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neo4j-data-models

Official

Design robust Neo4j graph data models.

Data & Analytics#schema design#data modeling#graph database#neo4j#cypher#fraud detection
Authormkd-neo4j
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides comprehensive guidance on designing and implementing effective Neo4j graph data models, ensuring data integrity, query performance, and scalability for complex analytical needs.

Core Features & Use Cases

  • Data Modeling Best Practices: Learn naming conventions, node/relationship design, and property management.
  • Fraud Detection Schemas: Understand canonical schemas for financial transactions and customer data.
  • Query Performance Optimization: Strategies to ensure efficient data retrieval.
  • Use Case: When building a new graph database for financial crime investigation, use this Skill to define optimal node labels, relationship types, and constraints for tracking money flow and identifying suspicious activities.

Quick Start

Use the neo4j-data-models skill to generate a Cypher CREATE CONSTRAINT statement for a unique customer ID property on a Person node.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: neo4j-data-models
Download link: https://github.com/mkd-neo4j/bitcoin-chain-graph/archive/main.zip#neo4j-data-models

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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