refactoring-code

Refactor code in small verifiable steps while preserving observable behavior.

1|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/hayatosc/dotfiles --skill refactoring-code-hayatosc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: refactoring-code
Source: https://github.com/hayatosc/dotfiles/tree/main/home/dot_agents/skills/refactoring-code
Command: npx skills add https://github.com/hayatosc/dotfiles --skill refactoring-code-hayatosc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps developers perform behavior-preserving refactors that improve code clarity, reduce duplication, and modernize structure without changing externally observable behavior. It reduces risk by enforcing small, verifiable steps, reusing existing tests or lightweight characterization checks, and protecting public APIs, persisted formats, and CLI surfaces.

Core Features & Use Cases

  • Safety-first workflow: define a refactor contract, identify the smallest useful scope, and establish a safety net before editing.
  • Structured incremental execution: slice work into single-intention steps (rename, extract, split, move, isolate side effects) and verify after each change.
  • Legacy and mixed-change guidance: provides characterization checks and sequencing heuristics for brittle modules or when a refactor is paired with a feature change.
  • Practical scenarios: extract shared validation from duplicate handlers, split giant functions into phases, or add seams and narrow tests around legacy code.

Quick Start

Refactor the repeated parsing and validation in the handler files to extract a shared helper and run the repository's tests after each small change.

Frequently Asked Questions about refactoring-code

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

FAQPage Schema
How do I safely refactor legacy code without breaking existing behavior?

Perform behavior-preserving refactors on legacy code by first adding narrow characterization checks to establish a safety net. Execute small, verifiable increments and reuse the repository's existing tests to ensure observable behavior remains unchanged throughout the process.

What is the best way to split a large function without changing its output?

The best way to split a large function without changing output is to slice the refactor into single-intention steps such as extracting phases or isolating side effects. Verify each incremental change against existing tests to preserve observable behavior and protect public APIs.

How do I extract shared logic from duplicate code handlers safely?

To extract shared logic from duplicate handlers safely, define a refactor contract and identify the smallest useful scope. Apply incremental, verifiable steps while relying on existing tests or lightweight characterization checks to prevent altering observable behavior.

Can I refactor code when a feature change is paired with the structural improvement?

Yes, you can refactor code alongside feature changes by using sequencing heuristics. Separate the structural refactor from the feature change into distinct incremental steps, verifying behavior preservation after each modification to maintain stability.

When should I use characterization checks during code maintenance?

Use characterization checks during code maintenance when existing tests are insufficient, particularly for brittle modules or legacy code. They provide a lightweight safety net to verify behavior preservation before applying incremental refactors.

Does incremental refactoring protect public APIs and persisted formats?

Yes, incremental refactoring explicitly protects public APIs, persisted formats, and CLI surfaces. By enforcing small, verifiable steps and reusing the repository's verification path, it ensures externally observable behavior remains completely unchanged.