refactor-dev

Guides safe refactoring, complexity reduction, and performance optimization of existing codebases.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/joySUSY/violet-plugin-place --skill refactor-dev-joysusy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: refactor-dev
Source: https://github.com/joySUSY/violet-plugin-place/tree/main/plugins/refactor-dev
Command: npx skills add https://github.com/joySUSY/violet-plugin-place --skill refactor-dev-joysusy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Legacy codebases accumulate complexity, hidden performance bottlenecks like N+1 queries and O(N^2) loops, and risky monolithic structures that are dangerous to change without a proven methodology. ## Core Features & Use Cases - Safe Refactoring Patterns: Apply the Strangler Fig pattern, Branch by Abstraction, and pure-function extraction to modernize legacy code without breaking production. - Performance Engineering: Diagnose bottlenecks with flamegraphs, eBPF profiling, and k6 load testing, then fix algorithmic complexity, memory allocation, and N+1 query problems. - Complexity Reduction: Reduce SonarJS cognitive complexity using lookup tables, early returns, component splitting, and React hook extraction. - Use Case: When an endpoint takes 5 seconds to load, load the performance references to identify missing database indexes or network waterfalls, then refactor with green tests as a safety net. ## Quick Start Ask the assistant to analyze a slow endpoint or a deeply nested function and propose a safe, test-backed refactoring plan.

Frequently Asked Questions about refactor-dev

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

FAQPage Schema
How do I safely refactor a legacy monolith without breaking production?▼

Use the Strangler Fig pattern: place an API gateway in front of the legacy app, build one small feature in the new architecture, route traffic incrementally, and repeat until the legacy system shrinks away. Always confirm tests are green before starting.

How to fix N+1 query problems in ORM applications?▼

N+1 queries occur when fetching related records in a loop, causing one query per parent record. Fix it by collecting parent IDs and running a single batched query with an IN clause, reducing dozens of round trips to two.

What patterns reduce cognitive complexity in React components?▼

Replace nested conditionals with lookup tables, use early returns instead of deep nesting, extract complex conditions into named functions, and split large components by section, modal, or list item. Target max function complexity under 30.

When should I extract a custom React hook from a component?▼

Extract a hook when you find coupled useState groups, complex useEffect logic with multiple dependencies, reusable business logic, or data transformations. This separates state management from UI rendering and enables isolated hook testing.

Why is average response time misleading for performance testing?▼

Mean latency hides tail behavior; a system can have a fast average while P99 latency is seconds long. Always measure P95 and P99 percentiles with tools like k6 or Artillery to find the real user-facing breaking point.

What are the limitations of regex-based code search for refactoring?▼

Regex search produces false positives, such as matching words in comments, and cannot understand code structure. For reliable refactoring targets, use AST-based structural search tools like Comby or static analyzers like knip for dead code detection.