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Content Engine

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xu-xiang
content-engine

为X、LinkedIn、TikTok、YouTube、新闻通讯和跨平台重新利用的多平台活动创建平台原生内容系统。适用于当用户需要社交媒体帖子、帖子串、脚本、内容日历,或一个源资产在多个平台上清晰适配时。

Overview

Publisherxu-xiang
Repositoryeverything-claude-code-zh
Skill namecontent-engine
Stars
1.9K
Forks
318
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xu-xiang on GitHub. Read the source before you install it.

Installation

Install the Content Engine 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.
  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/xu-xiang/everything-claude-code-zh.git /tmp/everything-claude-code-zh
mkdir -p .claude/skills
cp -r /tmp/everything-claude-code-zh/docs/zh-CN/skills/content-engine .claude/skills/content-engine
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Engine 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 Content Engine 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 Content Engine 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.

内容引擎

将一个想法转化为强大的、平台原生的内容,而不是到处发布相同的东西。

何时激活

  • 撰写 X 帖子或主题串时
  • 起草 LinkedIn 帖子或发布更新时
  • 编写短视频或 YouTube 解说稿时
  • 将文章、播客、演示或文档改写成社交内容时
  • 围绕发布、里程碑或主题制定轻量级内容计划时

首要问题

明确:

  • 来源素材:我们从什么内容改编
  • 受众:构建者、投资者、客户、运营者,还是普通受众
  • 平台:X、LinkedIn、TikTok、YouTube、新闻简报,还是多平台
  • 目标:品牌认知、转化、招聘、建立权威、支持发布,还是互动参与

核心规则

  1. 为平台进行适配。不要交叉发布相同的文案。
  2. 开篇钩子比总结更重要。
  3. 每篇帖子应承载一个清晰的想法。
  4. 使用具体细节而非口号。
  5. 保持呼吁行动小而清晰。

平台指南

X

  • 开场要快
  • 每个帖子或主题串中的每条推文只讲一个想法
  • 除非必要,避免在主文中放置链接
  • 避免滥用话题标签

LinkedIn

  • 第一行要强有力
  • 使用短段落
  • 围绕经验教训、结果和要点进行更明确的框架构建

TikTok / 短视频

  • 前 3 秒必须抓住注意力
  • 围绕视觉内容编写脚本,而不仅仅是旁白
  • 一个演示、一个主张、一个行动号召

YouTube

  • 尽早展示结果
  • 按章节构建内容
  • 每 20-30 秒刷新一次视觉内容

新闻简报

  • 提供一个清晰的视角,而不是一堆不相关的内容
  • 使章节标题易于浏览
  • 让开篇段落真正发挥作用

内容再利用流程

默认级联:

  1. 锚定素材:文章、视频、演示、备忘录或发布文档
  2. 提取 3-7 个原子化想法
  3. 撰写平台原生的变体内容
  4. 修剪不同输出内容中的重复部分
  5. 使行动号召与平台意图保持一致

交付物

当被要求进行一项宣传活动时,请返回:

  • 核心角度
  • 针对特定平台的草稿
  • 可选的发布顺序
  • 可选的行动号召变体
  • 发布前所需的任何缺失信息

质量门槛

在交付前检查:

  • 每份草稿读起来都符合其平台原生风格
  • 开篇钩子强大且具体
  • 没有通用的炒作语言
  • 除非特别要求,否则各平台间没有重复文案
  • 行动号召与内容和受众相匹配

Frequently asked questions

What does the Content Engine AI skill do?

为X、LinkedIn、TikTok、YouTube、新闻通讯和跨平台重新利用的多平台活动创建平台原生内容系统。适用于当用户需要社交媒体帖子、帖子串、脚本、内容日历,或一个源资产在多个平台上清晰适配时。

Why use Content Engine on TypingMind?

Because you install it once and use it with any model. Content Engine 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 Content Engine in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xu-xiang/everything-claude-code-zh/tree/main/docs/zh-CN/skills/content-engine. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Content Engine?

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 Content Engine?

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

Is the Content Engine AI skill free?

Yes. It is published on GitHub by xu-xiang 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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