The Agent Skills Directory

[SAFE]: The skill establishes a structured workflow for graph data science that emphasizes database schema inspection, graph projection management, and proper resource cleanup (e.g., using drop_graph and delete_session).- [SAFE]: The requirements for external PyPI packages gds-agent and mcp-neo4j-cypher are appropriate for the skill's purpose of facilitating interactions with Neo4j databases and the Graph Data Science (GDS) plugin.- [SAFE]: The instruction to use standard data science libraries such as pandas, scikit-learn, matplotlib, and pytorch for ad-hoc analysis is consistent with the intended use case of a graph data science assistant.- [SAFE]: The troubleshooting documentation provides guidance on managing large data results using server-side environment variables, representing standard configuration practices.

neo4j-graph-data-scientist