social-graph-ranker
Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.
- Kind
- Skill
- Works with
- Claude Code, Codex
- Source
- affaan-m/ECC @ d3b8a3e90890
- Path
- skills/social-graph-ranker/SKILL.md
- License
- MIT
- Jobs
- Requirements interviews, Review
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# 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: …