neo4j-modeling-skill
涵盖节点/关系/属性设计及反模式修复，适用于数据建模阶段
设计、评审并重构 Neo4j 图数据模型，避免常见反模式
把领域模型拆成 Neo4j 的节点、关系和属性，判断何时用标签、关系或属性，设计中间节点处理 n 元关系，并识别和修复常见反模式（泛化标签、supernode、高扇出等）。适合从关系库或文档迁移到图模型或评审现有模型时使用。特点是专注建模最佳实践并会建议约束与索引，但不负责写 Cypher 查询。
▸ 展开 SKILL.md 英文原文
Design, review, and refactor Neo4j graph data models. Use when choosing node labels vs relationship types vs properties, migrating relational/document schemas to graph, detecting anti-patterns (generic labels, supernodes, missing constraints), designing intermediate nodes for n-ary relationships, enforcing schema with constraints and indexes, or assessing an existing model against graph modeling best practices. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle Spring Data Neo4j entity mapping — use neo4j-spring-data-skill. Does NOT handle GraphQL type definitions — use neo4j-graphql-skill. Does NOT handle data import — use neo4j-import-skill.
帮我安装这个 skill：https://raw.githubusercontent.com/neo4j-contrib/neo4j-skills/main/neo4j-modeling-skill/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/neo4j-contrib/neo4j-skills/main/neo4j-modeling-skill/SKILL.md"## When to Use - Designing graph model from scratch (domain → nodes, rels, props) - Reviewing existing model for anti-patterns - Deciding node vs property vs relationship vs label - Migrating relational or document schema to graph - Designing intermediate nodes for n-ary or complex relationships - Detecting and mitigating supernode / high-fanout problems - Choosing and creating constraints + indexes for a model ## When NOT to Use - **Writing or optimizing Cypher** → `neo4j-cypher-skill` - **Spring Data Neo4j (@Node, @Relationship)** → `neo4j-spring-data-skill` - **GraphQL type definitions** → `neo4j-graphql-skill` - **Importing data (LOAD CSV, APOC import)** → `neo4j-import-skill` --- #