social-graph-ranker

Rank X and LinkedIn connections for warm introductions using weighted social graph scoring.

1|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/ROYCE-8425/ai-marketing-hub --skill social-graph-ranker-royce-8425
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: social-graph-ranker
Source: https://github.com/ROYCE-8425/ai-marketing-hub/tree/main/skills/social-graph-ranker
Command: npx skills add https://github.com/ROYCE-8425/ai-marketing-hub --skill social-graph-ranker-royce-8425

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of identifying the best connections for warm introductions and assessing bridge value in a network.

Core Features & Use Cases

  • Weighted Social Graph Ranking: Analyze and rank connections based on intro value, bridge scoring, and network gap analysis across platforms like X and LinkedIn.
  • Warm Intro Discovery: Discover the best connections for warm introductions.
  • Bridge Scoring: Measure the value of bridges across first- and second-order connections.
  • Network Analysis: Understand the network math independently from outreach or network-maintenance workflows.

Quick Start

Use the social-graph-ranker skill to get a ranking of your connections on LinkedIn that are best positioned to introduce you to a target company.

Frequently Asked Questions about social-graph-ranker

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

FAQPage Schema
How do I rank my LinkedIn connections for a warm introduction to a target company?

Social graph ranking evaluates your connections across LinkedIn and X to identify the best warm introduction candidates to a target company. It calculates bridge scores and assesses network gaps based on your specific weighting criteria to pinpoint optimal paths.

What is bridge scoring in social network analysis?

Bridge scoring measures the introduction value of connections across first- and second-order relationships. It calculates how effectively a specific contact bridges the network gap between you and a target company using weighted social graph ranking.

Can I use my own weighting criteria to rank social connections?

Yes, social graph ranking requires your specific weighting criteria to evaluate connections. You must provide custom parameters alongside your network data so the algorithm can accurately calculate bridge scores and rank potential warm introductions across platforms.

Does this social network analysis work with both X and LinkedIn data?

Yes, social graph ranking analyzes connections across both X and LinkedIn platforms. It requires access to your network data from these sources to calculate bridge scores and assess network gaps for warm intro discovery.

What data do I need to provide to analyze my social graph for warm intros?

You need to provide access to your network data and specific weighting criteria for ranking. The analysis uses this input to process connections across X and LinkedIn, calculating bridge scores to identify the best warm introduction candidates for your target company.