AI-Powered Codebase Scanner: Identify & Register Data Models

Revolutionize Your Codebase Management with the AI-Powered Codebase Scanner

Unleash the power of artificial intelligence to efficiently identify and register data models within your codebase with the AI-Powered Codebase Scanner. Whether you’re dealing with SQL schemas, ORM models, TypeScript interfaces, or Pydantic models, this tool offers a streamlined way to scan and categorize data models, enhancing your development workflow like never before.

What This Skill Does

This AI agent skill delivers precise data model management through a structured workflow:

• Scan Your Codebase: Initiate a scan of any specified codebase directory using the path of your choice. Whether it's an absolute or relative path, the tool adapts to your directory structure.
• Data Model Discovery: Using intelligent detection patterns, identify and extract key components from diverse data model definitions, including tables, columns, and fields.
• Proposal for Registry Entries: Automatically propose data_concept, data_aggregate, and data_entity registry entries, based on your scan results, for your review before any files are written.
• Custom Domain Assignment: Assign a specific domain to discovered models, enhancing the organization and clarity of your projects.
• Flexible Output Options: Preview proposed entries before committing or choose to write them directly into your registry for immediate update.

Use Cases

• Efficient Codebase Analysis: Developers looking to automate the identification and registration of data models within large codebases will benefit from rapid, accurate scanning capabilities.
• Data Model Organization: Teams managing complex projects with diverse data models can maintain organized and up-to-date registries with ease.
• Cross-Platform Development: Ideal for projects using multiple programming languages or frameworks, ensuring no data model is overlooked.

Technical Details

• Tools and Capabilities: Integrate seamlessly with popular AI coding agents like Claude Code, Cursor, and Codex for enhanced functionality.
• Data Crawling Expertise: Employ advanced crawl-data capabilities to uncover hidden data model structures.
• YAML Configurations: Utilizes dynamic type-to-folder mapping derived from models/registry-mapping.yaml for flexible directory management.

Enhance your development process with the AI-Powered Codebase Scanner, delivering precision and efficiency in managing data models across your projects.

Source & Licence

This package is built on open-source work published by ea-toolkit (ea-toolkit/architecture-catalog) 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.