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

bash
# 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:

json
{
  "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:

markdown
- Check LinkedIn inbox if last scan >1 hour ago

Core Workflow

Scan Inbox

bash
# 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:

bash
# 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:

markdown
📣 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)

json
{
  "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:

markdown
- 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"

bash
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