Can I use this skill to fix bugs while refactoring?

No. Refactoring is strictly for improving structure without changing behavior. If you need to fix a bug, you should use a dedicated debugging workflow before or after the refactoring process.

Is an existing test suite required?

Yes. Refactoring without tests is high-risk. This skill requires a passing test suite to verify that your changes haven't altered the software's functional behavior.

How does this skill handle large-scale code changes?

It breaks large changes into the smallest possible compilable units. For massive architectural shifts, it utilizes the Strangler Fig pattern to incrementally replace logic while keeping the system operational.

What happens if a test fails during the refactoring process?

The skill mandates an immediate stop. You must undo the last change, revert to the last known 'green' state, and attempt a smaller or different transformation to ensure tests stay passing.

Safe Code Refactoring

Name: Safe Code Refactoring
Author: Veraticus

byVeraticus

生产力与工作流

Improves code structure and readability through a strict incremental cycle that ensures functional integrity with automated testing.

关于

Safe Code Refactoring provides a disciplined, step-by-step workflow for Claude Code to modernize and clean up codebases without introducing regressions. By enforcing a strict 'Change → Test → Commit' cycle, the skill ensures that every transformation—such as extracting methods, renaming variables, or simplifying logic—is validated against existing test suites. It is specifically designed to help developers manage technical debt and improve software architecture while maintaining a 100% green test status throughout the entire process.

主要功能

0 GitHub stars
Pre-configured rollback triggers for any failing test scenarios
Support for advanced patterns like the Strangler Fig for legacy migration
Strict enforcement of the Change-Test-Commit cycle
Integrated task tracking for multi-step architectural changes
Automated test verification before and after every transformation

使用场景

Reducing cyclomatic complexity in legacy methods while preserving behavior
Extracting duplicated logic into reusable utility functions or modules
Improving code clarity through safe, multi-file renaming and reorganization

关于

主要功能

0 GitHub stars
Pre-configured rollback triggers for any failing test scenarios
Support for advanced patterns like the Strangler Fig for legacy migration
Strict enforcement of the Change-Test-Commit cycle
Integrated task tracking for multi-step architectural changes
Automated test verification before and after every transformation

使用场景

Reducing cyclomatic complexity in legacy methods while preserving behavior
Extracting duplicated logic into reusable utility functions or modules
Improving code clarity through safe, multi-file renaming and reorganization