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Plain Chinese

Community
ChangWenC
plain-chinese

用简明中文写解释、步骤和总结:一句一事、一词一义、主动句、不铺垫,内容一点不删。写中文的技术解释、操作步骤、学习笔记、报告,或者解释 AI/agent 的产出时使用。用户说「说人话」「写清楚点」「太绕了」「看不懂」「简明中文」「用 STE 的写法」「改得好懂一点」时也使用。受 ASD-STE100 启发,不是它的中文版。

Overview

PublisherChangWenC
Repositoryunderstanding-ladder
Skill nameplain-chinese
Stars
113
Forks
2
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Plain Chinese 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/ChangWenC/understanding-ladder/tree/main/skills/plain-chinese
  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/ChangWenC/understanding-ladder.git /tmp/understanding-ladder
mkdir -p .claude/skills
cp -r /tmp/understanding-ladder/skills/plain-chinese .claude/skills/plain-chinese
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plain Chinese 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 Plain Chinese 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 Plain Chinese 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.

简明中文(plain-chinese)

这个 skill 规定「怎么写」:用一套显式规则写中文,让读者读一遍就懂。

背景:英文有 ASD-STE100(简化技术英语)。在提示里写一句「in ASD-STE100」,模型就会调出整套写法。中文没有这样一个名字。所以本 skill 把规则写成清单。

核心原则只有一条:简单指语言简单,不指内容变少。 改写后可以比原文长。

什么时候用

  • 写中文的技术解释、概念说明、操作步骤。
  • 写学习笔记、复习材料、报告、总结。
  • 解释 AI 或 agent 的产出:它做了什么、为什么、结果在哪。
  • 用户要求改写一段难懂的中文。

不用于:小说、文案、演讲稿、需要个人语气的文字。这些文字靠语气,本 skill 会把语气写平。

规则

词

  1. 一个术语只有一个意思。 术语第一次出现时给一句定义。之后一直用同一个词,不换同义词。
    • 不这样写:先叫「缓存」,后面又叫「快取」「暂存区」。
  2. 用具体的词,不用比喻和黑话。 写出真正的动作和对象。
    • 不这样写:「把这个坑兜住」。这样写:「在输入为空时返回默认值」。
  3. 动词直接用。 不写「进行」「加以」「做出」加动词。
    • 不这样写:「对数据进行清洗」。这样写:「清洗数据」。
  4. 数字带单位,范围写清端点。 写「大于 10」「不小于 10」,不写「10 以上」。不写「大概」「一些」「若干」,除非原文本来就不确定。

句

  1. 一句只讲一件事。 描述句尽量不超过 25 个字。超过时拆成两句。
  2. 写清谁做什么。 用主动句,主语明确。
    • 不这样写:「数据被处理后返回」。这样写:「服务器处理数据,再把结果返回给客户端」。
  3. 用肯定句。 少用否定,不用双重否定。
    • 不这样写:「不是不能用」。这样写:「可以用,但有一个条件」。
  4. 条件放在动作前面。 先写「如果……」,再写「就……」。
  5. 步骤用编号列表。 每步以动词开头,一步只做一个动作,尽量不超过 20 个字。不写「请」「您」「用户需要」。
  6. 每个代词都要能找到它指的东西。 「它」「这」「该」有歧义时,换回名词。

段

  1. 一段只讲一个主题,不超过 5 句。 第一句写结论,后面写理由和细节。
  2. 3 项以上的并列内容用列表。 不把一串条件塞进一句。

删掉的东西

  1. 删掉铺垫、客套和填充语。 例如:
    • 「值得注意的是」「需要指出的是」「总的来说」「众所周知」
    • 「好问题!」「希望这对你有帮助」
    • 「非常」「极其」「强大的」「无缝」这类不带信息的形容词
    • 把结论再说一遍的结尾段

必须保留的东西

  1. 内容不删。 每个事实、数字、条件、例外、限定词都要留下。原文说「通常」,改写后也要说「通常」。改写只拆句子、换说法、调顺序。
  2. 不改的东西: 代码、命令、文件路径、报错原文、引文、专有名词、公式。

强度

  • 常规(默认): 执行全部规则。句长是目标,不是硬上限。读起来像人写的。这就是 Karpathy 说的「80% of the way to ASD-STE100」。
  • 严格: 用户说「严格」「按 STE 来」时使用。句长按硬上限执行。每个术语都给定义。全文不用比喻。

怎么改写

  1. 先读完原文,列出它要传达的每个事实和条件。
  2. 逐句检查。找出每句违反了哪条规则。
  3. 改写这一句。对照第 1 步的清单,确认没有丢东西。
  4. 改完整段后再读一遍。拆句时容易产生新的「它」和新的长句。

难懂的内容可以先用英文按 STE 思路写骨架,再按上面的规则转成中文。英文 STE 的约束更成熟,模型也更熟悉。

输出格式

  • 默认只输出改写后的文字。不加开场白,不说明用了什么规则。
  • 如果改写时为了不丢内容而保留了长句,在末尾加一行:保留原样:……(原因)。
  • 用户要求「对照」「改了哪些」「为什么这么改」时,输出表格:原句 | 改写 | 依据的规则编号。

交付前自检

  • 每句只讲一件事吗?有没有超过 25 字还能拆的句子?
  • 同一个东西是不是始终用同一个词?
  • 每句的主语都清楚吗?
  • 有没有删掉原文的事实、数字、条件或「通常」「可能」这类限定词?
  • 有没有残留「值得注意的是」这类填充语?

更多改写示例见 references/examples.md。

限制

本 skill 让文字好懂,不让文字正确。原文有错,改写后的错误会更容易被相信。需要准确性的内容,另外核对事实。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Plain Chinese AI skill do?

用简明中文写解释、步骤和总结:一句一事、一词一义、主动句、不铺垫,内容一点不删。写中文的技术解释、操作步骤、学习笔记、报告,或者解释 AI/agent 的产出时使用。用户说「说人话」「写清楚点」「太绕了」「看不懂」「简明中文」「用 STE 的写法」「改得好懂一点」时也使用。受 ASD-STE100 启发,不是它的中文版。

Why use Plain Chinese on TypingMind?

Because you install it once and use it with any model. Plain Chinese 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 Plain Chinese in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ChangWenC/understanding-ladder/tree/main/skills/plain-chinese. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Plain Chinese?

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 Plain Chinese?

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

Is the Plain Chinese AI skill free?

Yes. It is published on GitHub by ChangWenC 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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