software-architecture

Guide software system design using Clean Architecture and Domain-Driven Design principles.

1.3k|137|Updated Nov 13, 2025
One-click install
npx skills add https://github.com/NeoLabHQ/context-engineering-kit --skill software-architecture
Or copy as Structured Prompt for Agent
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Skill: software-architecture
Source: https://github.com/NeoLabHQ/context-engineering-kit/tree/main/plugins/ddd/skills/software-architecture
Command: npx skills add https://github.com/NeoLabHQ/context-engineering-kit --skill software-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides essential guidance for building high-quality, maintainable, and scalable software architectures. It helps you prevent common anti-patterns and ensures your designs are clean, robust, and adaptable, saving you from costly refactoring later.

Core Features & Use Cases

  • Clean Architecture & DDD Principles: Guides you in separating domain entities from infrastructure concerns, keeping business logic independent of frameworks, and defining clear use cases.
  • Library-First Approach: Encourages searching for existing, proven solutions before writing custom code, significantly reducing development time and maintenance burden.
  • Naming Conventions: Enforces clear, domain-specific naming patterns to improve code readability, reduce confusion, and ensure consistency across your codebase.

Quick Start

Apply the software-architecture skill to guide the design of a new microservice, ensuring it follows Clean Architecture principles and avoids common anti-patterns.

Frequently Asked Questions about software-architecture

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

FAQPage Schema
How do I apply Clean Architecture principles to separate business logic from infrastructure?

Clean Architecture separates domain entities and business logic from framework and infrastructure concerns, keeping your core code independent and testable. Define clear use cases, establish bounded contexts from Domain-Driven Design, and organize layers so business rules remain unaffected by technology choices.

What's the best way to prevent common anti-patterns in software design?

Follow Clean Architecture and Domain-Driven Design principles: enforce separation of concerns, use early return and minimal nesting, decompose into reusable modules, and apply clear naming conventions. These practices catch anti-patterns early and reduce costly refactoring.

How do I structure a microservice following Clean Architecture?

Organize layers to isolate business logic from infrastructure, define bounded contexts for domain boundaries, apply library-first problem solving to reuse proven solutions, and enforce consistent naming conventions. This ensures your microservice remains maintainable and adaptable as requirements evolve.

Why should I use a library-first approach before writing custom code?

Library-first development prioritizes existing, proven solutions over custom implementations, significantly reducing development time and maintenance burden. This approach leverages vetted code and community support, allowing you to focus on domain-specific logic.

What naming conventions improve code readability and reduce confusion?

Domain-specific naming patterns aligned with Clean Architecture and Domain-Driven Design create consistency across your codebase. Clear, intent-revealing names for entities, use cases, and boundaries reduce confusion and make business logic immediately understandable.

How do I ensure robust error handling within Clean Architecture?

Implement error handling at appropriate architectural layers, keeping business logic isolated from infrastructure-level exceptions. Use early return patterns and minimal nesting to make error paths explicit and maintainable across your system.