Orchestrate multi-step codebase refactoring with pre-flight checks and atomic commits.
npx skills add https://github.com/trungdo9/ClauKit --skill refactor-trungdo9
Please help me install this Agent Skill. Skill: refactor Source: https://github.com/trungdo9/ClauKit/tree/main/skills/software/refactor Command: npx skills add https://github.com/trungdo9/ClauKit --skill refactor-trungdo9
This Skill ensures large-scale code refactoring is performed safely and with behavior preservation, eliminating the risks of breaking functionality during extensive code changes.
Initiate a refactor with the command '/ck:refactor'. Follow the outlined steps in the documentation for scope definition, dry-run discovery, batching, execution, and verification.
High-intent search queries and answers about installing and using this skill.
Large-scale code refactoring is orchestrated through a multi-step process that enforces pre-flight checks, atomic commits, and rollback procedures to preserve behavior. This ensures stability during complex tasks like API migrations and module restructuring.
Pre-flight checks are mandatory safety gates verifying that your working tree is clean, tests pass, and type-checks are successful before starting a refactor. You must satisfy these prerequisites to prevent introducing regressions.
Atomic commits ensure that each individual step of a module extraction or API migration is committed independently. This granular approach allows you to isolate specific changes and perform individual rollbacks if a behavior regression is detected.
The best way to handle renaming symbols across a significant codebase is to use a structured refactoring process with scope definition, dry-run discovery, and batching. This step-by-step execution guarantees behavior preservation and structural integrity.
Yes, you can rollback a specific refactoring step because the process enforces atomic commits for every change. If type-checks fail or regressions occur, you can revert to the last known stable state without undoing the entire refactor.
You should avoid an orchestrated refactoring workflow for minor or localized code changes that do not require strict behavior preservation. The multi-step safety gates, dry-runs, and batching are designed specifically for extensive, large-scale codebase modifications.
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