tdd-workflows-tdd-refactor
Helps your agent refactor code when working with TDD workflows. This improves the code structure after tests pass.
What it does
This tool helps improve your programming code, making it cleaner and more efficient. It does this by applying refactoring techniques while ensuring all your code's tests continue to pass.
When to use it
- ✓When you want to make your code more organized.
- ✓When you want to improve your code's speed.
- ✓When you want to ensure code changes don't break anything.
Example of what to ask your AI
“Refactor this code to make it cleaner and faster, but ensure all tests still pass.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool analyzes your code, identifies areas for improvement (like repetition or complexity), and applies known techniques to fix them. It runs tests before and after to make sure everything still works.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill tdd-workflows-tdd-refactorOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/tdd-workflows-tdd-refactor/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Use this skill when
- Working on tdd workflows tdd refactor tasks or workflows
- Needing guidance, best practices, or checklists for tdd workflows tdd refactor
Do not use this skill when
- The task is unrelated to tdd workflows tdd refactor
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Refactor code with confidence using comprehensive test safety net:
[Extended thinking: This tool uses the tdd-orchestrator agent (opus model) for sophisticated refactoring while maintaining all tests green. It applies design patterns, improves code quality, and optimizes performance with the safety of comprehensive test coverage.]
Usage
Use Task tool with subagent_type="tdd-orchestrator" to perform safe refactoring.
Prompt: "Refactor this code while keeping all tests green: $ARGUMENTS. Apply TDD refactor phase:
Core Process
1. Pre-Assessment
- Run tests to establish green baseline
- Analyze code smells and test coverage
- Document current performance metrics
- Create incremental refactoring plan
2. Code Smell Detection
- Duplicated code → Extract methods/classes
- Long methods → Decompose into focused functions
- Large classes → Split responsibilities
- Long parameter lists → Parameter objects
- Feature Envy → Move methods to appropriate classes
- Primitive Obsession → Value objects
- Switch statements → Polymorphism
- Dead code → Remove
3. Design Patterns
- Apply Creational (Factory, Builder, Singleton)
- Apply Structural (Adapter, Facade, Decorator)
- Apply Behavioral (Strategy, Observer, Command)
- Apply Domain (Repository, Service, Value Objects)
- Use patterns only where they add clear value
4. SOLID Principles
- Single Responsibility: One reason to change
- Open/Closed: Open for extension, closed for modification
- Liskov Substitution: Subtypes substitutable
- Interface Segregation: Small, focused interfaces
- Dependency Inversion: Depend on abstractions
5. Refactoring Techniques
- Extract Method/Variable/Interface
- Inline unnecessary indirection
- Rename for clarity
- Move Method/Field to appropriate classes
- Replace Magic Numbers with constants
- Encapsulate fields
- Replace Conditional with Polymorphism
- Introduce Null Object
6. Performance Optimization
- Profile to identify bottlenecks
- Optimize algorithms and data structures
- Implement caching where beneficial
- Reduce database queries (N+1 elimination)
- Lazy loading and pagination
- Always measure before and after
7. Incremental Steps
- Make small, atomic changes
- Run tests after each modification
- Commit after each successful refactoring
- Keep refactoring separate from behavior changes
- Use scaffolding when needed
8. Architecture Evolution
- Layer separation and dependency management
- Module boundaries and interface definition
- Event-driven patterns for decoupling
- Database access pattern optimization
9. Safety Verification
- Run full test suite after each change
- Performance regression testing
- Mutation testing for test effectiveness
- Rollback plan for major changes
10. Advanced Patterns
- Strangler Fig: Gradual legacy replacement
- Branch by Abstraction: Large-scale changes
- Parallel Change: Expand-contract pattern
- Mikado Method: Dependency graph navigation
Output Requirements
- Refactored code with improvements applied
- Test results (all green)
- Before/after metrics comparison
- Applied refactoring techniques list
- Performance improvement measurements
- Remaining technical debt assessment
Safety Checklist
Before committing:
- ✓ All tests pass (100% green)
- ✓ No functionality regression
- ✓ Performance metrics acceptable
- ✓ Code coverage maintained/improved
- ✓ Documentation updated
Recovery Protocol
If tests fail:
- Immediately revert last change
- Identify breaking refactoring
- Apply smaller incremental changes
- Use version control for safe experimentation
Example: Extract Method Pattern
Before:
class OrderProcessor {
processOrder(order: Order): ProcessResult {
// Validation
if (!order.customerId || order.items.length === 0) {
return { success: false, error: "Invalid order" };
}
// Calculate totals
let subtotal = 0;
…
FAQ
What is refactoring?
Refactoring is the process of restructuring existing computer code without changing its external behavior. The goal is to improve clarity, reduce complexity, and make it easier to maintain.
Why is it important for tests to keep passing?
Keeping tests passing ensures that the changes made to the code haven't introduced new bugs or broken existing functionalities. It acts as a safety net.
What kind of improvements can the code get?
The code can become easier to read, faster to execute, more organized, and simpler to modify in the future.
Details
Original description by the author
Use when working with tdd workflows tdd refactor
Popularity
- GitHub stars
- 48k
- Ranking position
- #4323
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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