clean-code-ch11-systems

Enforce clean system architecture patterns in Java code development.

4|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/hatlesswizard/clean-code-skills --skill clean-code-ch11-systems
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clean-code-ch11-systems
Source: https://github.com/hatlesswizard/clean-code-skills/tree/main/ch11-systems
Command: npx skills add https://github.com/hatlesswizard/clean-code-skills --skill clean-code-ch11-systems

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code quality inspection focused on Chapter 11: Systems to ensure proper separation of construction from use, DI discipline, AOP patterns, and architecture testability, helping teams reduce startup fragility and cross-cutting concerns leakage.

Core Features & Use Cases

  • Enforces separation of startup construction from runtime logic to improve testability and maintainability.
  • Validates dependency injection usage and decoupling from container/framework specifics.
  • Flags cross-cutting concerns handling, AOP pattern usage, and DSL opportunities for clearer architecture.
  • Suitable for CI/code review to audit system-level design across Java and similar ecosystems.

Quick Start

Run the Systems checker against your codebase to identify startup-time construction, DI gaps, and cross-cutting concerns.

Frequently Asked Questions about clean-code-ch11-systems

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

FAQPage Schema
How do I check if my Java application separates startup construction from runtime logic?

To check startup construction separation, you can run automated architecture checks that identify startup-time wiring and validate runtime logic remains decoupled from construction code. This separation improves testability and reduces startup fragility.

How do I validate dependency injection usage and avoid framework-tight coupling in my codebase?

Validating dependency injection involves scanning your codebase to enforce DI discipline and flag framework-tight coupling. Automated checks verify decoupling from container specifics, ensuring your architecture remains testable and maintainable across Java or similar ecosystems.

What is the best way to detect cross-cutting concerns leakage and guide AOP pattern usage?

Detecting cross-cutting concerns leakage requires static analysis that flags scattered concern handling and guides AOP pattern usage. Automated system design checks identify these architectural violations, helping you encapsulate cross-cutting logic via aspects and explore DSL opportunities for clearer architecture.

Can I use automated architecture checks for CI pipelines and code reviews in Java projects?

Yes, you can use automated architecture checks in CI pipelines and code reviews for Java projects. The systems checker audits system-level design, validating DI adherence, construction separation, and AOP patterns to prevent architectural drift during continuous development.

Does static analysis for system design work without specific framework dependencies?

Static analysis for system design works without specific framework dependencies because it operates directly on your codebase structure. It evaluates Java or similar ecosystems by inspecting construction-use separation, DI wiring, and cross-cutting concerns without requiring external container libraries.