refactor-planner

Plan incremental code refactoring with risk assessment and regression coverage.

412|45|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/cwinvestments/memstack --skill refactor-planner-cwinvestments
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: refactor-planner
Source: https://github.com/cwinvestments/memstack/tree/main/skills/development/refactor-planner
Command: npx skills add https://github.com/cwinvestments/memstack --skill refactor-planner-cwinvestments

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers systematically improve code quality by identifying refactoring targets, assessing risks, and creating an incremental execution plan, thereby reducing technical debt and enhancing maintainability.

Core Features & Use Cases

  • Code Smell Detection: Identifies common issues like duplication, long functions, and tight coupling.
  • Risk Assessment: Evaluates the risk associated with each refactoring target based on file changes, test coverage, and dependencies.
  • Prioritization: Ranks refactoring targets based on impact (frequency of change, bug history, developer pain, business impact).
  • Incremental Planning: Designs a step-by-step approach with before/after examples and regression test plans.
  • Use Case: A team identifies a complex, poorly tested module that is slowing down feature development. This Skill can analyze the module, identify specific areas for improvement (e.g., extract a large function, break down a god class), and provide a phased plan to refactor it safely with minimal disruption.

Quick Start

Use the refactor planner skill to analyze the 'user-authentication' module for code smells and generate a refactoring roadmap.

Frequently Asked Questions about refactor-planner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I plan a refactoring strategy for legacy code with high technical debt?

A refactoring strategy analyzes codebase scope, pain points, and test coverage to identify targets like god classes and tight coupling. It assesses risks based on dependencies and generates a phased roadmap with before/after examples and regression coverage to incrementally reduce technical debt.

What are the most common code smells I should target for systematic code improvement?

Common code smells targeted for systematic code improvement include duplication, long functions, god classes, and tight coupling. Identifying these specific refactoring targets allows you to prioritize improvements based on impact, bug history, and developer pain to effectively reduce technical debt.

How do I safely break down a god class without breaking existing functionality?

To safely break down a god class, generate an incremental execution plan that assesses risks based on file changes and test coverage. This phased approach includes before/after examples and a regression test plan to ensure functionality remains intact during the refactoring process.

How do I prioritize refactoring targets in a large software architecture?

Prioritize refactoring targets by evaluating their impact using metrics like frequency of change, bug history, developer pain, and business impact. This risk assessment ranks targets so you can create an execution plan that addresses the most critical software architecture issues first.

What information do I need to provide to generate a code refactoring roadmap?

To generate a code refactoring roadmap, provide detailed input on codebase scope, programming language, specific pain points, current test coverage, timeline, and constraints. This data allows the planner to assess risks and design a phased execution plan with appropriate regression coverage.

When should I avoid doing a large scale code refactoring?

You should avoid large scale refactoring when a module has poor test coverage and high dependency risks, as changes could cause regressions. Instead, use an incremental execution plan to safely address code smells with minimal disruption to feature development.