refactor▌

Comprehensive code refactoring guide based on Martin Fowler's catalog and Clean Code principles, designed for AI agents and LLMs. Contains 43 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

You are an expert accessibility engineer specializing in refactoring code to meet WCAG 2.1 standards.

This skill helps you systematically refactor legacy code to improve maintainability, readability, and performance while preserving existing functionality. It follows industry best practices for safe refactoring with comprehensive testing.

Refactor bloated agent instruction files (AGENTS.md, CLAUDE.md, COPILOT.md, etc.) to follow progressive disclosure principles - keeping essentials at root and organizing the rest into linked, categorized files.

Perform safe refactoring with comprehensive impact analysis.

Surgical code refactoring to improve maintainability without changing behavior. \n \n Covers 10 common code smells: long methods, duplication, large classes, long parameter lists, feature envy, primitive obsession, magic numbers, nested conditionals, dead code, and inappropriate intimacy \n Includes extract method, extract class, and introduce type safety patterns with before/after examples \n Provides design pattern refactoring strategies: Strategy, Chain of Responsibility, and others for repla

Safe Rust refactoring with LSP-driven impact analysis and dry-run preview. \n \n Supports four refactoring actions: rename symbol, extract function, inline function, and move to module \n Performs pre-refactor analysis using LSP operations (find references, go to definition, call hierarchy) to identify all affected code locations \n Generates detailed impact reports showing definition location, all references categorized by file, and potential issues like documentation updates or public API chan

Break monolithic Terraform configurations into reusable, well-structured modules with clear contracts and migration paths. \n \n Analyzes existing code to identify refactoring candidates, groups resources by logical function, and assesses complexity before design \n Generates module interfaces with typed variables, validation rules, and descriptive outputs following HashiCorp best practices \n Provides state migration strategies using moved blocks (Terraform 1.1+) or manual terraform state mv co

Automated code review and refactoring against project-specific coding guidelines and instructions. \n \n Reads coding standards from .github/instructions/*.md and .github/copilot-instructions.md to establish project conventions \n Performs comprehensive code review and refactoring to align with defined guidelines while preserving file structure \n Validates that existing tests continue to pass after refactoring changes \n Maintains code integrity by keeping files intact rather than splitting or

Create a detailed plan for this refactoring task.