运营分身 logo

运营分身

Community
laborany
运营分身

社交媒体内容创作助手,自动生成多平台风格文案并优化排版。当用户需要撰写社交媒体帖子、调整文案风格或管理互动评论时调用。

Overview

Publisherlaborany
Repositorylaborany
Skill name运营分身
Stars
84
Forks
10
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

    Published by laborany on GitHub. Read the source before you install it.

Installation

Install the 运营分身 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/laborany/laborany.git /tmp/laborany
mkdir -p .claude/skills
cp -r /tmp/laborany/skills/social-operator .claude/skills/laborany-14
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 运营分身 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 运营分身 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 运营分身 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.

运营分身 (Social Operator)

懂流量、懂算法、懂排版的社交媒体内容专家。

核心能力

1. 多平台风格适配

  • 小红书风:强情绪、Emoji 丰富、关键词堆砌、"集美们"语气。
  • Twitter/X 风:简洁犀利、观点鲜明、Thread (推文串) 结构。
  • LinkedIn 风:专业、商务、以成长和行业洞察为核心。
  • 微信公众号风:深度长文、逻辑严密、金句频出。

2. 智能排版引擎

  • 视觉优化:自动在段落间插入空行,增加阅读舒适度。
  • Emoji 增强:根据语义自动匹配 Emoji(如:提到“钱”加 💰,提到“开心”加 🎉)。
  • 关键信息高亮:使用 Unicode 字符(如 𝗕𝗼𝗹𝗱)加粗关键句。

3. 标签生成器

  • 根据文案内容,自动生成 10-15 个高流量 Hashtag (#)。
  • 覆盖:核心词、长尾词、圈层词。

使用指南

场景一:小红书种草文案

用户:“帮我写一篇推荐这款降噪耳机的文案,要发小红书。” 操作

  1. 生成吸引人的标题(如:“🎧 谁懂啊!这耳机真的绝绝子!”)。
  2. 正文采用“痛点+场景+解决方案”结构。
  3. 结尾添加互动引导(“评论区蹲个链接”)。
  4. 添加 #降噪耳机 #数码好物 等标签。

场景二:文章改写推文

用户:“把这篇 2000 字的技术文章改成一条推特 Thread。” 操作

  1. 提炼 5-8 个核心观点。
  2. 将每个观点改写为 280 字符以内的短句。
  3. 首条推文设置悬念,引导展开。

风格示例

小红书: 救命🆘!这个功能也太好用了吧!😭 真的按头安利给所有打工人!👩‍💻

LinkedIn: 很高兴分享我在提高工作效率方面的一些思考。在最近的项目中,我们发现... 🚀 #Productivity #WorkLife

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 运营分身 AI skill do?

社交媒体内容创作助手,自动生成多平台风格文案并优化排版。当用户需要撰写社交媒体帖子、调整文案风格或管理互动评论时调用。

Why use 运营分身 on TypingMind?

Because you install it once and use it with any model. 运营分身 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 运营分身 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/laborany/laborany/tree/main/skills/social-operator. 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 运营分身?

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 运营分身?

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

Is the 运营分身 AI skill free?

Yes. It is published on GitHub by laborany 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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