linkedin-network-scan

Score LinkedIn connections against a YAML-defined Ideal Customer Profile.

2|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/ARCASSystems/FounderOS --skill linkedin-network-scan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: linkedin-network-scan
Source: https://github.com/ARCASSystems/FounderOS/tree/main/skills/linkedin-network-scan
Command: npx skills add https://github.com/ARCASSystems/FounderOS --skill linkedin-network-scan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows users to analyze their LinkedIn network against an Ideal Customer Profile (ICP), providing a ranked, ready-to-work outreach list without scraping or automation.

Core Features & Use Cases

  • ICP-based Scoring: Score connections based on predefined criteria in an ICP file.
  • Data Analysis: Extract and analyze LinkedIn network data, including connections, messages, and invitations.
  • Outreach List Generation: Generate a short, ranked list of connections that match the ICP criteria.
  • Use Case: A user with a target customer profile can upload their LinkedIn data export and define an ICP. The skill will then provide a list of connections that match the criteria, ready for outreach.

Quick Start

Run the skill with your LinkedIn data export file and specify your ICP with the '--icp' flag, e.g., python scan.py <export.zip> <output-folder> --icp my-icp.yaml.

Frequently Asked Questions about linkedin-network-scan

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

FAQPage Schema
How do I score my LinkedIn connections against an Ideal Customer Profile?

To score LinkedIn connections against an Ideal Customer Profile, provide your LinkedIn data export and a user-defined YAML configuration file specifying your ICP criteria. The Skill processes this locally to output a ranked list of connections matching your target profile.

Can I generate a sales outreach list from my LinkedIn data export without scraping?

Yes, you can generate a sales outreach list from a LinkedIn data export without scraping. The Skill analyzes your downloaded network data against an ICP file to produce a ranked list of targets, ensuring compliance by avoiding automated messaging or scraping.

Do I need Python to run a LinkedIn network analysis for sales targeting?

Yes, you need Python installed to run this LinkedIn network analysis. The Skill relies exclusively on Python and its standard libraries to execute the scoring script and process your ICP configuration file.

What is the best way to define an Ideal Customer Profile for LinkedIn network scanning?

The best way to define an Ideal Customer Profile for LinkedIn network scanning is by creating a YAML configuration file. This file establishes the specific criteria and parameters the script uses to evaluate and rank your exported connections.

Does this LinkedIn network analysis tool support automated messaging or outreach?

No, this LinkedIn network analysis tool does not support automated messaging or outreach. It is designed strictly for data analysis and generating a ranked outreach list based on ICP criteria, leaving the actual messaging to the user.