code-refactoring
Code refactoring patterns and techniques for improving code quality without
Best use case
code-refactoring is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Code refactoring patterns and techniques for improving code quality without
Teams using code-refactoring should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/code-refactoring/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How code-refactoring Compares
| Feature / Agent | code-refactoring | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Code refactoring patterns and techniques for improving code quality without
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
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SKILL.md Source
# Code Refactoring
## Refactoring Principles
### When to Refactor
- Before adding new features (make change easy, then make easy change)
- After getting tests passing (red-green-refactor)
- When you see code smells
- During code review feedback
### When NOT to Refactor
- Without tests covering the code
- Under tight deadlines with no safety net
- Code that will be replaced soon
- When you don't understand what the code does
## Common Code Smells
### Long Methods
```typescript
// BEFORE: Method doing too much
function processOrder(order: Order) {
// 100 lines of validation, calculation, notification, logging...
}
// AFTER: Extract into focused methods
function processOrder(order: Order) {
validateOrder(order);
const total = calculateTotal(order);
saveOrder(order, total);
notifyCustomer(order);
}
```
### Deeply Nested Conditionals
```typescript
// BEFORE: Arrow code
function getDiscount(user: User, order: Order) {
if (user) {
if (user.isPremium) {
if (order.total > 100) {
if (order.items.length > 5) {
return 0.2;
}
}
}
}
return 0;
}
// AFTER: Early returns (guard clauses)
function getDiscount(user: User, order: Order) {
if (!user) return 0;
if (!user.isPremium) return 0;
if (order.total <= 100) return 0;
if (order.items.length <= 5) return 0;
return 0.2;
}
```
### Primitive Obsession
```typescript
// BEFORE: Primitives everywhere
function createUser(name: string, email: string, phone: string) {
if (!email.includes('@')) throw new Error('Invalid email');
// more validation...
}
// AFTER: Value objects
class Email {
constructor(private value: string) {
if (!value.includes('@')) throw new Error('Invalid email');
}
toString() { return this.value; }
}
function createUser(name: string, email: Email, phone: Phone) {
// Email is already validated
}
```
### Feature Envy
```typescript
// BEFORE: Method uses another object's data extensively
function calculateShipping(order: Order) {
const address = order.customer.address;
const weight = order.items.reduce((sum, i) => sum + i.weight, 0);
const distance = calculateDistance(address.zip);
return weight * distance * 0.01;
}
// AFTER: Move method to where the data is
class Order {
calculateShipping() {
return this.totalWeight * this.customer.shippingDistance * 0.01;
}
}
```
## Refactoring Techniques
### Extract Method
```typescript
// Identify a code block that does one thing
// Move it to a new method with a descriptive name
// Replace original code with method call
function printReport(data: ReportData) {
// Extract this block...
const header = `Report: ${data.title}\nDate: ${data.date}\n${'='.repeat(40)}`;
console.log(header);
// ...into a method
printHeader(data);
}
```
### Replace Conditional with Polymorphism
```typescript
// BEFORE: Switch on type
function getArea(shape: Shape) {
switch (shape.type) {
case 'circle': return Math.PI * shape.radius ** 2;
case 'rectangle': return shape.width * shape.height;
case 'triangle': return shape.base * shape.height / 2;
}
}
// AFTER: Polymorphic classes
interface Shape {
getArea(): number;
}
class Circle implements Shape {
constructor(private radius: number) {}
getArea() { return Math.PI * this.radius ** 2; }
}
class Rectangle implements Shape {
constructor(private width: number, private height: number) {}
getArea() { return this.width * this.height; }
}
```
### Introduce Parameter Object
```typescript
// BEFORE: Too many parameters
function searchProducts(
query: string,
minPrice: number,
maxPrice: number,
category: string,
inStock: boolean,
sortBy: string,
sortOrder: string
) { ... }
// AFTER: Parameter object
interface SearchParams {
query: string;
priceRange: { min: number; max: number };
category?: string;
inStock?: boolean;
sort?: { by: string; order: 'asc' | 'desc' };
}
function searchProducts(params: SearchParams) { ... }
```
### Replace Magic Numbers with Constants
```typescript
// BEFORE
if (user.age >= 18 && order.total >= 50) {
applyDiscount(order, 0.1);
}
// AFTER
const MINIMUM_AGE = 18;
const DISCOUNT_THRESHOLD = 50;
const STANDARD_DISCOUNT = 0.1;
if (user.age >= MINIMUM_AGE && order.total >= DISCOUNT_THRESHOLD) {
applyDiscount(order, STANDARD_DISCOUNT);
}
```
## Safe Refactoring Process
1. **Ensure tests exist** - Write tests if they don't
2. **Make small changes** - One refactoring at a time
3. **Run tests after each change** - Catch regressions immediately
4. **Commit frequently** - Easy to revert if something breaks
5. **Review the diff** - Make sure behavior hasn't changed
## Refactoring Checklist
- [ ] Tests pass before starting
- [ ] Each change is small and focused
- [ ] Tests pass after each change
- [ ] No behavior changes (only structure)
- [ ] Code is more readable than before
- [ ] Commit message explains the refactoring
## Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
### Graph Theory
- **networkx** [○] via bicomodule
- Universal graph hub
### Bibliography References
- `dynamical-systems`: 41 citations in bib.duckdb
## Cat# Integration
This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:
```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
```
### GF(3) Naturality
The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```
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