Does it support the latest Neo4j 5 features?

Yes, it prioritizes modern features such as Label Expressions, Type Predicates, and modern subquery patterns (COUNT, EXISTS, COLLECT) introduced in recent versions.

How does this skill handle deprecated Neo4j syntax?

The skill includes a strict checklist that automatically identifies and replaces deprecated features like id(), btree indexes, and implicit grouping with modern, supported syntax.

Can this skill improve the performance of my graph queries?

Yes, it implements Quantified Path Patterns (QPP) and early filtering strategies that can improve complex traversal performance by up to 1000x compared to standard variable-length relationships.

Is this suitable for GraphRAG implementations?

Absolutely. It was specifically designed for agentic systems that require precise retrieval patterns and efficient data extraction from complex graph structures.

Why does the skill emphasize NULL filtering during sorting?

Sorting in Neo4j can produce unexpected results with NULL values; the skill enforces best practices to filter NULLs or use explicit NULLS LAST/FIRST clauses for predictable data output.

Modern Neo4j Cypher Guide

Name: Modern Neo4j Cypher Guide
Author: Berkay2002

byBerkay2002

데이터베이스 관리

Generates optimized, modern Neo4j Cypher queries while ensuring compatibility with the latest syntax standards and performance patterns.

소개

The Neo4j Cypher Guide skill empowers Claude to act as a graph database expert, specializing in writing high-performance Cypher read queries for modern Neo4j environments. It systematically eliminates deprecated features—such as the id() function and implicit grouping—replacing them with modern equivalents like elementId() and explicit WITH clauses. By leveraging advanced patterns like Quantified Path Patterns (QPP) and CALL subqueries, this skill is particularly essential for developers building Agentic GraphRAG systems where precise, efficient graph traversal and data retrieval are critical for LLM accuracy.

주요 기능

Automated migration from deprecated syntax to modern Neo4j standards
Implementation of Quantified Path Patterns (QPP) for high-performance traversals
Enforced NULL handling rules for reliable sorting and data integrity
Advanced subquery handling using CALL, COLLECT{}, and COUNT{} patterns
Optimization of variable-length paths to reduce memory and CPU overhead
0 GitHub stars

사용 사례

Building Agentic GraphRAG systems for telecommunications or complex domain analysis
Refactoring legacy Cypher queries to support Neo4j 5.x and beyond
Improving the accuracy of text-to-Cypher tools for natural language interfaces

소개

주요 기능

Automated migration from deprecated syntax to modern Neo4j standards
Implementation of Quantified Path Patterns (QPP) for high-performance traversals
Enforced NULL handling rules for reliable sorting and data integrity
Advanced subquery handling using CALL, COLLECT{}, and COUNT{} patterns
Optimization of variable-length paths to reduce memory and CPU overhead
0 GitHub stars

사용 사례

Building Agentic GraphRAG systems for telecommunications or complex domain analysis
Refactoring legacy Cypher queries to support Neo4j 5.x and beyond
Improving the accuracy of text-to-Cypher tools for natural language interfaces