improve-codebase-architecture

Analyze codebases to identify architectural friction and propose interface designs.

11|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/mikrojs/mikrojs --skill improve-codebase-architecture-mikrojs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/mikrojs/mikrojs/tree/main/.agents/skills/improve-codebase-architecture
Command: npx skills add https://github.com/mikrojs/mikrojs --skill improve-codebase-architecture-mikrojs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps analyze a codebase to identify areas where architecture can be improved for better testability and modularity.

Core Features & Use Cases

  • Architectural analysis: Explores the code to find tightly coupled modules and opportunities for deepening shallow ones.
  • Refactoring proposals: Generates candidate interfaces and suggests module deepening strategies for better maintainability.
  • Use Case: A developer wants to refactor a poorly structured project by identifying modules that can be deepened and designing better interfaces for easier testing.

Quick Start

Use the improve-codebase-architecture skill to analyze your GitHub repository and suggest architectural improvements.

Frequently Asked Questions about improve-codebase-architecture

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

FAQPage Schema
How do I identify architectural friction points in my codebase?

This Skill analyzes your codebase to identify architectural friction points by detecting tightly coupled modules and highlighting opportunities to improve modularity and testability.

What is module deepening and how does it improve codebase architecture?

Module deepening is a refactoring strategy that expands shallow modules to hide more implementation details. This Skill suggests deepening opportunities to reduce coupling and make your codebase more maintainable.

How do I refactor a poorly structured codebase for better testability?

You can refactor for better testability by using this Skill to analyze your repository, identify tightly coupled areas, and generate candidate interface designs that isolate dependencies for easier testing.

Can I use this to generate interface designs for existing modules?

Yes, you can use this Skill to generate candidate interfaces for existing modules. It proposes interface designs aimed at improving modularity and reducing architectural friction points.

What's the best way to analyze a GitHub repository for refactoring guidance?

The best way to analyze a GitHub repository for refactoring guidance is using this Skill to explore the code, detect tightly coupled modules, and output targeted module deepening and interface design proposals.

When should I not use automated architectural analysis for refactoring?

Automated architectural analysis provides candidate interfaces and refactoring proposals, but you should not use it as the final step; manual validation is required to ensure the suggested module deepening fits your specific engineering workflow.