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bostonrobbie
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LinkedIn Signal Monitor

Monitor LinkedIn engagement signals and classify them into prioritized categories.

Updated Aug 27, 2026
Search Tags:#linkedin#sales intelligence#social selling#lead generation#prospecting#engagement monitoring
One-click install
npx skills add https://github.com/bostonrobbie/BDR --skill linkedin-signal-monitor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: LinkedIn Signal Monitor
Source: https://github.com/bostonrobbie/BDR/tree/main/skills/linkedin-signal-monitor
Command: npx skills add https://github.com/bostonrobbie/BDR --skill linkedin-signal-monitor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of staying informed about valuable LinkedIn engagement signals without actively participating, ensuring timely and intentional follow-ups.

Core Features & Use Cases

  • Passive Monitoring: Observes profile views, InMail read receipts, and connection requests without taking any visible action.
  • Signal Classification: Categorizes viewers into HOT, PROSPECT, NEW, or RE-ENGAGE for prioritized action.
  • Use Case: Automatically identifies prospects who viewed your profile after a recent outreach, flagging them as "HOT" for immediate follow-up, or detects InMails that have been read, indicating engagement.

Quick Start

Check LinkedIn signals for the day by running the LinkedIn Signal Monitor skill.

Frequently Asked Questions about LinkedIn Signal Monitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor LinkedIn engagement signals passively for lead generation?▼

Passive monitoring tracks profile views, InMail read receipts, and connection acceptances without visible interaction, classifying signals into HOT, PROSPECT, NEW, and RE-ENGAGE categories to prioritize lead generation follow-ups.

What is the best way to classify LinkedIn profile views for social selling?▼

Classifying LinkedIn profile views for social selling involves cross-referencing viewer data with MASTER_SENT_LIST.csv and warm-leads.md, sorting them into HOT, PROSPECT, NEW, or RE-ENGAGE categories to prioritize outreach.

Do I need Chrome MCP to track LinkedIn InMail read receipts?▼

Yes, Chrome MCP is required for browser interaction to passively observe LinkedIn InMail read receipts and cross-reference engagement signals with MASTER_SENT_LIST.csv and warm-leads.md files.

How does LinkedIn signal monitoring work with existing prospecting lists?▼

Signal monitoring cross-references observed engagement data against MASTER_SENT_LIST.csv and warm-leads.md, adding context to classify signals into HOT, PROSPECT, NEW, or RE-ENGAGE categories for prioritized follow-up actions.

Can I detect when a prospect reads my LinkedIn InMail for sales intelligence?▼

Yes, passively monitoring InMail read receipts detects prospect engagement for sales intelligence, flagging read messages as HOT or PROSPECT signals to trigger immediate follow-up actions.

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