social-graph-ranker

Canonical weighted graph-ranking layer for network-aware outreach. Use this when the user needs to: Choose this skill when the user primarily wants the ranking engine: Do not use this by itself when the user really wants: Collect or infer: Given: Base bridge score: Where: Second-order expansion: Where: Response-adjusted final ranking: Where: Interpretation: Weight targets before graph traversal with whatever matters for the current priority set: Weight mutuals after traversal with: - 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 - "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" - full lead generation and outbound sequencing -> use lead-intelligence - pruning, rebalancing, and growing the network -> use connections-optimizer - 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 - T = weighted target set - M = your current mutuals / direct...