linkedin-brand-direction

Generate a personalized LinkedIn content strategy from network analysis and algorithm facts.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires linkedin-power-audit, linkedin-network-scan, linkedin-pack-references, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a personalized content strategy for LinkedIn users, tailored to their network composition and goals.

Core Features & Use Cases

  • Network Analysis: Analyzes the user's LinkedIn network to determine content lanes and brand strengths.
  • Goal Alignment: Aligns content strategy with the user's stated goals (winning clients, getting hired, or being known in a space).
  • Algorithm Awareness: Uses dated algorithm facts to inform content format and cadence recommendations.
  • Output Contract: Generates a brand-direction.json file with a fixed schema for consumption by linkedin-post.

Quick Start

Run the linkedin-brand-direction skill to generate a personalized content direction for your LinkedIn profile.

Frequently Asked Questions about linkedin-brand-direction

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

FAQPage Schema
How do I build a LinkedIn content strategy based on my network composition?

A LinkedIn content strategy aligns your network composition and professional goals with algorithm-aware recommendations. It generates a brand-direction.json file defining specific content lanes, brand strengths, and cadence for your profile.

What is the best way to align LinkedIn content with algorithm recommendations?

Aligning LinkedIn content with algorithm recommendations requires dated algorithm facts and network analysis data. This combination generates a brand-direction.json file defining optimal content formats and posting cadence tailored to your goals.

Do I need a network scan to generate a personalized LinkedIn brand direction?

Yes, generating a personalized LinkedIn brand direction requires network-scan.json or audit.json files. These inputs provide the network composition data needed to determine your content lanes and brand strengths accurately.

How does network analysis determine LinkedIn content lanes and brand strengths?

Network analysis reads network-scan.json or audit.json data to evaluate your connections. It identifies brand strengths and content lanes, aligning them with your professional goals to output a structured brand-direction.json file.

Can I use my LinkedIn profile goals to win clients through customized content lanes?

Yes, you can use your LinkedIn profile goals to win clients through customized content lanes. The strategy aligns specific goals like winning clients with network analysis to define targeted brand strengths in the brand-direction.json output.