Article Interpreter

Q: Why use Article Interpreter on TypingMind?

Because you install it once and use it with any model. Article Interpreter 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.

Q: How do I install Article Interpreter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chujianyun/skills/tree/main/skills/article-interpreter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Article Interpreter?

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.

Q: How many AI models can I use with Article Interpreter?

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

Q: Is the Article Interpreter AI skill free?

It is published on GitHub by chujianyun. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

Community

chujianyun

article-interpreter

文章解读助手。对用户提供的文章（URL、Markdown、PDF、粘贴文本）进行结构化解读，输出包含总览、关键要点、个人启发、批判性思考和延伸思考的 Markdown 报告。触发词：文章解读、解读文章、帮我解读、读一下这篇、分析这篇文章、article interpretation。

Overview

Publisher	chujianyun
Repository	`skills`
Skill name	`article-interpreter`
Stars	743
Forks	103
Bundled files	Instructions only
Links	Skill source Repository

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 chujianyun on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/chujianyun/skills/tree/main/skills/article-interpreter
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.

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/chujianyun/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/article-interpreter .claude/skills/article-interpreter

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Article Interpreter 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 Article Interpreter 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 Article Interpreter 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.

文章解读助手

适用场景

用户提供一篇文章（支持 URL、Markdown 文件路径、PDF、或直接粘贴的文本），希望获得结构化的深度解读报告。

输入处理

URL：使用 WebFetch 或 dokobot 抓取正文内容；如果是微信公众号链接，优先使用 wechat-article-extractor skill。
本地文件：使用 Read 工具读取 Markdown/TXT；PDF 文件使用 Read 工具（支持 PDF）或 opendataloader-pdf skill。
粘贴文本：直接使用用户消息中的文本。

输出格式

输出一份 Markdown 文件，结构如下：

markdown
# 文章解读：《{文章标题}》

> 来源：{来源链接或说明}  
> 解读时间：{当前日期}

---

## 一句话总览

{用一句话概括文章核心观点或结论，不超过 50 字}

---

## 关键要点

{分条目提炼文章中最重要的信息点，每条 1-3 句话，通常 4-8 条}

- **要点1**：……
- **要点2**：……
- **要点3**：……
- ……

---

## 对我的启发

{至少 3 条，围绕以下视角展开：}
- 一线大厂 Agent 工程师的实践视角
- 端到端提效：如何用文章中的方法/技术缩短从需求到交付的链路
- 新应用场景挖掘：文章揭示了哪些可以被 Agent/AI 解决的新场景
- 企业级 Skills 和知识库：对 Skills 设计、知识管理、团队协作的启示

每条启发需要结合文章具体内容，说明"是什么 → 为什么重要 → 怎么用"。

- **启发1**：……
- **启发2**：……
- **启发3**：……
- ……

---

## 批判性思考

{指出文章中可能存疑、论证不充分、或需要进一步验证的内容，通常 2-4 条}

- ……
- ……

---

## 延伸思考

{基于文章内容，提出几条值得进一步探索的问题或方向，通常 2-4 条}

- ……
- ……

执行步骤

获取文章内容：根据输入类型（URL / 文件路径 / 粘贴文本）获取全文。
通读理解：识别文章主题、核心论点、支撑论据、结论。
撰写解读报告：按上述模板逐节填写，确保：
- 总览精炼（一句话，不超过 50 字）
- 关键要点覆盖文章主干信息，不遗漏重要细节
- 启发部分必须结合用户关注方向（Agent 工程、端到端提效、新场景、企业级 Skills/知识库），不泛泛而谈
- 批判性思考需要有具体依据，不是为了批判而批判
- 延伸思考要有探索价值，指向可行动的方向
保存输出：将报告保存为 Markdown 文件到 outputs 目录，文件名格式 解读-{文章标题简写}.md。

质量标准

总览一句话要有信息量，避免"本文介绍了……"这种空泛句式
关键要点必须是文章的"硬核内容"，不是章节标题的复述
启发部分要体现"读完之后我能做什么"，不是"这篇文章很好"
批判性思考要具体指出哪里存疑、为什么存疑
延伸思考要指向可继续挖掘的方向，带有行动感

Pitfalls

不要把文章目录当作关键要点——要提炼信息，不是复述结构
启发部分最容易写成"这个技术很有前景"式的空话，必须落到具体场景和行动
批判性思考不是否定文章，而是标记需要验证的假设和可能的局限
如果文章较短（< 500 字），适当精简条目数量，不强凑条数

Verification

报告包含全部 5 个板块（总览、关键要点、启发、批判性思考、延伸思考）
启发部分 ≥ 3 条，且每条都关联到用户的关注方向
无空泛表述，每个条目都有具体内容支撑
Markdown 格式正确，可直接渲染

Frequently asked questions

What does the Article Interpreter AI skill do?

Why use Article Interpreter on TypingMind?

Because you install it once and use it with any model. Article Interpreter 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 Article Interpreter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chujianyun/skills/tree/main/skills/article-interpreter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Article Interpreter?

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 Article Interpreter?

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

Is the Article Interpreter AI skill free?

It is published on GitHub by chujianyun. 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.

View all

Tag Duplicate Prs Issues

openclaw

OrganizationPopular

Use gitcrawl to search duplicate OpenClaw PRs/issues, group related work in prtags, and sync duplicate state to GitHub.

Update Team Server

Update the operator-configured Team server through its canonical owner; trust native validation and acceptance without duplicate checks or schedulers.

Cloud Image Bake

Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.

Acp Router

Route plain-language requests for Claude Code, Cursor, Copilot, OpenClaw ACP, OpenCode, Gemini CLI, Qwen, Kiro, Kimi, iFlow, Factory Droid, Kilocode, or explicit ACP harness work into either OpenClaw…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

文章解读助手

适用场景

输入处理

输出格式

执行步骤

质量标准

Pitfalls

Verification

Frequently asked questions

Related AI Skills

Set up your own AI workspace now