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Tencent SkillHub ยท Communication & Collaboration

LinkedIn Inbox Manager

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.

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High Signal

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.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, config-example.json, references/style-extraction.md, scripts/open_conversation.sh, scripts/scan_inbox.sh, scripts/send_message.sh

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 18 sections Open source page

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

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

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: Agent reads the conversation Classifies intent (pitch, networking, job inquiry, spam) Drafts response matching user's communication style Posts draft to notification channel for approval Example notification: ๐Ÿ’ผ 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 โœ… to send, โŒ 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: ๐Ÿ“ฃ The Morning Ping โ€” Monday, Jan 27 **LinkedIn:** โ€ข ๐Ÿ’š Sarah Chen replied โ€” "That sounds great, let's do Thursday" โ†’ Draft ready โ€ข ๐Ÿ’š Mike R. replied โ€” "Not interested right now" โ†’ No action needed โ€ข ๐Ÿ“ฉ 3 new connection requests (2 sales pitches, 1 relevant) โ€ข ๐Ÿ“ฉ 1 unread message from Alex (job inquiry) โ†’ 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

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

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

"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

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Scripts2 Docs1 Config
  • SKILL.md Primary doc
  • references/style-extraction.md Docs
  • scripts/open_conversation.sh Scripts
  • scripts/scan_inbox.sh Scripts
  • scripts/send_message.sh Scripts
  • config-example.json Config