connection-request

Generate 25 personalized LinkedIn connection requests for top-priority gap companies.

1|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/jonalexjames84/portfolio --skill connection-request
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: connection-request
Source: https://github.com/jonalexjames84/portfolio/tree/main/job-search-os/.claude/skills/connection-request
Command: npx skills add https://github.com/jonalexjames84/portfolio --skill connection-request

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the creation of personalized LinkedIn connection requests for daily outreach, helping you close coverage gaps across target companies without repetitive manual drafting.

Core Features & Use Cases

  • Gap analysis: identify coverage gaps by company using your connection tracker.
  • Batch allocation: distribute 25 requests across top-priority gap companies with role mix and constraints.
  • Research-first messaging: craft messages anchored to specific mutual connections, shared education, or notable work, with function-adaptive framing.

Quick Start

Run the batch with /connection-request to generate 25 personalized LinkedIn connection requests across gap companies using the priority and context libraries.

Frequently Asked Questions about connection-request

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

FAQPage Schema
How do I automate personalized LinkedIn connection requests for outreach?

Automated LinkedIn connection requests are generated by analyzing target company gaps and applying context libraries to craft 25 research-based, function-adaptive messages daily. This avoids generic templates and ensures personalized points of contact.

How do I batch LinkedIn outreach messages across priority gap companies?

Batching LinkedIn outreach messages involves distributing 25 total requests across top-priority gap companies. The allocation applies specific role mix and constraint rules to ensure balanced coverage and targeted networking.

Can I use context libraries to craft non-generic LinkedIn connection notes?

Context libraries provide the foundational data to craft non-generic LinkedIn connection notes. The system surfaces authentic points of contact like mutual connections, shared education, or notable work to anchor each message.

What is the best way to tailor LinkedIn connection requests by role?

Tailoring LinkedIn connection requests by role requires function-adaptive framing. This approach adjusts the message angle based on the target's job function while strictly respecting LinkedIn character limits.

How does gap analysis work for LinkedIn networking outreach?

Gap analysis for LinkedIn networking identifies coverage gaps by company using your connection tracker. It prioritizes target companies lacking connections to focus outreach efforts on closing specific networking voids.

Why do my LinkedIn connection requests look like generic templates?

LinkedIn connection requests look generic when they lack research-based connection points. This system enforces anchoring messages to specific mutual connections or notable work, avoiding repetitive manual drafting and template fatigue.