social-graph-ranker

原文涵盖的主题

• Social Graph Ranker
• When To Use This Standalone
• Inputs
• Core Model
• Scoring Signals
• Workflow
• Output Shape
• Related Skills

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 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 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 Given: T = weighted target set M = your current mutuals / direct connections d(m, t) = shortest hop distance from mutual m to target t w(t)

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