linkedin-pitch-deflector

Classify unread LinkedIn messages and draft deflect or probe replies.

2|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/MDGrey33/memnyx --skill linkedin-pitch-deflector
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: linkedin-pitch-deflector
Source: https://github.com/MDGrey33/memnyx/tree/main/.claude/skills/linkedin-pitch-deflector
Command: npx skills add https://github.com/MDGrey33/memnyx --skill linkedin-pitch-deflector

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps manage high-volume LinkedIn cold outreach by separating real conversations from sales pitches, so you only respond when it is worth your time.

Core Features & Use Cases

  • Deflect overt pitches: Sends a firm, final reply to obvious sales outreach, staffing offers, and agency-style pitches.
  • Probe ambiguous openers: Responds to new, non-committal messages with a warm question that reveals whether the sender is a genuine peer or a salesperson.
  • Protect user context: Preserves unread state, respects message count limits, and hands off genuine threads after three non-pitch messages.
  • Use Case: A user opens LinkedIn after a week away and wants the unread inbox sorted into deflect, probe, leave alone, or hand off without manually reading every thread.

Quick Start

Ask the skill to review your unread LinkedIn messages and send the right reply for each thread based on whether it is a pitch, a genuine opener, or a conversation that should be handed off.

Frequently Asked Questions about linkedin-pitch-deflector

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

FAQPage Schema
How do I automatically sort and filter LinkedIn cold DMs?

Sort LinkedIn cold DMs by using browser automation to classify unread threads from unknown senders, deflecting pitches and probing ambiguous openers. This triage process categorizes messages so you only respond to worthwhile conversations.

What is the best way to deflect LinkedIn sales outreach automatically?

The best way to deflect LinkedIn sales outreach is using a triage system that sends firm replies to obvious pitches and warm questions to ambiguous openers. This safely filters vendor outreach and recruiter offers without manual reading.

Do I need Chrome MCP to automate LinkedIn message triage?

Yes, you need Chrome MCP access to automate LinkedIn message triage. This browser automation requirement allows the system to read unread threads, classify message counts, preserve unread states, and safely draft replies for your review.

How does message triage handle ambiguous cold DMs on LinkedIn?

Message triage handles ambiguous cold DMs by sending a warm probing question to reveal if the sender is a genuine peer or a salesperson. It tracks turn-count classification and hands off genuine threads after three non-pitch messages.

Can I preserve the unread state of LinkedIn messages during automated sorting?

Yes, you can preserve the unread state of LinkedIn messages during automated sorting. The system requires unread-state preservation to triage threads without marking them as read before you review and approve the safe reply drafts.

What are the limitations of using browser automation for LinkedIn cold DM filtering?

Limitations of browser automation for LinkedIn cold DM filtering include strict turn-count limits and review gating for safe reply drafting. It only applies to unread threads from unknown senders, leaving existing conversations untouched.