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arch-ddd

Implement domain-driven architecture patterns for Python backend services.

3|Updated Jan 25, 2026
Search Tags:#architecture#python#backend#ddd#patterns#domain-driven-design
One-click install
npx skills add https://github.com/ai-enhanced-engineer/aiee-team --skill arch-ddd-ai-enhanced-engineer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: arch-ddd
Source: https://github.com/ai-enhanced-engineer/aiee-team/tree/main/skills/arch-ddd
Command: npx skills add https://github.com/ai-enhanced-engineer/aiee-team --skill arch-ddd-ai-enhanced-engineer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines applying Domain-Driven Design to Python backend projects, promoting clear boundaries between domain and infrastructure, improving testability and maintainability.

Core Features & Use Cases

  • Domain Model Pattern: rich, behavior-rich domain objects with identity and invariants.
  • Repository & Unit of Work: decoupled persistence and transactional boundaries.
  • Service Layer: orchestration of use cases with well-defined interfaces.
  • Aggregates & Boundaries: clear transactional scopes and invariants.
  • Use Case Examples: designing backend components like authentication, billing, and order processing with clean separation.

Quick Start

Install and apply DDD patterns to your backend by mapping domain models to repositories and services, then refactor an example module to use a Unit of Work.

Frequently Asked Questions about arch-ddd

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I apply domain-driven design to a Python backend?▼

Domain-driven design separates domain logic from infrastructure in Python backends using patterns like Domain Model, Repository, and Service Layer. This enforces clear boundaries, improving testability and maintainable code.

When do I need the Unit of Work pattern for backend architecture?▼

You need the Unit of Work pattern in domain-driven design to establish decoupled transactional boundaries. It manages transactional scopes and invariants, ensuring consistent state changes across domain aggregates and repositories.

Does domain-driven design work for both monoliths and microservices in Python?▼

Yes, domain-driven design applies to both monoliths and microservices in Python. It enforces clear domain boundaries, testability, and maintainable code across varying architectural scales and service distributions.

What is the best way to structure Python backend code for billing and order processing?▼

Use domain-driven design to structure Python backends for billing and order processing. It separates use case orchestration via a service layer while encapsulating business rules within behavior-rich domain aggregates and clear boundaries.

How do I implement the Repository pattern to decouple persistence in Python?▼

Implement the Repository pattern in Python by defining interfaces that decouple persistence from domain logic. Map domain models to repositories to keep your domain layer independent of infrastructure details and improve testability.

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