How does it identify Aggregates?

The skill identifies Aggregates by looking for explicit aggregate root markers, event recording methods (like recordEvent or raise), and classes that manage collections of multiple entities.

Can this help with refactoring legacy code?

Absolutely. By mapping current domain concepts, it helps identify where business logic is scattered or where naming conventions deviate from business terminology, providing a roadmap for refactoring.

Does this skill work with any PHP framework?

Yes, it uses pattern matching and Grep for standard DDD patterns and Doctrine annotations, making it compatible with Symfony, Laravel, and custom PHP frameworks.

What is a Ubiquitous Language glossary?

It is a shared vocabulary used by both developers and business stakeholders to ensure technical names in code match real-world business concepts, reducing communication errors.

Domain Concepts Extractor

Name: Domain Concepts Extractor
Author: dykyi-roman

bydykyi-roman

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学習とドキュメンテーション

Extracts and maps Domain-Driven Design components from codebases to build a comprehensive Ubiquitous Language glossary.

The Domain Concepts Extractor is a specialized tool designed to bridge the gap between technical implementation and business logic by automatically identifying DDD building blocks such as Entities, Value Objects, and Aggregates. It scans PHP codebases using sophisticated patterns to catalog domain components, map their internal relationships, and generate a structured Ubiquitous Language glossary. This skill is essential for architects and developers who need to maintain clear documentation, onboard team members to complex domains, or ensure that their code accurately reflects the business requirements and terminology.

主な機能

01Extraction of Domain Events and Repository interfaces for behavioral analysis

02Support for modern PHP features including Enums and readonly classes

03Generation of a Ubiquitous Language glossary linking code to business terms

04Mapping of internal relationships and aggregate structures within the domain layer

0545 GitHub stars

06Automatic detection of DDD components like Entities, Value Objects, and Aggregates

ユースケース

01Generating live domain documentation for technical and non-technical stakeholders

02Onboarding new developers to a complex Domain-Driven Design (DDD) project

03Auditing domain model integrity and consistency across multiple bounded contexts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dykyi-roman/awesome-claude-code extract-domain-concepts

For use in Claude.ai and ChatGPT

Download Skill