Does it support both read and write operations?

Yes, the integrated mcp-neo4j-cypher tool provides specific functions for both reading from and writing to your Neo4j database.

How does this skill help with Cypher performance?

The skill includes a cypher-developer agent and query-optimization references that analyze execution plans and suggest index strategies or query refactoring to improve speed.

Can it help me design a graph from scratch?

Absolutely. The graph-modeler agent is specifically designed to take domain requirements and build out a normalized graph schema using established modeling patterns.

Can I visualize my Neo4j schema with this skill?

Yes, it can generate Mermaid diagram configuration strings and export models to Arrows.app JSON format for visual design and documentation.

Neo4j Graph Developer

Name: Neo4j Graph Developer
Author: Byunk

byByunk

•

数据库管理

Streamlines Neo4j development by providing automated data modeling, Cypher query optimization, and schema visualization tools.

关于

The neo4j-dev skill is a comprehensive toolkit designed to empower Claude Code with specialized graph database capabilities. It integrates advanced MCP servers to handle the full lifecycle of Neo4j development, from initial domain modeling and schema validation to writing and profiling complex Cypher queries. By utilizing dedicated agents like the graph-modeler and cypher-developer, users can quickly generate visual Mermaid diagrams, optimize query performance using best practices, and ensure their graph architecture follows industry-standard patterns for scalability and efficiency.

主要功能

Automated Cypher query generation, debugging, and performance optimization
Real-time database schema retrieval and structural analysis
Interactive graph data model design with Mermaid and Arrows.app support
Schema validation for nodes, relationships, and complete data models
4 GitHub stars
Comprehensive reference library for graph patterns and indexing strategies

使用场景

Translating complex business requirements into validated graph data models
Visualizing and documenting existing Neo4j database schemas
Identifying and fixing performance bottlenecks in slow Cypher queries

关于

主要功能

Automated Cypher query generation, debugging, and performance optimization
Real-time database schema retrieval and structural analysis
Interactive graph data model design with Mermaid and Arrows.app support
Schema validation for nodes, relationships, and complete data models
4 GitHub stars
Comprehensive reference library for graph patterns and indexing strategies

使用场景

Translating complex business requirements into validated graph data models
Visualizing and documenting existing Neo4j database schemas
Identifying and fixing performance bottlenecks in slow Cypher queries