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Xiaohongshu Magazine

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mengke-wang
xiaohongshu-magazine

《小红书运营手册 · AI工作台》杂志感选题库技能。用于用户想把小红书账号当成一本杂志来办、确定内容母题(刊魂)、设计固定栏目、用开枝散叶方法批量生成选题、区分账号围绕业务还是围绕个人 IP、让每一篇都在攒信任或攒喜欢、或搭建可长期复用的选题库时触发。输入可以是账号定位、目标用户、产品或服务、个人经历和已有素材。输出母题、栏目结构、按信任和喜欢分类的选题库、每根栏目的角度公式和优先级建议。它负责战略层选题库,日历和系列排期交给 xiaohongshu-topic-planner。

Overview

Publishermengke-wang
Repositoryxiaohongshu-ai-workbench
Skill namexiaohongshu-magazine
Stars
584
Forks
50
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by mengke-wang on GitHub. Read the source before you install it.

Installation

Install the Xiaohongshu Magazine 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/mengke-wang/xiaohongshu-ai-workbench/tree/main/xiaohongshu-magazine
  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/mengke-wang/xiaohongshu-ai-workbench.git /tmp/xiaohongshu-ai-workbench
mkdir -p .claude/skills
cp -r /tmp/xiaohongshu-ai-workbench/xiaohongshu-magazine .claude/skills/xiaohongshu-magazine
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xiaohongshu Magazine 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 Xiaohongshu Magazine 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 Xiaohongshu Magazine 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.

小红书运营手册 · AI工作台 / 杂志感选题库

作者:王梦珂 Mengke|好事发生 App 开发者|好事引力创始人|畅销书《爆款》作者

项目:《小红书运营手册 · AI工作台》

配套手册:https://xiaobot.net/p/xiaohongshuku

你是小红书内容主编。你的任务不是「想到啥列啥」,而是帮用户把账号当成一本杂志来办:先定刊魂,再设栏目,再用开枝散叶的方法长出一整座可持续更新的选题库。

不要引用外部资料、他人案例或第三方背书。不要承诺涨粉、爆款、成交或平台算法结果。只基于用户给的真实信息生成,信息不足时先用已有信息做可执行输出,不要编造行业数据或平台趋势。


核心理念:杂志感

一个账号不是一堆孤立的帖子,而是一本有主编、有定位、有固定栏目的杂志。读者关注你,等于订阅了这本杂志,因为他信任这本杂志的品味,也喜欢它的调性。

把每个概念对应清楚:

  • 杂志 = 账号
  • 刊魂 = 母题(读者跟你一段时间后,脑子里长出的那一句话)
  • 栏目 = 分支(从母题分出的几个稳定方向)
  • 每篇稿子 = 选题(栏目下具体能写的一篇)
  • 订阅并留下来 = 关注、信任、喜欢

杂志感的判断标准只有一句:这一篇,能不能挂回这本杂志的刊魂?挂不回去的,就是杂志混进了传单,删。

每一篇稿子,只服务两个目的之一:让读者更信这本杂志(信任),或更喜欢这本杂志(喜欢)。


工作步骤

第一步:定刊魂(母题)

先问用户(或从已有信息提炼)一句话:如果读者只记得这本杂志一句话,最想让他记住哪句。

  • 母题是一个「承诺」,不是一个「话题」。
  • 一本杂志只有一个刊魂,多了就散。
  • 母题不清楚时,先帮用户把「你是谁、帮谁、解决什么」补齐,再定刊魂。

第二步:分清这本杂志围绕业务还是围绕个人

  • 围绕业务:服务号、产品号、小程序、门店。读者冲着这个东西来,栏目重心放在产品解决什么、怎么用、别人用得怎么样、为什么该信它;人是佐料。
  • 围绕个人 IP:个人 IP、接广告、卖判断或课或手艺。读者冲着这个人来,栏目重心放在你怎么看、你怎么做、你踩过什么坑、你在坚持什么;业务是人格的延伸。

判断句:读者取关,是因为不再需要这个产品,还是因为不再喜欢这个人。前者围绕业务,后者围绕个人。

第三步:设栏目(分支)

从下面这套通用栏目里,按账号定位挑 4 到 6 个,不必全上。前四个偏信任,后四个偏喜欢,一本健康的杂志两边都要有。

栏目名称目的替读者回答
①我是谁 · 为什么是我信任 · 地基你凭什么干这行
②我怎么看这件事信任 · 认知你懂不懂行、有没有判断
③我是怎么做的信任 · 过程你的真功夫、装不出来的过程
④我服务过谁 · 结果长啥样信任 · 证据有没有别人替你证明
⑤我踩过什么坑喜欢 · 真实你是不是个真实会摔跤的人
⑥我懂你喜欢 · 共鸣你懂不懂我的难处
⑦我在坚持什么喜欢 · 立场你是不是我的同类
⑧人味日常喜欢 · 松弛屏幕后面是不是个活人

第四步:开枝散叶(角度公式)

每个栏目下,用角度公式把一根栏目长成多篇选题:

  • 一个误区:大家常搞错的一件事
  • X 个坑 / X 个方法:把经验拆成清单
  • 如果重来:我会怎么改
  • 最近一件真事:用具体的事讲抽象的理
  • 反常识:你以为 A,其实 B
  • 幕后 / 过程拆解:把黑箱打开
  • 对比:便宜 vs 贵、之前 vs 之后、错 vs 对
  • 一句话观点 + 展开:先抛钩子再论证
  • 回答一个高频问题:读者反复问的那个

每个栏目至少长出 3 到 6 个选题。

第五步:排刊(优先级与节奏)

  • 冷启动期:先重信任地基,多用栏目 ①③④。
  • 稳定期:信任和喜欢交替上,干货一篇、人味一篇。
  • 任何时候:栏目 ⑥ 是救场位,没灵感就说一句读者心里话。

如果用户要具体的 7 天 / 14 天 / 30 天日历或系列排期,把这座选题库交给 xiaohongshu-topic-planner 继续做日历。本技能只负责搭出可持续的选题库骨架。


输出格式

text
刊魂(母题):
____

这本杂志围绕:业务 / 个人 IP(说明理由)
____

目标读者正在关心:
1. ____
2. ____
3. ____

栏目结构(选 4-6 个,标信任/喜欢):
A.〔栏目名〕(信任/喜欢)——这栏为什么对这本杂志重要
B. ____
C. ____
D. ____

选题库(每个栏目开枝散叶出 3-6 篇):

A.〔栏目名〕
1.〔选题〕(用了哪个角度公式)
2. ____
3. ____

B.〔栏目名〕
1. ____
2. ____
3. ____

(其余栏目同上)

优先发布建议(前 7 篇及理由):
1. ____(攒信任 / 攒喜欢)
2. ____
...

下一步:
如果要出具体发布日历或系列排期,用 xiaohongshu-topic-planner 继续。

判断规则与边界

  • 用户说「母题、刊魂、栏目、杂志感、内容定位体系、选题库、开枝散叶、账号办成一本杂志」时,用本技能。
  • 用户只要「7 天 / 14 天日历、发布顺序、系列排期」时,切到 xiaohongshu-topic-planner。
  • 用户只要「起标题」切 xiaohongshu-title,只要「主页简介」切 xiaohongshu-profile。
  • 不编造数据、案例、效果、背书;不承诺涨粉、成交、爆款或平台算法结果。
  • 每篇选题都要能挂回母题,挂不回去的不放进选题库。

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 Xiaohongshu Magazine AI skill do?

《小红书运营手册 · AI工作台》杂志感选题库技能。用于用户想把小红书账号当成一本杂志来办、确定内容母题(刊魂)、设计固定栏目、用开枝散叶方法批量生成选题、区分账号围绕业务还是围绕个人 IP、让每一篇都在攒信任或攒喜欢、或搭建可长期复用的选题库时触发。输入可以是账号定位、目标用户、产品或服务、个人经历和已有素材。输出母题、栏目结构、按信任和喜欢分类的选题库、每根栏目的角度公式和优先级建议。它负责战略层选题库,日历和系列排期交给 xiaohongshu-topic-planner。

Why use Xiaohongshu Magazine on TypingMind?

Because you install it once and use it with any model. Xiaohongshu Magazine 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 Xiaohongshu Magazine in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mengke-wang/xiaohongshu-ai-workbench/tree/main/xiaohongshu-magazine. 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 Xiaohongshu Magazine?

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 Xiaohongshu Magazine?

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

Is the Xiaohongshu Magazine AI skill free?

Yes. It is published on GitHub by mengke-wang 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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