neo4j-driver-python-skill

What problem does it solve?

It helps you build reliable Python application code that connects to Neo4j and correctly manages driver sessions, transactions, async execution, and result handling.

Core Features & Use Cases

• Driver lifecycle & connection setup: Create and reuse a single GraphDatabase.driver (or AsyncGraphDatabase) instance, including verify_connectivity, correct URI schemes, and supported authentication methods.
• Correct query execution patterns: Use execute_query as the safe default, choose between managed transactions (execute_read / execute_write) and implicit transactions (session.run), and understand retry and streaming/eagerness behavior.
• Robust results, types, and error handling: Access records safely, handle Result lifetimes and JSON serialization pitfalls, map Python/Cypher data types (including temporal and graph objects), and catch Neo4j exceptions like ConstraintError and TransientError.
• Practical performance guardrails: Avoid common mistakes that cause session leaks, connection pool exhaustion, unnecessary round-trips (by always specifying database_/database=), and unsafe UNWIND batching inputs.

Quick Start

Use the neo4j-driver-python-skill to write a Python service that initializes the Neo4j driver once, runs read/write work using execute_query and managed transactions, and returns JSON-safe scalars from query results.