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social-graph-ranker

Rank network connections to identify warm introduction paths and bridge targets.

Updated Apr 13, 2026
Search Tags:#engagement#network#outreach#warm-intros#graph-ranking#bridge-score#second-order
One-click install
npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill social-graph-ranker-sakamoto-family-smile
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: social-graph-ranker
Source: https://github.com/sakamoto-family-smile/agent_monorepo/tree/main/.claude/skills/ecc/social-graph-ranker
Command: npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill social-graph-ranker-sakamoto-family-smile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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

Core Features & Use Cases

  • Canonical weighted graph-ranking layer to power network-aware outreach ranking
  • Compute direct bridge scores and second-order expansion to rank potential warm intros
  • Produce actionable outputs: top bridges, conditional paths, and no-warm-path guidance
  • Example scenario: rank connections to find the best warm intro path to a target ICP across two hops

Quick Start

Provide your current network graph and a target set, then run the ranking to return ranked bridge candidates with recommended intro actions.

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 network connections to find the best warm intros?▼

Find warm intro paths to specific targets by mapping second-order connections and mutuals in your network graph. The ranking model calculates conditional paths across two hops to recommend the strongest bridge connections for outreach.

What is a bridge score in network graph ranking for outreach?▼

A bridge score in graph ranking measures a connection's value in linking you to targets. The weighted model with decay evaluates first- and second-order connections to identify optimal warm intro paths and guide outreach decisions.

When should I use a warm intro path versus direct cold outreach for a target?▼

Use warm intros when graph ranking identifies high bridge scores or conditional paths to targets. If the ranking outputs no-warm-path guidance, direct cold outreach becomes the recommended approach for those specific targets.

Can I use second-order connections to map warm paths to a target ICP list?▼

Yes, you can map warm paths to a target ICP list by performing second-order expansion on your network graph. This computes direct bridge scores across two hops to rank potential warm intros and identify actionable outreach targets.

What data do I need to provide to rank my network for warm introductions?▼

Provide your current network graph data and a target set to run the ranking. The model processes these inputs to return ranked bridge candidates, recommended intro actions, and conditional paths for your outreach strategy.

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