 通过→透過, 支持→支援, 默认→預設, 消息→訊息, 屏幕→螢幕, 点击→點按, 菜单→選單, 加载→載入. The list is not exhaustive; the test is the term a product UI in that market uses.
  4. Never converted, kept verbatim: {token} and other placeholders, link references, brand words ({{BRAND_TERMS}}), proper nouns, URLs, email addresses, code.
  5. Punctuation stays full-width; 「——」 stays.
  6. Verify:
    • {{ZH_HANT_CHECK_CMD}}
    • git diff -- {{ZH_HANT_PATHS}} shows only the target content changed.

Red lines

  • Never edit the Simplified source. Never touch other locales.
  • No polishing on the way. A tone problem is fixed in the Simplified source, then converted again.

Frequently asked questions

What does the Zh Hant Converter AI skill do?

Use when Simplified Chinese text needs a Traditional Chinese version — internal team docs converted with opencc s2hk, or a product's Simplified Chinese UI copy mirrored into its Traditional Chinese locale — or when the user says 转繁, 同步繁体, or "convert to zh-Hant".

Why use Zh Hant Converter on TypingMind?

Because you install it once and use it with any model. Zh Hant Converter is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Zh Hant Converter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/etherfunlab/workflow/tree/main/skills/zh-hant-converter/agent/skills/zh-hant-converter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Zh Hant Converter?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Zh Hant Converter?

As many as you like. As long as a model supports skills, you can use Zh Hant Converter with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Zh Hant Converter AI skill free?

Yes. It is published on GitHub by etherfunlab under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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