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.