improve-codebase-architecture

Identify shallow modules and propose RFC-style refactors with boundary tests.

7|1|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/Harmeet10000/skills --skill improve-codebase-architecture-harmeet10000
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/Harmeet10000/skills/tree/main/skills/architecture/improve-codebase-architecture
Command: npx skills add https://github.com/Harmeet10000/skills --skill improve-codebase-architecture-harmeet10000

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify bottlenecks in codebase structure and surface opportunities to deepen shallow modules to improve testability and maintainability.

Core Features & Use Cases

  • Surface deepening candidates across modules and interfaces.
  • Propose RFC-style refactors to isolate complexity behind stable boundaries.
  • Facilitate AI-assisted architecture reviews to reduce cognitive load during changes.

Quick Start

Run the Explore workflow on your repository to surface deepening opportunities for testability.

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 to improve testability?

Codebase architecture refactoring uses boundary tests to isolate complexity behind stable interfaces. This approach reduces cognitive load during changes by introducing deep module structures that hide implementation details behind reliable boundaries.

What is the best way to reduce cognitive load when modifying complex software architecture?

To refactor codebase architecture for testability, run an exploration workflow on your repository. This surfaces deepening candidates across modules and generates actionable RFC prompts to restructure interfaces.

How do I generate RFC-style refactoring proposals for boundary isolation?

You can use this architecture refactoring approach on software repositories where structural friction increases cognitive load and reduces testability. It maps dependencies and proposes stable boundaries to isolate complexity.

Does this codebase architecture analysis work on repositories with high dependency friction?

Use this approach when architectural friction slows changes in your software repositories. It surfaces deepening candidates and proposes stable interfaces to isolate complexity, reducing the cognitive load of navigating shallow modules.