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improve-codebase-architecture

Identify shallow modules and produce RFC-style refactor plans with cluster mapping.

Updated Aug 23, 2026
Search Tags:#testing#architecture#codebase#refactor#rfc#ai-navigation#deepening
One-click install
npx skills add https://github.com/ronniepinnell/benchsight --skill improve-codebase-architecture-ronniepinnell
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/ronniepinnell/benchsight/tree/main/.claude/skills/improve-codebase-architecture
Command: npx skills add https://github.com/ronniepinnell/benchsight --skill improve-codebase-architecture-ronniepinnell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codebases often suffer from shallow module boundaries that hinder testability, AI-assisted navigation, and safe, scalable refactoring. This skill helps identify opportunities to deepen architecture by surfacing candidates, framing problem spaces, and outlining RFC-style improvements.

Core Features & Use Cases

  • Surface deepening opportunities by analyzing code structure and dependencies.
  • Produce a prioritized list of candidates with cluster mapping, dependency strategies, and testing impact.
  • Frame problem spaces and interfaces for RFC-style refactors, and generate actionable GitHub issues.
  • Assist teams in planning next steps and tracking architectural debt over time.

Quick Start

Initiate a codebase exploration to surface deepening opportunities and generate an RFC-style improvement plan.

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 analysis surfaces shallow module boundaries by mapping dependencies and prioritizing deepening candidates. This process reveals fragile structures and frames problem spaces for targeted refactoring to improve testability and AI navigation.

Can I generate an RFC-style refactor plan for improving codebase architecture?▼

You can frame problem spaces and interfaces to generate an RFC-style refactor plan. The output provides a concrete artifact plan featuring cluster mapping, dependency strategies, testing impact analysis, and recommended next steps for managing architectural debt.

What is a deepening candidate when refactoring a codebase?▼

Deepening candidates are shallow modules identified during architecture analysis that hinder testability and AI navigation. Deepening these modules restructures their boundaries and interfaces to create safer, more scalable refactoring opportunities across the codebase.

How do I map dependencies and testing impact for a codebase refactor?▼

Map dependencies and testing impact by analyzing code structure across modules to produce a prioritized list of deepening candidates. This artifact plan outlines dependency strategies and tracks architectural debt over time to guide safe refactoring.

Does refactoring shallow modules improve AI-assisted code navigation?▼

Refactoring shallow modules directly improves AI-assisted code navigation. Deepening module boundaries creates clearer interfaces and structural clusters, allowing AI tools to navigate the codebase more effectively and safely during development.

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