neo4j-spark-skill
Use when reading from or writing to Neo4j with Apache Spark or Databricks using the Neo4j Connector for Apache Spark 6.0 (org.neo4j.connectors:spark) or 5.x (org.neo4j:neo4j-connector-apache-spark). Covers SparkSession setup, DataFrame reads via labels/Cypher/relationship scan, DataFrame writes with SaveMode, node.keys for MERGE, relationship write mapping, partition and batch tuning, PySpark and Scala examples, Databricks cluster config, Databricks secrets for credentials, Delta Lake to Neo4j pipelines. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT handle the Python bolt driver — use neo4j-driver-python-skill. Does NOT handle GDS algorithms — use neo4j-gds-skill.
86
92%
Does it follow best practices?
Impact
95%
1.35x2 of 3 eval scenarios. Add 1 more for a full score.
Low
Low-risk findings worth noting
| Run | Type | Date | Status |
|---|---|---|---|
baseline vs usage-spec With / without contextCompleted | With / without context | Completed |
Eval run
01a01e29-0c88-7468-a88d-313b8ff00166
Run
Stats are not available yet
The run is available. Its result stats will appear here when they are ready.
- Repository
neo4j-contrib/neo4j-skills
- Revision
4555b7b
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
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