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LinkedIn Inbox Manager

LinkedIn inbox management with scheduled scanning, auto-draft responses following user's communication style, and approval workflows. Use when monitoring Linked

Introduction

# 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: ``` šŸ’¼ 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 āœ… to send, āŒ 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 šŸ“£ The Morning Ping — Monday, Jan 27

**LinkedIn:** • šŸ’š Sarah Chen replied — "That sounds great, let's do Thursday" → Draft ready • šŸ’š Mike R. replied — "Not interested right now" → No action needed • šŸ“© 3 new connection requests (2 sales pitches, 1 relevant) • šŸ“© 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

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