refactoring

Restructure code without changing behavior using test-guarded incremental refactoring steps.

1|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/devbasex/ai-plugins --skill refactoring-devbasex
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: refactoring
Source: https://github.com/devbasex/ai-plugins/tree/main/plugins/ndf/skills/refactoring
Command: npx skills add https://github.com/devbasex/ai-plugins --skill refactoring-devbasex

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Changing code structure safely is hard when there is no proof that behavior stayed the same. This Skill enforces a disciplined refactoring workflow where every structural change is guarded by tests, applied one step at a time, and never mixed with feature changes in the same diff. ## Core Features & Use Cases - Test-guarded step-by-step refactoring: Apply one refactoring technique per commit, run tests after each step, and revert on failure. - Legacy code handling: Build characterization tests that pin current behavior before touching untested legacy code, with explicit stop conditions when safety cannot be established. - Code smell catalog and technique mapping: Identify 20 named code smells (long methods, duplication, embedded business rules, N+1 iteration) and map each to a concrete refactoring technique with applicability conditions. - Language-specific guidance: Dedicated references for Python, JavaScript, TypeScript, and PHP covering exhaustiveness checking, immutability, schema validation, and bulk operations. - Use Case: When cleaning up a 300-line function after a feature is implemented, use this Skill to extract methods one at a time, keep tests green after each step, and split renames into separate commits so reviewers can verify each change mechanically. ## Quick Start Ask the AI to refactor the specified module using the refactoring skill, keeping behavior unchanged and committing one safe step at a time under existing tests.

Frequently Asked Questions about refactoring

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

FAQPage Schema
How do I refactor legacy code that has no tests?▼

First write characterization tests that record the current outputs as the expected values, without claiming correctness. Then refactor in small steps, running those tests after each step, and treat any discovered bugs as separate changes rather than fixing them mid-refactoring.

How to refactor code without changing its behavior?▼

Apply one refactoring technique at a time, run the existing test suite after each step, and commit only when tests pass. Keep functional changes in separate commits so reviewers can distinguish intended behavior changes from structural accidents.

When should I replace conditionals with a lookup table?▼

Replace conditionals with a lookup table only when the embedded values are business rules that change over time, such as rates or thresholds. Keep branches that are statically checked for exhaustiveness, and ensure the externalized table has a schema, version, and validation.

Does replacing a loop with map or array_map improve performance?▼

No, rewriting a sequential loop as a higher-order iteration does not change how the code executes. Real gains come from bulk operations like vectorized NumPy computation, batched I/O, or concurrency, and you should measure to confirm the effect.

Can I change tests during refactoring?▼

Yes, when tests depend on internal structure. Changing import paths or reducing coupling to internals is acceptable, but changing expected outputs for the same inputs is a behavior change and must be split into a separate change.

When should I stop a refactoring midway?▼

Stop when characterization tests cannot be written, when a step requires adding production branches to pass tests, when specification questions arise, or when the diff grows beyond the defined scope. Report exactly which state is safe before stopping.