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Social Graph Ranker

affaan-m/everything-claude-code

A weighted graph traversal engine that scores your X and LinkedIn connections by how well they bridge to a target list. You feed it a priority set of people or companies, and it runs decay-weighted path analysis to tell you which mutuals offer the strongest warm intro routes versus where you should just go direct. The math is clean: base bridge score plus second-order expansion, adjusted for engagement history. Use this when you need the ranking layer itself, not the full lead-gen or network-pruning workflow that sits on top. Honestly most useful if you're doing systematic outreach at scale and need to prioritize intro asks across a big network.

skills.sh installs
3.6K
GitHub stars
229.1K
last updated
Jul 14, 2026
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Install

$ npx -y skills add affaan-m/everything-claude-code --skill social-graph-ranker --agent claude-code

Installs into .claude/skills of the current project.

Files

Social Graph Ranker

Canonical weighted graph-ranking layer for network-aware outreach.

Use this when the user needs to:

  • rank existing mutuals or connections by intro value
  • map warm paths to a target list
  • measure bridge value across first- and second-order connections
  • decide which targets deserve warm intros versus direct cold outreach
  • understand the graph math independently from lead-intelligence or connections-optimizer

When To Use This Standalone

Choose this skill when the user primarily wants the ranking engine:

  • "who in my network is best positioned to introduce me?"
  • "rank my mutuals by who can get me to these people"
  • "map my graph against this ICP"
  • "show me the bridge math"

Do not use this by itself when the user really wants:

  • full lead generation and outbound sequencing -> use lead-intelligence
  • pruning, rebalancing, and growing the network -> use connections-optimizer

Inputs

Collect or infer:

  • target people, companies, or ICP definition
  • the user's current graph on X, LinkedIn, or both
  • weighting priorities such as role, industry, geography, and responsiveness
  • traversal depth and decay tolerance

Core Model

Given:

SKILL.md on GitHub

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Details

Repository
github.com/affaan-m/everything-claude-code
First seen
Apr 16, 2026

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