This is a comprehensive data modeling guide for property graph databases like Neo4j, Memgraph, and Neptune. It gives you 46 rules organized by priority, from critical entity classification and relationship design down to scale and evolution patterns. The philosophy is modeling correctness first, performance second. You get real Cypher examples comparing wrong vs right approaches, coverage of common anti-patterns like porting relational schemas directly or creating god nodes, and concrete patterns like intermediary nodes and timeline trees. The categorization by impact is smart because it tells you what actually matters when you're designing a schema from scratch or refactoring one that's producing awkward queries. Worth having loaded when you're translating a domain into graph structure.
npx skills add https://github.com/pproenca/dot-skills --skill graph-schema