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linkedin-inbox领英收件箱

Agent Skill

linkedin-inbox 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

75,544

周安装

3,056

GitHub Stars

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下载量

23,715
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:linkedin-inbox(领英收件箱)
来源仓库:https://github.com/dylanbaker24/linkedin-inbox
安装命令:
openclaw skills install linkedin-inbox
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install linkedin-inbox

简介

LinkedIn 收件箱管理,包括计划扫描、根据用户沟通风格自动起草回复以及审批工作流程。在监控 LinkedIn 消息、起草回复、在下班时间管理收件箱或设置 LinkedIn 活动的早晨 ping 摘要时使用。

SKILL.md

name
linkedin-inbox
description
LinkedIn inbox management with scheduled scanning, auto-draft responses following user's communication style, and approval workflows. Use when monitoring LinkedIn messages, drafting replies, managing inbox during off-hours, or setting up morning ping summaries of LinkedIn activity.

LinkedIn Inbox Manager

Automated LinkedIn inbox monitoring with human-in-the-loop approval for responses. Uses Peekaboo for UI automation (no API rate limits, works with any LinkedIn account).

Requirements

  • macOS with Peekaboo CLI installed (brew install steipete/tap/peekaboo)
  • Screen Recording + Accessibility permissions granted
  • LinkedIn logged in via browser (Chrome recommended)
  • Clawdbot with browser capability

Quick Start

1. One-time Setup

# Grant Peekaboo permissions
peekaboo permissions

# Verify LinkedIn is accessible
peekaboo app launch "Google Chrome"
peekaboo see --app "Google Chrome" --annotate --path /tmp/linkedin-check.png

2. Configure User Style

Create linkedin-inbox-config.json in your workspace:

{
  "scan": {
    "intervalMinutes": 60,
    "activeHours": { "start": 9, "end": 18, "timezone": "America/Los_Angeles" },
    "skipWeekends": true
  },
  "drafting": {
    "styleProfile": "USER.md",
    "templates": {
      "decline": "Thanks for reaching out. Not a fit for us right now, but best of luck.",
      "interested": "This looks interesting. Happy to chat more. What's your availability?",
      "referral": "I might know someone. Let me check and get back to you."
    }
  },
  "notifications": {
    "channel": "discord",
    "target": "#linkedin"
  }
}

3. Start Monitoring

Tell your agent: "Start LinkedIn inbox monitoring" or add to HEARTBEAT.md:

- Check LinkedIn inbox if last scan >1 hour ago

Core Workflow

Scan Inbox

# Navigate to LinkedIn messaging
peekaboo app launch "Google Chrome"
peekaboo menu click --app "Google Chrome" --item "New Tab"
peekaboo type "https://www.linkedin.com/messaging/" --return
sleep 3

# Capture inbox state
peekaboo see --app "Google Chrome" --window-title "Messaging" --annotate --path /tmp/linkedin-inbox.png

The agent reads the annotated screenshot to identify:

  • Unread messages (bold names, blue dots)
  • Message previews
  • Sender names and titles

Draft Responses

For each unread message:

  1. Agent reads the conversation
  2. Classifies intent (pitch, networking, job inquiry, spam)
  3. Drafts response matching user's communication style
  4. Posts draft to notification channel for approval

Example notification:

💼 LinkedIn: New message from **Alex M.** (Founder @ SomeCompany)

Preview: "Hi, I noticed you're growing and wondered if..."

**My read:** Services pitch. Doesn't fit current needs.

**Draft reply:**
> Thanks for reaching out. We're set on that side for now, but I'll keep you in mind if that changes.

React ✅ to send, ❌ to skip, or reply with edits.

Send Approved Messages

On approval:

# Click into conversation
peekaboo click --on [message-element-id] --app "Google Chrome"
sleep 1

# Type response
peekaboo type "Your approved message here" --app "Google Chrome"

# Send (Enter or click Send button)
peekaboo press return --app "Google Chrome"

Communication Style Matching

The skill reads USER.md (or configured style file) to match the user's tone:

Extract these signals:

  • Formality level (casual vs professional)
  • Typical greeting style
  • Sign-off patterns
  • Sentence length preference
  • Banned words/phrases
  • Response length norms

Apply to drafts:

  • Mirror detected patterns
  • Use user's vocabulary
  • Match their directness level
  • Respect their guardrails (no "excited", no hype, etc.)

See references/style-extraction.md for detailed guidance.

Morning Ping Integration

Add LinkedIn summary to your morning ping:

📣 The Morning Ping — Monday, Jan 27

**LinkedIn:**
• 💚 Sarah Chen replied — "That sounds great, let's do Thursday" → Draft ready
• 💚 Mike R. replied — "Not interested right now" → No action needed
• 📩 3 new connection requests (2 sales pitches, 1 relevant)
• 📩 1 unread message from Alex (job inquiry) → Draft ready

Reply "send sarah" to approve, "skip mike" to archive.

Approval Commands

Users can respond with:

  • send [name] - Send the drafted reply
  • send all - Send all pending drafts
  • skip [name] - Archive without replying
  • edit [name]: [new message] - Replace draft and send
  • show [name] - Show full conversation

Scheduled Scanning

Via Cron (Recommended)

{
  "schedule": "0 */2 9-18 * * 1-5",
  "text": "Scan LinkedIn inbox and post any new messages to #linkedin with draft replies"
}

Via Heartbeat

In HEARTBEAT.md:

- If 9am-6pm PT and last LinkedIn scan >60min: scan inbox, draft replies, post to #linkedin

Safety Rules

  1. Never send without explicit approval - Always wait for user confirmation
  2. Rate limit actions - Max 20 LinkedIn actions per hour
  3. Respect quiet hours - Don't scan outside configured activeHours
  4. Log everything - Record all actions in daily memory file
  5. Preserve originals - Never delete messages, only archive

Troubleshooting

"Can't find messaging UI"

  • Ensure Chrome is open with LinkedIn logged in
  • Check window title matches (may vary by language)
  • Use peekaboo list windows --app "Google Chrome" --json to debug

"Session expired"

  • LinkedIn sessions expire periodically
  • Re-authenticate manually in browser
  • Skill will detect login page and notify user

"Peekaboo permissions denied"

peekaboo permissions  # Check status
# Grant via System Preferences > Privacy & Security > Screen Recording + Accessibility

Files

  • scripts/scan_inbox.sh - Peekaboo commands for inbox capture
  • scripts/send_message.sh - Peekaboo commands for sending
  • references/style-extraction.md - Guide for communication style matching

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

92.76%
按下载量换算21,998

安全审计

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可疑

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可疑

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权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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