Simplified Technical Chinese logo

Simplified Technical Chinese

Community
mzopedia
simplified-technical-chinese

用简明技术中文(STC)写或改写中文技术内容:操作步骤、安装部署、故障排查、接口和参数说明、技术概念解释、给人读的解释性回答。用户提到「简明技术中文」「STC」「受控中文」「像 ASD-STE100 那样写中文」「一词一义」时使用;用户要求把中文技术说明「写清楚」「别有歧义」时也可使用。不用于营销文案、叙事、法律原文和代码。

Overview

Publishermzopedia
Repositorysimplified-technical-chinese
Skill namesimplified-technical-chinese
Stars
76
Forks
4
Bundled files
14
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.

  • 14 bundled files

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

  • Open source

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

Installation

Install the Simplified Technical 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/mzopedia/simplified-technical-chinese/tree/main
  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/mzopedia/simplified-technical-chinese.git \
  .claude/skills/simplified-technical-chinese
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Simplified Technical 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 Simplified Technical 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 Simplified Technical 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.

简明技术中文

目标:读者读一遍就不会读错。做法:限制用词,限制句式,一句一事。

完整规则见 规范.md,词表见 词表.md。本文件只列最常用的部分。

模式

  • 常规模式(默认):执行全部【必须】规则和词表的自动检查条目。【建议】规则只在明显时处理。
  • 严格模式:用户说「严格」「全部规则」时,执行全部规则。

用户没有说明时用常规模式。

写之前先分类

  • 操作句:告诉读者做什么。放在编号列表里,动词开头,不超过 30 字。
  • 描述句:其他句子。不超过 40 字。

字数算法:每个汉字计 1,每个英文单词或数字串计 1,行内代码计 1,标点不计。

必须遵守的规则

词:

  • 一个概念全文只用一个词。不换同义词。(1.1)
  • 不用「进行」「加以」「作出」「予以」加动词。直接用动词。(1.4)
  • 不用没有数值的程度词:「很」「非常」「较」「大量」「尽快」「及时」。写数值或条件。(1.5)
  • 缩写首次出现写全称并括注,之后固定写法。(1.6)
  • 不用黑话:「赋能」「抓手」「闭环」「拉通」「沉淀」「痛点」「对标」「打法」「拉齐」。(1.7)

句:

  • 一句只说一件事。分号不能用来把两句并成一句。(2.2)
  • 操作句用祈使句,不写「请」「您」「用户需要」「应该」。(2.3)
  • 用主动句,写出执行者。「被」「由」「受到」是信号。(2.4)
  • 条件写在动作前面:「如果 X,做 Y」。不放句尾,不放括号。(2.5)
  • 一句最多一个否定。不用「不得不」「不无」「没有……不」。(2.6)
  • 名词前的修饰语不超过 15 字。连续的「的」是信号。(2.7)
  • 「其」「该」「此」「它」只指代上一句的对象。否则重复名词。不用「相关」「上述」。(2.8)
  • 不用反问、设问、感叹。(2.9)

段和步骤:

  • 一段一个主题,不超过 6 句。(3.1、3.2)
  • 步骤用编号列表,每个编号一个动作。不在正文里写「首先……然后……」。(3.3、4.1)
  • 不用「等」结尾的开放列举。列全,或写数量加「包括」。(3.5)
  • 警告独立成段,放在它针对的步骤之前,以「警告:」开头。(4.3)
  • 人的动作用祈使句;系统的行为写「系统 + 动词」。(4.4)
  • 前置条件单独列出,放在步骤之前。(4.5)

数字:

  • 阿拉伯数字,数字与单位之间空格。(5.1)
  • 不用数字后的「以上」「以下」「以内」。用「大于」「不小于」「不超过」,或「3 至 5(含)」。(5.2)
  • 不用相对时间:「明天」「近期」「稍后」「尽快」。用绝对日期或时长。(5.3)
  • 操作句里不用「约」「几」「若干」「多次」。写数值。(5.4)
  • 减少不用「倍」。百分比和百分点分开。(5.5)

标记:

  • 界面元素名用「」括起,和界面文字一致。(6.1)
  • 代码、命令、路径、字段名用代码标记,原样保留。(6.2)

词表速查

最常撞上的 20 条。完整表见 词表.md。

不用用
「进行安装」安装
「相关配置」写出具体对象
「支持 A、B 等」列全,或「包括 3 种:A、B、C」
「10 以上」大于 10 / 不小于 10
「大概 5 秒左右」5 秒
「尽快」30 分钟内
「如果失败的话」如果失败
「检查一下」检查
「出现错误的情况」出现错误时
「应该」「务必」「一定要」必须(强制)/ 建议(推荐)
「不得」「不准」禁止
「单击」「点按」点击
「删掉」「去掉」删除
「开启功能」启用功能
「打开程序」启动程序
「登出」退出登录
「键入」输入
「入参」「出参」参数 / 返回值
「登陆」「帐号」「缺省」登录、账号、默认
「报错」(名词)错误

一词一义里最常错的 4 个:

  • 打开:只用于文件、窗口、页面、连接。功能用「启用」,程序用「启动」。
  • 可以:只表示允许。能力用「支持」。
  • 问题:只表示疑问。故障、错误、缺陷分开写。
  • 更新:只用于数据和内容。版本用「升级」。

工作流程

  1. 判断内容类型。营销、叙事、法律原文不用本规范。

  2. 判断模式。默认常规模式。

  3. 写或改写。先定术语,再写句子。操作内容用编号列表。

  4. 如果结果保存成了文件,运行检查脚本:

    bash
    python3 tools/check.py 文件.md

    聊天回答这类没有编号步骤的内容,加 --kind 描述。

  5. 修复全部【必须】级别的发现。【建议】级别的按判断处理。

  6. 改写别人的文稿时,不改变事实、数字、条件和确定程度。原文说「可能」,改写后仍是「可能」。

不要做的事

  • 不改写代码、命令、路径、字段名、URL。
  • 不为了缩短句子而删除条件、例外和警告。
  • 不把「可能」改成「会」,不把「建议」改成「必须」。
  • 不给原文没有的数字、日期和时限编一个。缺信息时写「待确认」。
  • 不把规范用在它不适用的文体上。

检查脚本的局限

脚本只查句法。它查不出事实错误、术语选错、逻辑顺序错。它用「编号列表项」判断操作句,用「的」的数量近似长定语,用几个标记词近似被动句。所有发现都要人工确认。

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 Simplified Technical Chinese AI skill do?

用简明技术中文(STC)写或改写中文技术内容:操作步骤、安装部署、故障排查、接口和参数说明、技术概念解释、给人读的解释性回答。用户提到「简明技术中文」「STC」「受控中文」「像 ASD-STE100 那样写中文」「一词一义」时使用;用户要求把中文技术说明「写清楚」「别有歧义」时也可使用。不用于营销文案、叙事、法律原文和代码。

Why use Simplified Technical Chinese on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mzopedia/simplified-technical-chinese/tree/main. 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 Simplified Technical 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 Simplified Technical Chinese?

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

Is the Simplified Technical Chinese AI skill free?

Yes. It is published on GitHub by mzopedia 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇