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English

🇨🇳

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Chinese

LinkedIn Community Engagement Skill

LinkedIn社区运营技能

Overview

概述

This skill enables authentic LinkedIn engagement by discovering relevant posts, identifying thought leaders to follow, crafting professional responses, and tracking engagement history.

本技能可通过发现相关帖子、识别值得关注的意见领袖、撰写专业回复以及追踪互动历史，实现真实的LinkedIn社区互动。

Actions

操作

Action	File	When to Use
Login	references/login.md	Authenticate with LinkedIn before engaging
Research	references/research.md	Find posts, discover people, build content database
Engage	references/engage.md	Comment on posts or create new posts

操作	文件	使用场景
登录	references/login.md	参与互动前先通过LinkedIn认证
调研	references/research.md	查找帖子、发现人脉、构建内容数据库
互动	references/engage.md	评论帖子或发布新帖

Data Files

数据文件

File	Purpose
`.business_growth/marketing/social/BUSINESS.md`	Shared business context (required)
`.business_growth/marketing/social/linkedin/strategy.md`	LinkedIn engagement strategy (overall approach, target audiences, content pillars)
`.business_growth/marketing/social/linkedin/{YYYY-MM}/{YYYY-MM-DD}.md`	Daily posts, people, and engagement log
`community-pulse/skills/linkedin/.env.profiles.local`	LinkedIn credentials (gitignored)

文件	用途
`.business_growth/marketing/social/BUSINESS.md`	共享业务背景（必填）
`.business_growth/marketing/social/linkedin/strategy.md`	LinkedIn互动策略（整体方法、目标受众、内容支柱）
`.business_growth/marketing/social/linkedin/{YYYY-MM}/{YYYY-MM-DD}.md`	每日帖子、人脉及互动日志
`community-pulse/skills/linkedin/.env.profiles.local`	LinkedIn凭证（已加入git忽略）

Quick Start

快速开始

First time? → Run Login to authenticate, then Research to find posts and people
Have posts? → Run Engage to comment or create new posts
Before any Research or Engagement → The strategy file at
```
.business_growth/marketing/social/linkedin/strategy.md
```
is loaded automatically. If it doesn't exist, you'll be asked if you want to create one.

首次使用？ → 运行登录进行认证，然后运行调研查找帖子和人脉
已有帖子？ → 运行互动进行评论或发布新帖
在进行任何调研或互动前 → 系统会自动加载
```
.business_growth/marketing/social/linkedin/strategy.md
```
策略文件。若文件不存在，会询问您是否需要创建。

Decision Flow

决策流程

User Request
    │
    ├─► "Login" / "Sign in" / "Authenticate"
    │       └─► Load references/login.md
    │
    ├─► "Find posts" / "Research" / "Discover" / "Find people"
    │       └─► Load references/research.md
    │
    ├─► "Comment" / "Post" / "Engage" / "Reply"
    │       └─► Load references/engage.md
    │
    └─► Unclear
            └─► Ask: "Would you like me to research LinkedIn posts/people or engage with existing content?"

用户请求
    │
    ├─► "登录" / "登录账号" / "认证"
    │       └─► 加载references/login.md
    │
    ├─► "查找帖子" / "调研" / "发现" / "查找人脉"
    │       └─► 加载references/research.md
    │
    ├─► "评论" / "发帖" / "互动" / "回复"
    │       └─► 加载references/engage.md
    │
    └─► 请求不明确
            └─► 询问："您需要我帮您调研LinkedIn帖子/人脉，还是参与现有内容的互动？"

Browser MCP Quick Reference

浏览器MCP快速参考

Get Browser Context

获取浏览器上下文

tabs_context_mcp (get available tabs)
tabs_create_mcp (create new tab if needed)

tabs_context_mcp (get available tabs)
tabs_create_mcp (create new tab if needed)

Navigation

Reading Page

读取页面

read_page (tabId) - Get page structure
get_page_text (tabId) - Get text content
screenshot - Visual verification

read_page (tabId) - 获取页面结构
get_page_text (tabId) - 获取文本内容
screenshot - 可视化验证

Finding Elements

查找元素

find (query, tabId) - Natural language element search

find (query, tabId) - 自然语言元素搜索

Interaction

交互操作

form_input (ref, value, tabId) - Fill form fields
computer (action: "left_click", coordinate, tabId) - Click elements
computer (action: "scroll", scroll_direction, tabId) - Scroll page
computer (action: "type", text, tabId) - Type text

form_input (ref, value, tabId) - 填写表单字段
computer (action: "left_click", coordinate, tabId) - 点击元素
computer (action: "scroll", scroll_direction, tabId) - 滚动页面
computer (action: "type", text, tabId) - 输入文本

Important Notes

重要说明

Authentication: Use login skill or ensure manual login before engaging
Rate Limits: LinkedIn limits connection requests and posting frequency
Professional Tone: LinkedIn rewards professional, insightful content
Connection Limits: Avoid mass connection requests - focus on quality engagement
Content Visibility: LinkedIn algorithm favors comments and engagement within the first hour
User Approval: ALL engagement actions require explicit user confirmation

认证: 使用登录技能或确保在互动前已手动完成登录
频率限制: LinkedIn对连接请求和发帖频率有限制
专业语气: LinkedIn更青睐专业、有见地的内容
连接限制: 避免批量发送连接请求 - 专注于高质量互动
内容可见性: LinkedIn算法倾向于在发布后的第一小时内的评论和互动
用户确认: 所有互动操作都需要用户明确确认

linkedin