refactor

Refactor code with impact analysis and stepwise test verification.

5|Updated May 17, 2026
One-click install
npx skills add https://github.com/islee23520/lfg --skill refactor-islee23520
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: refactor
Source: https://github.com/islee23520/lfg/tree/main/skills/refactor
Command: npx skills add https://github.com/islee23520/lfg --skill refactor-islee23520

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you perform targeted code refactors without breaking behavior, by turning vague cleanup goals into a disciplined, test-backed workflow.

Core Features & Use Cases

  • Impact Analysis: Maps the target code, its dependencies, and the files most likely to be affected before any edit is made.
  • Safe Execution: Uses structured planning, deterministic refactoring steps, and continuous verification to reduce regressions.
  • Use Case: A developer wants to split a large service into smaller modules, rename symbols across the project, or modernize a messy implementation while keeping tests green.

Quick Start

Ask the refactor skill to analyze the target code and carry out a safe, test-verified refactoring plan.

Frequently Asked Questions about refactor

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

FAQPage Schema
How do I safely refactor code across multiple files without breaking existing behavior?

To safely refactor code across multiple files, you must map dependencies and assess tests before editing. This approach uses disciplined impact analysis and stepwise validation to change implementation while preserving behavior.

What is the best way to rename symbols across a large project?

The best way to rename symbols across a project involves mapping the target code and its dependencies first. Applying structured planning and test verification reduces regressions during the symbol rename process.

How does impact analysis work when modernizing messy code implementations?

Impact analysis for code modernization works by mapping the target code, its dependencies, and the files most likely to be affected. This identifies potential regressions before any structural extraction or cleanup edit is made.

Do I need existing tests to perform a test-verified code cleanup?

Yes, test verification requires assessing your current tests to establish a safety net. Continuous verification against these tests ensures your code cleanup or structural extraction preserves the original behavior.

Can I split a large service into smaller modules without causing regressions?

You can split a large service into smaller modules without regressions by using deterministic refactoring steps. This requires codebase mapping and stepwise validation to ensure behavior remains unchanged.

What are the limitations of using automated refactoring for code modernization?

A key limitation of automated code modernization is failing to map dependencies beforehand. Without disciplined impact analysis and continuous test verification, structural changes risk introducing hidden regressions across affected files.