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improve-codebase-architecture

Identifies shallow modules whose interface complexity rivals implementation to prioritize refactoring opportunities.

27|1|Updated May 13, 2026
Search Tags:#refactoring#testability#architecture analysis#codebase improvement#AI navigation#module deepening
One-click install
npx skills add https://github.com/roerohan/skills --skill improve-codebase-architecture-roerohan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/roerohan/skills/tree/main/improve-codebase-architecture
Command: npx skills add https://github.com/roerohan/skills --skill improve-codebase-architecture-roerohan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the common pain of codebases filled with shallow, tightly coupled modules that are hard to test, hard for AI agents to navigate, and require changes across dozens of files for even small feature updates. It eliminates guesswork in architecture refactoring by providing a structured, vocabulary-consistent process to identify high-impact consolidation opportunities.

Core Features & Use Cases

  • Shallow Module Detection: Uses the deletion test and organic codebase exploration to identify modules where the interface is nearly as complex as the implementation, indicating they are not earning their keep.
  • Deepening Opportunity Scoring: Ranks refactoring candidates by their potential to improve testability, reduce change locality, and increase interface leverage for both human developers and AI agents.
  • ADR-Aligned Recommendations: Ensures proposed refactors do not conflict with existing architecture decision records, only surfacing changes that are worth revisiting past prior decisions.
  • Use Case: For a team struggling with a codebase where updating a single user-facing feature requires modifying 12 separate utility modules, this Skill surfaces the opportunity to merge those utilities into a single deep module with a clear, small interface, cutting change spread and test maintenance in half.

Quick Start

Use the improve-codebase-architecture skill to analyze the current project codebase and list the top 3 deepening opportunities that would reduce the number of files modified for a typical feature update.

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 shallow modules in my codebase for refactoring?▼

Identify shallow modules by applying the deletion test to find where interface complexity nearly matches implementation complexity, indicating missed logic consolidation opportunities. This process surfaces high-impact refactoring candidates that improve testability and increase interface leverage.

What is the best way to reduce the number of files modified when updating a feature?▼

Reduce file modification spread by consolidating tightly coupled utility modules into a single deep module with a small, clear interface. This architecture refactoring technique concentrates change locality and cuts redundant test maintenance across multiple call sites.

How can I improve codebase architecture for AI agent navigation?▼

Improve AI agent navigation by deepening shallow modules to create a structured, vocabulary-consistent codebase. This optimization workflow reduces redundant test maintenance and provides a clearer hierarchy, allowing agents to navigate modular software projects more efficiently.

Does this refactoring approach conflict with existing architecture decision records?▼

This refactoring approach does not conflict with existing architecture decision records. It provides ADR-aligned recommendations, ensuring proposed changes only surface high-impact consolidation opportunities that are worth revisiting past prior architectural decisions.

When should I use module deepening to improve testability?▼

Use module deepening to improve testability when updating a single feature requires modifying multiple separate modules. By scoring deepening opportunities, you can rank refactoring candidates by their potential to reduce change spread and eliminate redundant test maintenance.

Can I analyze codebase architecture for modular software projects of any size?▼

You can analyze codebase architecture for modular software projects of any size. The process uses organic codebase exploration to detect shallow modules and generate actionable architecture recommendations that increase interface leverage for both human developers and AI agents.

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