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.
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).
brew install steipete/tap/peekaboo)# 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
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"
}
}
Tell your agent: "Start LinkedIn inbox monitoring" or add to HEARTBEAT.md:
- Check LinkedIn inbox if last scan >1 hour ago
# 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:
For each unread message:
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.
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"
The skill reads USER.md (or configured style file) to match the user's tone:
Extract these signals:
Apply to drafts:
See references/style-extraction.md for detailed guidance.
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.
Users can respond with:
send [name] - Send the drafted replysend all - Send all pending draftsskip [name] - Archive without replyingedit [name]: [new message] - Replace draft and sendshow [name] - Show full conversation{
"schedule": "0 */2 9-18 * * 1-5",
"text": "Scan LinkedIn inbox and post any new messages to #linkedin with draft replies"
}
In HEARTBEAT.md:
- If 9am-6pm PT and last LinkedIn scan >60min: scan inbox, draft replies, post to #linkedin
peekaboo list windows --app "Google Chrome" --json to debugpeekaboo permissions # Check status
# Grant via System Preferences > Privacy & Security > Screen Recording + Accessibility
scripts/scan_inbox.sh - Peekaboo commands for inbox capturescripts/send_message.sh - Peekaboo commands for sendingreferences/style-extraction.md - Guide for communication style matching