Master Graph Engineering: AI Agent Skills for Claude & Codex

Master Graph Engineering: AI Agent Skills for Claude & Codex

This AI agent skill package provides functionality to teach AI agents both aspects of graph engineering: knowledge graphs and task graphs. It is designed to assist in building and interacting with knowledge graphs by extracting entities and relationships from text, designing ontologies, and enabling graph memory. Additionally, it supports the orchestration of multi-agent workflows through task graphs, enhancing the agent's ability to execute complex tasks effectively.

What this skill does

• Teaches AI agents how to build and interact with knowledge graphs, focusing on ontology design, entity and relation extraction, and entity fusion.
• Provides a detailed 9-stage pipeline for constructing and managing knowledge graphs, adapted from Southeast University's Knowledge Graph course.
• Facilitates task graph development for orchestrating multi-agent workflows, including parallel fan-out and verifier separation.
• In teaching mode, offers structured explanations with worked examples and generates visual diagram artifacts to enhance understanding.

Who it is for

• Developers who use AI coding agents like Claude Code, Cursor, and Codex, interested in integrating graph engineering into their applications.
• Technical teams looking to optimize the orchestration of workflows using task graphs.
• Educators and students engaging with AI and graph systems, seeking practical understanding and application.

Use cases

• Creating a knowledge graph to organize and manage information based on specific domain requirements.
• Designing and implementing complex multi-agent workflows that require precise orchestration and coordination.
• Enhancing AI educational content with practical exercises in graph engineering.
• Facilitating research that requires structured data extraction from text and entity relationship analysis.

Technical details

• Integrates with AI platforms like Claude Code, Cursor, and Codex.
• Derived from Southeast University's graduate Knowledge Graph course, adapted for application with large language models.
• Utilizes a comprehensive approach to both knowledge and task graph engineering, supporting various application scenarios.

Source & Licence

This package is built on open-source work published by calebnewtonusc (calebnewtonusc/Chewbacca) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.