Topic Extract

Community

bozhouDev

topic-extract

从各种内容来源（AI日报、新闻资讯、文章、URL、粘贴文本）中提取适合自媒体发布的选题，写入选题池。当用户说"提取选题"、"找选题"、"这里面有什么可以写的"、"从这个里面挑选题"、或使用 /选题提取时触发。。

Overview

Publisher	bozhouDev
Repository	`bozhou-skills`
Skill name	`topic-extract`
Stars	78
Forks	7
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 bozhouDev on GitHub. Read the source before you install it.

Installation

Install the Topic Extract 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/bozhouDev/bozhou-skills/tree/main/topic-extract
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/bozhouDev/bozhou-skills.git /tmp/bozhou-skills
mkdir -p .claude/skills
cp -r /tmp/bozhou-skills/topic-extract .claude/skills/topic-extract

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

Use it in TypingMind

Enable Topic Extract 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 Topic Extract 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 Topic Extract 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.

选题提取

从用户提供的内容中提取有价值的选题，写入选题池。

输入方式

支持三种输入，根据用户的实际操作自动判断：

粘贴文本 — 用户直接粘贴内容（日报输出、文章片段、新闻摘要等）
URL — 用户给一个链接，先用 WebFetch 抓取内容再分析
上下文内容 — 用户刚跑完其他 skill（如 /daily-ai-news），让你从当前对话中的输出提取

用户背景

用户是一名 Agent 开发工程师 / 全栈工程师，同时是 AI 自媒体博主（X 平台 2w+ 粉丝）。深度使用 Claude Code、熟悉 Agent 架构和 Skills 生态，有独立开发工具站的经验。

选题类型参考

基于对标账号分析，以下是值得关注的选题类型（按优先级排序）：

类型	说明	示例
AI 工具/产品深度解读	不是资讯转述，而是基于自己使用经验的深度评价	Claude Code 新功能实测、Cursor vs Claude Code 对比
实操教程/技巧	手把手教，解决具体问题	怎么用 Claude Code 搭 xxx、Skills 开发教程
AI GitHub 项目推荐	发现有意思的开源项目，用生动的方式介绍给大家——重点是"这个项目有什么特别的"和"为什么你应该关注"	"看到一个把古代制度架构搬到 AI Agent 的项目"、"这个项目让 xxx 变得超简单"
个人观点/判断	对 AI 领域某件事的独立思考，有自己的立场	"AI Agent 是不是伪需求"、"为什么我不看好 xxx"
AI 行业资讯解读	重要事件的背景分析和影响判断	OpenAI 发布 xxx 意味着什么、某公司融资背后的趋势
内容创作方法论	自媒体运营经验、写作技巧、平台玩法	X 算法怎么玩、公众号涨粉心得
翻译/搬运+解读	英文AI圈的优质内容，加上自己的解读	翻译某篇深度文章并加评论
平台观察	对 X、微信、小红书等平台趋势的观察	平台算法变化、生态趋势

不要提取的类型： 商业/创业鸡汤、产品推广/广告、生活碎片/日常、招聘信息。

提取标准

对每个潜在选题，快速判断两点：

有没有角度：用户能不能基于自己的 Agent 开发和全栈经验切入，而不是单纯转述信息
有没有受众：AI 开发者和 AI 工具爱好者是否会停下来看

宁可少提不要凑数——3 个好选题比 10 个平庸选题有用得多。

工作流程

读取用户提供的内容
提取有价值的选题，每个给出标题和大概内容（怎么写、切什么角度）
先展示给用户看，让用户删减或调整
用户确认后，保存原文并追加写入 选题中心/选题池.md 的 ## 待写 部分

如果 选题中心/ 目录或 选题池.md 文件不存在，先创建。

原文保存规则

每条选题必须保存来源原文内容，按原文长度区分处理方式：

原文 ≤800 字符：直接内联

markdown
- [ ] 选题标题
  - 大概内容: 一两句话描述这个选题可以怎么写、切什么角度
  - 相关: 来源链接或出处
  - 原文: 原文内容直接写在这里

原文 >800 字符：存素材文件 + Obsidian 内链

创建 选题中心/素材/{选题标题}.md，内容格式：

markdown
# {选题标题}

来源: {链接}
作者: @{username}
时间: {created_at}

---

{原文完整内容}

选题池中用 Obsidian 内链指向素材文件：

markdown
- [ ] 选题标题
  - 大概内容: 一两句话描述这个选题可以怎么写、切什么角度
  - 相关: 来源链接或出处
  - 原文: [[素材/{选题标题}]]

Frequently asked questions

What does the Topic Extract AI skill do?

Why use Topic Extract on TypingMind?

Because you install it once and use it with any model. Topic Extract 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 Topic Extract in TypingMind?

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

Which AI models can use Topic Extract?

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 Topic Extract?

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

Is the Topic Extract AI skill free?

It is published on GitHub by bozhouDev. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

选题提取

输入方式

用户背景

选题类型参考

提取标准

工作流程

原文保存规则

原文 ≤800 字符：直接内联

原文 >800 字符：存素材文件 + Obsidian 内链

Frequently asked questions

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