improve-codebase-architecture

Identify shallow modules in codebases to recommend refactoring strategies.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/silvarojasdiegoarturo91/fluxbot-studio-ia --skill improve-codebase-architecture-silvarojasdiegoarturo91
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/silvarojasdiegoarturo91/fluxbot-studio-ia/tree/main/.github/skills/improve-codebase-architecture
Command: npx skills add https://github.com/silvarojasdiegoarturo91/fluxbot-studio-ia --skill improve-codebase-architecture-silvarojasdiegoarturo91

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers identify architectural friction points in a codebase, enabling targeted refactoring to enhance testability and AI-navigability.

Core Features & Use Cases

  • Architectural Analysis: Detects shallow modules that expose minimal leverage at their interfaces.
  • Refactoring Guidance: Suggests deepening strategies to improve locality and robustness.
  • Use Case: When a team wants to make their codebase more maintainable and automation-friendly, this Skill identifies prime candidates for deepening that isolate complexity and facilitate testing.

Quick Start

Use the improve-codebase-architecture skill to analyze your project and highlight modules with low leverage or poor locality, then plan refactors accordingly.

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?

To identify shallow modules for refactoring, analyze your codebase to detect modules that expose minimal leverage at their interfaces. This highlights architectural friction points with poor locality, guiding targeted improvements to increase testability and modularity.

What is the best way to improve codebase testability and modularity?

The best way to improve codebase testability and modularity is to apply deepening strategies to shallow modules. This isolates complexity, enhances structural robustness, and makes the software more maintainable and automation-friendly for AI-driven navigation.

How does code dependency analysis help with architectural improvements?

Code dependency analysis helps with architectural improvements by exposing structural friction points and low-leverage interfaces. Evaluating dependencies alongside existing test coverage reveals where to isolate complexity and deepen modules to optimize overall maintainability.

Can I use this architectural analysis on a project with low test coverage?

Yes, you can use this architectural analysis on projects with low test coverage. The evaluation explicitly incorporates existing test coverage into its structural review to identify prime candidates for refactoring that will facilitate future testing.

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

You need to refactor shallow modules into deep units when a codebase becomes difficult to maintain or automate. Targeting modules with low leverage isolates underlying complexity behind robust interfaces, improving both testability and AI-navigability.