When to Use

Running GDS algorithms on self-managed Neo4j or Aura Pro (embedded plugin)
Projecting named in-memory graphs, running centrality/community/similarity/path/embedding algorithms
Chaining algorithms via mutate mode; building FastRP → KNN pipelines
Memory estimation before large graph operations
GDS Python client (graphdatascience) workflows

When NOT to Use

Aura BC / VDC / Free — GDS plugin unavailable → neo4j-aura-graph-analytics-skill
Cypher query authoring → neo4j-cypher-skill
Driver/connection setup → neo4j-driver-python-skill
GraphRAG retrieval → neo4j-graphrag-skill

Deployment	Use
Aura Free	Upgrade to Pro or use `neo4j-aura-graph-analytics-skill`
Aura Pro	This skill
Aura BC / VDC	`neo4j-aura-graph-analytics-skill`
Self-managed (Community or Enterprise)	This skill (install GDS plugin)