Refactor codebases across languages using a five-phase measure-transform-verify workflow.
npx skills add https://github.com/dljsjr/sandpiper-ai --skill refactoring-dljsjr
Please help me install this Agent Skill. Skill: refactoring Source: https://github.com/dljsjr/sandpiper-ai/tree/main/skills/sandpiper/refactoring Command: npx skills add https://github.com/dljsjr/sandpiper-ai --skill refactoring-dljsjr
This skill provides a structured, language-agnostic workflow to improve code health through measured refactoring. It enables systematic measurement, target identification, safe transformations, and verification to reduce complexity and duplication without altering external behavior.
Begin a refactor by establishing a baseline, then follow the five-phase workflow to safely improve structure without changing behavior.
High-intent search queries and answers about installing and using this skill.
Safe refactoring requires a structured workflow: measure a baseline, identify target areas, transform the code, measure again, and verify external behavior remains stable. This approach reduces complexity and duplication while maintaining functionality.
Measuring code health involves applying static analysis to establish a baseline for complexity and duplication. Identifying targets through these metrics guides safe transformations and ensures maintainability improvements are tracked and verified.
Yes, the refactoring guidance is language-agnostic but includes language-specific references for TypeScript, Python, Go, Java, and C++. This ensures safe transformations and verification are applied correctly across different codebases.
Identifying refactoring targets involves measuring code complexity and duplication to pinpoint high-risk areas. Focusing on these measured metrics guides extraction, consolidation, and simplification patterns for effective debt reduction.
Production refactoring workflows enforce guardrails through risk assessment, rollback considerations, and compatibility checks. The five-phase workflow ensures safe transformations by verifying behavior and measuring complexity before and after changes.
Large-scale refactoring should be avoided without a measured baseline and verification steps. If static analysis cannot establish complexity metrics or behavior stability cannot be guaranteed, the risk of altering external behavior is too high.
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