improve-codebase-architecture

Analyze codebase architecture and propose module deepening refactorings.

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/CidLucas/repo_platform --skill improve-codebase-architecture-cidlucas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/CidLucas/repo_platform/tree/main/.github/skills/improve-codebase-architecture
Command: npx skills add https://github.com/CidLucas/repo_platform --skill improve-codebase-architecture-cidlucas

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill identifies and proposes refactoring opportunities to transform shallow modules into deep ones, improving codebase architecture and making it more testable and AI-navigable.

Core Features & Use Cases

  • Deepening Opportunities: Surface architectural friction and propose refactoring suggestions.
  • Domain Language Integration: Uses CONTEXT.md for domain-specific terminology.
  • Testing and AI Navigation: Focuses on enhancing testability and AI navigation capabilities.

Quick Start

Use the improve-codebase-architecture skill to explore architecture improvements in your codebase.

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 refactoring opportunities to improve codebase architecture?

To improve codebase architecture, you analyze existing module structures to identify shallow modules and propose deepening refactors that enhance overall testability and AI navigation.

What makes a codebase architecture more testable and AI-navigable?

A testable and AI-navigable codebase architecture relies on deep modules and integrated domain-specific language. This structure reduces architectural friction and surfaces clear refactoring opportunities for exploration.

How to use a CONTEXT.md file for domain language integration in refactoring?

Domain language integration during refactoring uses a CONTEXT.md file to map domain-specific terminology into the codebase architecture, ensuring the deepened modules align with business logic and enhance AI navigation.

When do I need to refactor shallow modules into deep modules?

You need to refactor shallow modules into deep modules when architectural friction prevents effective testing or AI navigation, requiring structural deepening to hide complexity behind simplified interfaces.

Does this codebase architecture analysis require specific dependencies or frameworks?

This codebase architecture analysis requires no external dependencies or frameworks, relying solely on exploring the existing codebase structure and applying knowledge of architectural best practices.

What is the best way to analyze existing codebase structure for testability improvements?

The best way to analyze existing codebase structure for testability improvements is to explore the architecture, identify shallow modules, and propose deepening refactors using domain-specific language from CONTEXT.md.