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Fan Operations

Community
vivy-yi
fan-operations

Use when growing Xiaohongshu following, engaging with audience, building community, responding to comments and DMs, or increasing follower retention and loyalty

Overview

Publishervivy-yi
Repositoryxiaohongshu-skills
Skill namefan-operations
Stars
502
Forks
76
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 vivy-yi on GitHub. Read the source before you install it.

Installation

Install the Fan Operations 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/vivy-yi/xiaohongshu-skills/tree/main/skills/02-账号运营/fan-operations
  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.

Use it in TypingMind

Enable Fan Operations 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 Fan Operations 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 Fan Operations 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.

Fan Operations (粉丝运营)

Overview

Fan operations is strategically engaging with your Xiaohongshu audience through comments, likes, follows, and community building to increase follower loyalty, retention, and long-term account growth.

When to Use

Use when:

  • Responding to comments and DMs
  • Building follower relationships
  • Increasing engagement rates
  • Reducing follower churn
  • Creating community feel

Do NOT use when:

  • Just liking posts (use interaction-operations)
  • Analyzing follower data (use user-persona-analysis)

Core Pattern

Before (no engagement):

❌ Post and ghost (no engagement)
❌ Don't reply to comments
❌ Never initiate engagement
❌ Followers feel ignored
❌ High churn rate

After (active engagement):

✅ Reply to 80%+ comments
✅ Ask questions in replies
✅ Proactive engagement on similar accounts
✅ Followers feel valued
✅ Strong community

5 Fan Operations Tactics:

  1. Comment Replies - Timely, valuable responses
  2. Question Asking - Encourage dialogue
  3. Community Engagement - Engage with followers' posts
  4. DM Welcome - Personal welcome messages
  5. Exclusive Content - Reward loyal followers

Quick Reference

TacticFrequencyTime InvestmentImpact
Reply commentsDaily (80%+ within 24h)30-60min/dayHigh retention
Like follower postsDaily 10-2015min/dayCommunity feel
Ask questionsIn every replyOngoing2x more comments
DM engagementNew followers5min/dayPersonal connection
Follower shoutoutsWeeklyFeature creationLoyalty building

Implementation

Step 1: Reply to Comments (Priority 1)

Response principles:

  • Speed: Reply within 24 hours (faster = better)
  • Value: Add information, don't just say "thanks"
  • Question: Ask follow-up question to continue dialogue
  • Personal: Use their name, reference their specific comment

Example replies:

Comment: "姐妹,这个链接在哪里呀?"
Reply: "@小可爱 在我主页置顶📌 还有其他好物分享,关注不迷路💕"

Comment: "这个真的好用吗?"
Reply: "@小明 真的! 我用了2周,皮肤改善很明显. 你是什么肤质? 我可以给你更具体的建议"

Step 2: Proactive Engagement

Engage with followers:

  • Like 10-20 follower posts daily
  • Leave meaningful comments (not just emojis)
  • Follow back strategic followers
  • Respond to DMs within 24-48 hours

Goals:

  • Make followers feel valued
  • Build reciprocity
  • Create community feel

Step 3: Ask Questions in Content

Prompt engagement:

  • End posts with questions
  • Ask opinions: "你们觉得呢?"
  • Request experiences: "你们有用过吗? 评论区告诉我"
  • Encourage sharing: "艾特你的姐妹一起看"

Example: "你们还有什么平价好物推荐? 评论区分享一下, 我来整理合集!"

Step 4: Welcome New Followers

DM new followers:

"嗨 [name]! 感谢关注😊 
我是[你的名字], 分享学生党平价好物
有任何问题随时问我💕
主页有更多好物分享,欢迎看看✨"

Personal: Customize based on their interests if visible.

Step 5: Reward Loyal Followers

Recognize loyal followers:

  • Feature their comments in posts
  • Shoutout active followers
  • Create follower spotlights
  • Respond to their stories
  • Give exclusive info or early access

Common Mistakes

MistakeFix
Ignoring commentsReply to 80%+ within 24h
Generic repliesAdd value, ask questions
One-way communicationEngage back, like their posts
Late responsesReply within 24 hours
Only replying to positiveAddress all comments constructively

Real-World Impact

Active engagement: 3x higher follower retention No engagement: 50% churn in 3 months

**Key metric: 1 active follower = 10 passive followers in value.


Related Skills:

  • REQUIRED: data-analytics (track engagement metrics)
  • REQUIRED: persona-building (engagement matches persona)
  • interaction-operations (broader engagement tactics)
  • user-retention (reduce follower churn)

Frequently asked questions

What does the Fan Operations AI skill do?

Use when growing Xiaohongshu following, engaging with audience, building community, responding to comments and DMs, or increasing follower retention and loyalty

Why use Fan Operations on TypingMind?

Because you install it once and use it with any model. Fan Operations 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 Fan Operations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vivy-yi/xiaohongshu-skills/tree/main/skills/02-账号运营/fan-operations. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fan Operations?

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 Fan Operations?

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

Is the Fan Operations AI skill free?

It is published on GitHub by vivy-yi. 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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