linkedin-power-audit

Analyze LinkedIn network exports to produce a structured JSON report.

2|Updated Apr 20, 2026

Search Tags:#linkedin #network analysis #network health #data audit #linkedin data

Ready to run

npx skills add https://github.com/ARCASSystems/FounderOS --skill linkedin-power-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: linkedin-power-audit
Source: https://github.com/ARCASSystems/FounderOS/tree/main/skills/linkedin-power-audit
Command: npx skills add https://github.com/ARCASSystems/FounderOS --skill linkedin-power-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you analyze and understand the composition and health of your LinkedIn network, providing insights into your connections, content, and network gaps.

Core Features & Use Cases

Network Analysis: Analyze the entire export of your LinkedIn data, including profile, metrics, network composition, and network gaps.
Content Analysis: Assess the themes of your content and the connections you follow.
Use Case: Use this Skill to identify areas of your network where you are underrepresented, such as certain industries or roles, and understand how your network is weighted toward different topics.

Quick Start

Run the linkedin-power-audit skill with the export folder path: linkedin-power-audit <path-to-export-folder>

Frequently Asked Questions about linkedin-power-audit

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

FAQPage Schema

How do I analyze my LinkedIn network data export?▼

Yes, you can identify network gaps in your LinkedIn data by running a local Python audit on your unzipped export folder. It analyzes connections, roles, and industries to highlight underrepresented areas in your network.

What is the best way to audit LinkedIn connections by industry and role?▼

The best way to audit LinkedIn connections by industry and role is using a local Python network analysis script on your exported data. It produces a structured JSON report detailing your network's composition and health.

Do I need Python to run a LinkedIn data audit?▼

Yes, you need Python installed locally to run this LinkedIn data audit. The script requires local Python execution on an unzipped LinkedIn export folder but operates with no external dependencies.

Can I assess content themes from my LinkedIn data export?▼

Yes, you can assess content themes from your LinkedIn data export. The network audit script analyzes your profile, metrics, and the connections you follow to evaluate content themes and network composition.

What format does the LinkedIn network health report output?▼

The LinkedIn network health report outputs a structured JSON file. This report details your network's composition, including connections, roles, industries, content themes, and identified network gaps.