Coding Standards Skill

Level 1: Quick Start (5 minutes)

What You'll Learn

Apply essential coding standards for clean, maintainable code that follows industry best practices.

Core Principles

Consistency: Follow established style guides (PEP 8, Airbnb, Google)
Readability: Write self-documenting code with clear naming
Maintainability: Keep functions small (<50 lines), files focused (<500 lines)
Quality: Enforce standards with linters and formatters

Quick Reference

python

# ✅ Good: Clear naming, single responsibility
def calculate_user_discount(user: User, order: Order) -> Decimal:
    """Calculate discount based on user tier and order total."""
    if user.tier == "premium":
        return order.total * Decimal("0.15")
    return order.total * Decimal("0.05")

# ❌ Bad: Unclear naming, mixed concerns
def calc(u, o):
    d = 0.15 if u.t == "p" else 0.05
    save_to_db(u, o, d)  # Side effect!
    return o.t * d

Essential Checklist

Follow language-specific style guide
Use meaningful, descriptive names
Limit function complexity (cyclomatic < 10)
Configure linter and formatter
Add pre-commit hooks

Common Pitfalls

Inconsistent naming conventions within a project
Functions that do too many things
Missing or outdated documentation
Skipping code reviews

Level 2: Implementation (30 minutes)

Deep Dive Topics

1. Code Style and Formatting

Naming Conventions by Language:

typescript

// TypeScript/JavaScript
class UserService {}           // PascalCase for classes
const getUserById = () => {}   // camelCase for functions
const API_ENDPOINT = "..."     // UPPER_SNAKE_CASE for constants

python

# Python
class UserService:              # PascalCase for classes
def get_user_by_id():          # snake_case for functions
API_ENDPOINT = "..."           # UPPER_SNAKE_CASE for constants

File Organization:

src/
├── models/           # Data models and types
├── services/         # Business logic (max 500 lines/file)
├── controllers/      # Request handlers
├── utils/           # Shared utilities
└── config/          # Configuration

2. Documentation Standards

Function Documentation:

typescript

/**
 * Calculates the final price after applying discounts and tax.
 *
 * @param basePrice - The original price before any adjustments
 * @param discountRate - Discount as a decimal (0.1 = 10%)
 * @param taxRate - Tax rate as a decimal (0.08 = 8%)
 * @returns The final price rounded to 2 decimal places
 * @throws {ValidationError} If basePrice is negative
 *
 * @example
 * const finalPrice = calculateFinalPrice(100, 0.1, 0.08);
 * // Returns 97.20 (100 - 10% discount + 8% tax)
 */
function calculateFinalPrice(
  basePrice: number,
  discountRate: number,
  taxRate: number
): number {
  if (basePrice < 0) {
    throw new ValidationError("Base price cannot be negative");
  }
  const discounted = basePrice * (1 - discountRate);
  return Math.round(discounted * (1 + taxRate) * 100) / 100;
}

3. Architecture Patterns

SOLID Principles Application:

typescript

// Single Responsibility Principle
class UserRepository {
  async findById(id: string): Promise<User> {}
  async save(user: User): Promise<void> {}
}

class UserValidator {
  validate(user: User): ValidationResult {}
}

// Dependency Injection
class UserService {
  constructor(
    private readonly repository: UserRepository,
    private readonly validator: UserValidator
  ) {}

  async createUser(userData: UserData): Promise<User> {
    const validation = this.validator.validate(userData);
    if (!validation.isValid) {
      throw new ValidationError(validation.errors);
    }
    return this.repository.save(new User(userData));
  }
}

4. Error Handling

typescript

// Custom error hierarchy
class ApplicationError extends Error {
  constructor(
    message: string,
    public code: string,
    public statusCode: number = 500
  ) {
    super(message);
    this.name = this.constructor.name;
  }
}

class ValidationError extends ApplicationError {
  constructor(message: string, public fields: string[]) {
    super(message, "VALIDATION_ERROR", 400);
  }
}

// Usage with proper error handling
async function processPayment(payment: Payment): Promise<Result> {
  try {
    validatePaymentData(payment);
    const result = await paymentGateway.charge(payment);
    await auditLog.record("payment.success", { paymentId: result.id });
    return result;
  } catch (error) {
    if (error instanceof ValidationError) {
      logger.warn("Invalid payment data", { fields: error.fields });
      throw error;
    }
    logger.error("Payment processing failed", { error, payment });
    throw new ApplicationError(
      "Payment processing failed",
      "PAYMENT_ERROR",
      502
    );
  }
}

Implementation Patterns

DRY (Don't Repeat Yourself)

typescript

// ❌ Bad: Repeated logic
function calculateEmployeeSalary(employee: Employee): number {
  if (employee.type === "full-time") {
    return employee.baseSalary * 1.2 + 5000;
  }
  return employee.baseSalary * 1.2;
}

function calculateContractorPay(contractor: Contractor): number {
  return contractor.baseSalary * 1.2;
}

// ✅ Good: Extracted common logic
function applyStandardBonus(baseSalary: number): number {
  return baseSalary * 1.2;
}

function calculateEmployeeSalary(employee: Employee): number {
  const withBonus = applyStandardBonus(employee.baseSalary);
  return employee.type === "full-time" ? withBonus + 5000 : withBonus;
}

Automation Tools

json

// package.json - Automation setup
{
  "scripts": {
    "lint": "eslint . --ext .ts,.tsx",
    "format": "prettier --write \"**/*.{ts,tsx,json,md}\"",
    "type-check": "tsc --noEmit",
    "validate": "npm run lint && npm run type-check && npm run test"
  },
  "husky": {
    "hooks": {
      "pre-commit": "lint-staged"
    }
  },
  "lint-staged": {
    "*.{ts,tsx}": ["eslint --fix", "prettier --write"],
    "*.{json,md}": ["prettier --write"]
  }
}

Integration Points

Links to Security Standards for secure coding
Links to Testing Standards for testable code design
Links to NIST Compliance for SI-10, SI-11 controls

Level 3: Mastery (Extended Learning)

Advanced Topics

1. Performance Optimization Patterns

Memoization:

typescript

function memoize<T extends (...args: any[]) => any>(fn: T): T {
  const cache = new Map<string, ReturnType<T>>();
  return ((...args: Parameters<T>) => {
    const key = JSON.stringify(args);
    if (cache.has(key)) {
      return cache.get(key);
    }
    const result = fn(...args);
    cache.set(key, result);
    return result;
  }) as T;
}

// Usage
const expensiveCalculation = memoize((n: number) => {
  // Complex computation
  return Array.from({ length: n }, (_, i) => i * i).reduce((a, b) => a + b);
});

2. Concurrency Patterns

typescript

// Parallel execution with error handling
async function processItemsConcurrently<T, R>(
  items: T[],
  processor: (item: T) => Promise<R>,
  concurrency: number = 5
): Promise<Array<R | Error>> {
  const results: Array<R | Error> = [];
  const executing: Promise<void>[] = [];

  for (const item of items) {
    const promise = processor(item)
      .then((result) => {
        results.push(result);
      })
      .catch((error) => {
        results.push(error);
      });

    executing.push(promise);

    if (executing.length >= concurrency) {
      await Promise.race(executing);
      executing.splice(
        executing.findIndex((p) => p === promise),
        1
      );
    }
  }

  await Promise.all(executing);
  return results;
}

3. API Design Best Practices

typescript

// RESTful API design
interface ApiResponse<T> {
  data: T;
  meta: {
    timestamp: string;
    requestId: string;
  };
  errors?: ApiError[];
}

// Versioning strategy
app.use("/api/v1", v1Routes);
app.use("/api/v2", v2Routes);

// Pagination standard
interface PaginatedResponse<T> extends ApiResponse<T[]> {
  pagination: {
    page: number;
    pageSize: number;
    totalItems: number;
    totalPages: number;
  };
}

4. Refactoring Strategies

Extract Method:

typescript

// Before
function generateReport(data: Data[]): Report {
  // 100+ lines of complex logic
  const filtered = data.filter(/* complex condition */);
  const transformed = filtered.map(/* complex transformation */);
  const aggregated = transformed.reduce(/* complex aggregation */);
  // More complex logic...
}

// After
function generateReport(data: Data[]): Report {
  const filtered = filterRelevantData(data);
  const transformed = transformDataForReport(filtered);
  const aggregated = aggregateMetrics(transformed);
  return formatReport(aggregated);
}

Resources

Essential Reading

Tools and Frameworks

Linters: ESLint, Pylint, RuboCop, Checkstyle
Formatters: Prettier, Black, gofmt
Static Analysis: SonarQube, CodeClimate, DeepSource
Documentation: JSDoc, Sphinx, Doxygen

Language-Specific Style Guides

Templates

Code Review Checklist

markdown

## Code Review Checklist

### Functionality
- [ ] Code meets requirements
- [ ] Edge cases handled
- [ ] Error handling comprehensive

### Code Quality
- [ ] Follows style guide
- [ ] Names are clear and descriptive
- [ ] Functions are focused (<50 lines)
- [ ] No code duplication

### Testing
- [ ] Unit tests included
- [ ] Tests cover edge cases
- [ ] Tests are maintainable

### Documentation
- [ ] Public APIs documented
- [ ] Complex logic explained
- [ ] README updated if needed

### Security
- [ ] No hardcoded secrets
- [ ] Input validation present
- [ ] SQL injection prevented

Scripts

Complexity Checker

python

#!/usr/bin/env python3
"""Check cyclomatic complexity of Python files."""
import sys
from radon.complexity import cc_visit

def check_complexity(filename: str, max_complexity: int = 10) -> bool:
    """Check if file exceeds complexity threshold."""
    with open(filename) as f:
        code = f.read()

    results = cc_visit(code)
    violations = [r for r in results if r.complexity > max_complexity]

    if violations:
        print(f"❌ {filename}: Complexity violations found")
        for v in violations:
            print(f"  - {v.name}: complexity {v.complexity} (max {max_complexity})")
        return False

    print(f"✅ {filename}: All functions within complexity limit")
    return True

if __name__ == "__main__":
    if len(sys.argv) < 2:
        print("Usage: check_complexity.py <file>")
        sys.exit(1)

    passed = check_complexity(sys.argv[1])
    sys.exit(0 if passed else 1)

Examples

Basic Usage

python

// TODO: Add basic example for coding-standards
// This example demonstrates core functionality

Advanced Usage

python

// TODO: Add advanced example for coding-standards
// This example shows production-ready patterns

Integration Example

python

// TODO: Add integration example showing how coding-standards
// works with other systems and services

See

examples/coding-standards/

for complete working examples.

Integration Points

This skill integrates with:

Upstream Dependencies

Tools: Common development tools and frameworks
Prerequisites: Basic understanding of general concepts

Downstream Consumers

Applications: Production systems requiring coding-standards functionality
CI/CD Pipelines: Automated testing and deployment workflows
Monitoring Systems: Observability and logging platforms

Related Skills

See other skills in this category

Common Integration Patterns

Development Workflow: How this skill fits into daily development
Production Deployment: Integration with production systems
Monitoring & Alerting: Observability integration points

Common Pitfalls

Pitfall 1: Insufficient Testing

Problem: Not testing edge cases and error conditions leads to production bugs

Solution: Implement comprehensive test coverage including:

Happy path scenarios
Error handling and edge cases
Integration points with external systems

Prevention: Enforce minimum code coverage (80%+) in CI/CD pipeline

Pitfall 2: Hardcoded Configuration

Problem: Hardcoding values makes applications inflexible and environment-dependent

Solution: Use environment variables and configuration management:

Separate config from code
Use environment-specific configuration files
Never commit secrets to version control

Prevention: Use tools like dotenv, config validators, and secret scanners

Pitfall 3: Ignoring Security Best Practices

Problem: Security vulnerabilities from not following established security patterns

Solution: Follow security guidelines:

Input validation and sanitization
Proper authentication and authorization
Encrypted data transmission (TLS/SSL)
Regular security audits and updates

Prevention: Use security linters, SAST tools, and regular dependency updates

Best Practices:

Follow established patterns and conventions for coding-standards
Keep dependencies up to date and scan for vulnerabilities
Write comprehensive documentation and inline comments
Use linting and formatting tools consistently
Implement proper error handling and logging
Regular code reviews and pair programming
Monitor production metrics and set up alerts

Bundled Resources

Full CODING_STANDARDS.md
UNIFIED_STANDARDS.md
Example linter configs in
```
./resources/
```
Pre-commit hook templates in
```
./templates/
```
Complexity checking scripts in
```
./scripts/
```

coding-standards

NPX Install

Tags

SKILL.md Content

Coding Standards Skill

Level 1: Quick Start (5 minutes)

What You'll Learn

Core Principles

Quick Reference

Essential Checklist

Common Pitfalls

Level 2: Implementation (30 minutes)

Deep Dive Topics

1. Code Style and Formatting

2. Documentation Standards

3. Architecture Patterns

4. Error Handling

Implementation Patterns

DRY (Don't Repeat Yourself)

Automation Tools

Integration Points

Level 3: Mastery (Extended Learning)

Advanced Topics

1. Performance Optimization Patterns

2. Concurrency Patterns

3. API Design Best Practices

4. Refactoring Strategies

Resources

Essential Reading

Tools and Frameworks

Language-Specific Style Guides

Templates

Code Review Checklist

Scripts

Complexity Checker

Examples

Basic Usage

Advanced Usage

Integration Example

Integration Points

Upstream Dependencies

Downstream Consumers

Related Skills

Common Integration Patterns

Common Pitfalls

Pitfall 1: Insufficient Testing

Pitfall 2: Hardcoded Configuration

Pitfall 3: Ignoring Security Best Practices

Bundled Resources