neo4j-gds-skill
便于在数据库中运行 PageRank、Louvain 等常用图算法
运行图算法可能占用大量内存与 CPU，需留意资源
覆盖 Neo4j Graph Data Science 插件的图算法与内存投影用法
覆盖 Neo4j GDS（Graph Data Science）插件的投影与算法用法：支持 native/Cypher projection、图目录管理、内存估算与 PageRank、Louvain、WCC、FastRP、KNN、Node Similarity、Embedding 和 ML pipeline 的 stream/stat/mutate/write 模式。适合在自管或本地装有 GDS 的 DB 上跑图算法与链式处理。注意不负责自动写 Cypher，也不含 Aura 的远程会话管理。
▸ 展开 SKILL.md 英文原文
Neo4j Graph Data Science (GDS) embedded plugin via Python client or Cypher — covers GraphDataScience, gds.v2 plugin endpoints, gds.version, native projection, Cypher projection, graph catalog operations, stream/stats/mutate/write modes, memory estimation, PageRank, Louvain, WCC, FastRP, KNN, Node Similarity, ML pipelines, and cleanup. Use for Aura Pro, self-managed, local, or offline Neo4j DBMS with the GDS plugin installed. Does NOT cover Aura Graph Analytics GDS Sessions, AuraGraphDataScience, GdsSessions, gds.graph.project.remote, or AuraDB Cypher API projection/session management — use neo4j-aura-graph-analytics-skill. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover driver setup — use neo4j-driver-python-skill or other driver skill.
帮我安装这个 skill：https://raw.githubusercontent.com/neo4j-contrib/neo4j-skills/main/neo4j-gds-skill/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/neo4j-contrib/neo4j-skills/main/neo4j-gds-skill/SKILL.md"## When to Use - Running GDS algorithms against embedded GDS plugin through Python client (`graphdatascience`) - Running GDS algorithms through `CALL gds.*` Cypher procedures - Aura Pro, self-managed Neo4j, local Neo4j, or offline DBMS with GDS plugin installed - Projecting named in-memory graphs, running centrality/community/similarity/path/embedding algorithms - Chaining algorithms via `mutate` mode; building FastRP → KNN pipelines - Writing node embeddings for Neo4j vector indexes / structural similarity search - Memory estimation before large graph operations ## When NOT to Use - **Aura Graph Analytics Sessions / AGA / `GdsSessions` / `AuraGraphDataScience`** → `neo4j-aura-graph-analyti