Extract entities, properties, and relationships from UML class diagrams into Neo4j.
npx skills add https://github.com/oopsyz/skills --skill classdiagram-to-neo4j
Please help me install this Agent Skill. Skill: classdiagram-to-neo4j Source: https://github.com/oopsyz/skills/tree/main/classdiagram-to-neo4j Command: npx skills add https://github.com/oopsyz/skills --skill classdiagram-to-neo4j
Telecom teams often rely on UML/class diagrams to capture entities, properties, and their interconnections. This skill extracts structured data from those diagrams and populates a Neo4j graph database, enabling reliable graph-based queries, lineage tracking, and reuse across tools.
Run the extraction workflow to analyze a class diagram image and load the results into a Neo4j graph.
High-intent search queries and answers about installing and using this skill.
To extract entities and relationships from UML class diagrams into Neo4j, this skill uses vision-driven models to parse diagram images and generates deterministic Cypher queries to populate the graph database with provenance and referential integrity.
Yes, vision models can extract data from TMF-style schema diagrams. The skill supports vision-driven extraction of entities, properties, and relationships from TMF-style diagrams, UML class diagrams, and API schemas.
The best way to batch process UML diagram extraction for Neo4j is using a workflow that normalizes extractions into a scalable, FQN-based data model and generates deterministic Cypher queries, supporting validation and constraints for production-grade deployments.
Yes, this UML to Neo4j extraction approach supports data validation and indexing. It enforces a stable identity model, data validation, constraints, and optional indexes to optimize query performance for production workflows.
Cypher generation handles referential integrity for graph population by normalizing extracted diagram data into a scalable, FQN-based identity model, ensuring deterministic queries that accurately map entities and relationships into Neo4j.
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