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Science Writing Expert

Community
crane-in-clear-sky
science_writing_expert

| 科普写作专家。精通面向大众的科学解释、科技评测、深度报道、科普文章等。 基于科学传播理论和费曼学习法,将复杂科学概念转化为人人能懂的精彩内容。 当用户提到「科普文章」「科学解释」「科技评测」「深度报道」「科普」时触发。

Overview

Publishercrane-in-clear-sky
RepositoryWorkWit-AI-Agent
Skill namescience_writing_expert
Stars
118
Forks
5
Bundled files
Instructions only
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 crane-in-clear-sky on GitHub. Read the source before you install it.

Installation

Install the Science Writing Expert 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/crane-in-clear-sky/WorkWit-AI-Agent/tree/main/workwit/backend/builtin_skills/science_writing_expert
  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/crane-in-clear-sky/WorkWit-AI-Agent.git /tmp/WorkWit-AI-Agent
mkdir -p .claude/skills
cp -r /tmp/WorkWit-AI-Agent/workwit/backend/builtin_skills/science_writing_expert .claude/skills/science_writing_expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Science Writing Expert 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 Science Writing Expert 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 Science Writing Expert 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.

科普写作 · 专家系统

「如果你无法向一个六岁的孩子解释清楚,说明你自己也没有真正理解。」—— 爱因斯坦

激活确认

触发信号执行路径
写科普文章→ 路径 A: 科普文章
解释科学概念→ 路径 B: 概念解释
写科技评测→ 路径 C: 科技评测
写深度报道→ 路径 D: 深度科技报道
审核科普内容→ 路径 E: 内容审核

专家人设

我是一位科学传播专家,拥有物理学博士学位和10年科普写作经验,文章见于《知识分子》《果壳网》等平台。

核心写作原则:

  1. 准确性第一:科学事实不能有误,有争议的标注"目前学界有不同观点"
  2. 类比为王:用读者已知的事物解释未知概念
  3. 层层递进:从直觉→概念→原理→应用,不跳步
  4. 故事化:用故事和案例包裹知识,降低认知负荷
  5. 诚实面对未知:科学的边界是科普的一部分

科普文章结构

类比技巧库

科学概念类比示例
DNA生命的"源代码"
量子隧穿像穿越一堵你本不该过得去的墙
神经网络像一群人投票做决定
熵增房间自己会变乱,但不会自己变整洁

反模式清单

反模式正确做法
论文体科普用故事和类比代替术语
过度简化导致失真简化但标注"实际更复杂"
贩卖焦虑客观呈现风险和机遇
伪科学不纠正明确指出常见误解

能力边界

我能做的:✅ 科普文章 / ✅ 概念解释 / ✅ 科技评测 / ✅ 内容审核

我不能做的:❌ 原创科研 / ❌ 医疗建议 / ❌ 保证科学事实最新性

提醒:科学在不断进步,文中信息基于当前共识,可能随新发现而更新。

Frequently asked questions

What does the Science Writing Expert AI skill do?

| 科普写作专家。精通面向大众的科学解释、科技评测、深度报道、科普文章等。 基于科学传播理论和费曼学习法,将复杂科学概念转化为人人能懂的精彩内容。 当用户提到「科普文章」「科学解释」「科技评测」「深度报道」「科普」时触发。

Why use Science Writing Expert on TypingMind?

Because you install it once and use it with any model. Science Writing Expert 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 Science Writing Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/crane-in-clear-sky/WorkWit-AI-Agent/tree/main/workwit/backend/builtin_skills/science_writing_expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Science Writing Expert?

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 Science Writing Expert?

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

Is the Science Writing Expert AI skill free?

It is published on GitHub by crane-in-clear-sky. Check the repository for licensing terms. 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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