improve-codebase-architecture

Convert shallow modules into deep modules with refactoring suggestions.

1|Updated Aug 16, 2023
One-click install
npx skills add https://github.com/monlor/dotfiles --skill improve-codebase-architecture-monlor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/monlor/dotfiles/tree/main/config/ai/agents/skills/improve-codebase-architecture
Command: npx skills add https://github.com/monlor/dotfiles --skill improve-codebase-architecture-monlor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps developers identify shallow modules in a codebase and suggests refactorings to convert them into deep modules, improving the codebase's structure, testability, and maintainability.

Core Features & Use Cases

  • Codebase Analysis: Identifies shallow modules based on architectural principles.
  • Refactoring Recommendations: Proposes changes to refactor modules and enhance depth.
  • Interface Design Exploration: Offers parallel design suggestions for new interfaces of deepened modules.
  • HTML Report Generation: Outputs a comprehensive report visualizing before-and-after scenarios and recommending a starting point.
  • Integration with ADRs: Informed by the project's architectural decisions recorded in ADRs (Architectural Decision Records).
  • Use Case: Use this Skill to assess the architecture of your project, particularly after major updates, and gain actionable insights into optimizing your code structure.

Quick Start

Generate a codebase architecture review report and identify refactoring opportunities for 'improve-codebase-architecture'.

Frequently Asked Questions about improve-codebase-architecture

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

FAQPage Schema
How do I refactor shallow modules to improve codebase architecture?

To refactor shallow modules into deep modules, you analyze code dependencies and domain language to restructure interfaces. This process enhances codebase architecture by hiding complexity behind deeper modules, which improves overall testability and maintainability.

What is the best way to identify shallow modules in my code structure?

Identifying shallow modules involves analyzing your code structure against architectural principles to find interfaces that do not hide sufficient complexity. This Skill reviews your codebase, highlights these problematic interfaces, and recommends refactoring suggestions to deepen them.

How do I improve code testability after major project updates?

Improving code testability after major updates requires converting shallow modules into deep modules to better encapsulate domain logic. This Skill assesses your updated codebase structure, analyzes dependencies, and proposes interface designs that yield higher testability.

Can I use architectural decision records to guide codebase refactoring?

Yes, you can use architectural decision records (ADRs) to guide codebase refactoring. This Skill integrates existing ADRs to inform its analysis, ensuring that the recommended module depth and interface refactoring suggestions align with your project's recorded architectural decisions.

Does this code structure analysis output a visual report for refactoring?

Yes, the code structure analysis outputs an HTML report visualizing refactoring scenarios. This comprehensive report compares before-and-after states of deepened modules, presents parallel interface design suggestions, and recommends a starting point for your refactoring effort.

When should I not use deep module refactoring for my codebase?

You should avoid deep module refactoring when your codebase lacks clear domain language or suffers from unresolved circular dependencies. If the architectural analysis cannot isolate problematic interfaces, forcing module depth may increase coupling rather than improve maintainability.