Awesome-omni-skill backend-developer
Specialist for TypeScript backend development including Node.js servers, NestJS applications, APIs, databases (PostgreSQL, MongoDB, Redis), authentication, testing, deployment, server-side code, microservices, database queries, migrations, controllers, services, repositories, and middleware. Use for ANY work involving .ts backend files, server-side architecture, performance optimization, and backend security.
git clone https://github.com/diegosouzapw/awesome-omni-skill
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/backend-developer-benjaming" ~/.claude/skills/diegosouzapw-awesome-omni-skill-backend-developer-83c214 && rm -rf "$T"
skills/development/backend-developer-benjaming/SKILL.mdBackend Developer
Overview
This skill provides expertise in TypeScript backend development with Node.js, NestJS, and modern server-side technologies. Apply this skill when building APIs, implementing database integrations, fixing backend bugs, optimizing performance, or ensuring backend security.
Core Development Principles
TypeScript Configuration
Essential Setup:
- Enable TypeScript strict mode for maximum type safety
- Configure backend-optimized tsconfig.json settings
- Leverage advanced types for better code safety
- Use TypeScript utility types for code reuse
Architecture Patterns
Layered Architecture:
- Implement proper separation: controllers → services → repositories → models
- Use dependency injection and inversion of control principles
- Apply SOLID principles and clean architecture patterns
- Structure by domain boundaries in clear modules
Async/Await Best Practices
Consistent Usage:
- Use async/await consistently throughout codebase
- Handle promises properly with try/catch blocks
- Implement proper error boundaries and graceful degradation
- Apply error handling at appropriate abstraction levels
NestJS Development Guidelines
Service Architecture
Controller and Service Separation:
- Keep controllers lean, delegate business logic to services
- Follow SOLID principles, especially Single Responsibility
- Use constructor injection for all dependencies
- Implement interfaces for repositories and external services
Example Implementation:
// ✅ Good - Single Responsibility @Controller('users') export class UsersController { constructor(private readonly userService: UserService) {} @Post() async create(@Body() dto: CreateUserDto) { return this.userService.create(dto); } } @Injectable() export class UserService { constructor(private readonly userRepository: IUserRepository) {} async create(dto: CreateUserDto) { return this.userRepository.create(dto); } } // ✅ Good - Dependency Inversion @Module({ providers: [ { provide: 'UserRepository', useClass: TypeOrmUserRepository } ], }) export class UsersModule {}
Dependency Injection
Best Practices:
- Always use constructor injection
- Inject interfaces, not concrete implementations
- Define clear provider tokens for dependency resolution
- Use custom providers for complex dependency scenarios
TypeORM Patterns
Entity-First Design
Schema Definition:
- Drive database schema through TypeORM entities
- Use decorators for columns, relationships, and constraints
- Implement entity lifecycle hooks (BeforeInsert, BeforeUpdate) for validation
Example:
@Entity('users') export class UserEntity { @PrimaryGeneratedColumn('uuid') id: string; @Column() email: string; @BeforeInsert() @BeforeUpdate() validateData() { // Validation logic here if (!this.email.includes('@')) { throw new Error('Invalid email'); } } }
Repository Pattern
Data Access Encapsulation:
- Create custom repositories for complex queries
- Encapsulate data access logic
- Use query builders for type-safe dynamic queries
Example:
@Injectable() export class CustomUserRepository extends Repository<UserEntity> { async findActiveUsers(): Promise<UserEntity[]> { return this.createQueryBuilder('user') .where('user.isActive = :isActive', { isActive: true }) .orderBy('user.createdAt', 'DESC') .getMany(); } }
Performance Optimization
Async Operation Parallelization
Critical Pattern: When multiple independent async operations can run concurrently, use
Promise.all() to parallelize them for significant performance gains (15-40% latency reduction).
Example:
// ✅ Good - Parallelized independent operations (~40% faster) async searchByAccount(account: Account): Promise<ContactData[]> { const startTime = Date.now(); // Parallelize independent operations that don't depend on each other const [domainResult, keywordsResult] = await Promise.all([ // Operation 1: Domain lookup this.domainService.findDomain(account.domain).then(result => { this.logger.log(`Domain lookup completed in ${Date.now() - startTime}ms`); return result; }), // Operation 2: Keywords generation this.keywordService.generateKeywords(account).then(result => { this.logger.log(`Keywords generation completed in ${Date.now() - startTime}ms`); return result; }) ]); // Use results for subsequent operations return this.processContactData(domainResult, keywordsResult); } // ❌ Bad - Sequential operations (unnecessary wait time) async searchByAccount(account: Account): Promise<ContactData[]> { const domainResult = await this.domainService.findDomain(account.domain); const keywordsResult = await this.keywordService.generateKeywords(account); return this.processContactData(domainResult, keywordsResult); }
Key Benefits:
- 15-40% latency reduction for independent operations
- Better resource utilization
- Improved user experience with faster responses
- Reduced total execution time
Performance Monitoring Integration
Comprehensive Metrics: Always measure and monitor performance improvements with proper metrics.
// ✅ Good - Comprehensive timing metrics for parallel operations async getInitialContactData(params: SearchParams): Promise<ContactData> { const overallStart = Date.now(); const salesforceStart = Date.now(); const providerStart = Date.now(); const [salesforceContacts, providerContacts] = await Promise.all([ this.salesforceService.searchContacts(params).then(result => { this.metricsService.gauge('salesforce_search.latency', Date.now() - salesforceStart); return result; }), this.providerService.searchContacts(params).then(result => { this.metricsService.gauge('provider_search.latency', Date.now() - providerStart); return result; }) ]); this.metricsService.gauge('parallel_contact_search.latency', Date.now() - overallStart); return this.mergeContactData(salesforceContacts, providerContacts); } // Track performance improvement metrics this.metricsService.histogram('contact_discovery.latency_reduction', reductionPercentage);
Performance Optimization Decision Matrix
| Scenario | Optimization Technique | Expected Improvement |
|---|---|---|
| Independent async operations | parallelization | 15-40% latency reduction |
| Sequential API calls | Concurrent requests with error handling | 20-50% improvement |
| Heavy computations | Caching with Redis/in-memory | Variable based on computation |
| Large data sets | Pagination, lazy loading | Dramatic API responsiveness |
| External service calls | Request deduplication, intelligent caching | Reduces redundant network calls |
| Database queries | Indexing, query optimization, connection pool | 50-90% query time reduction |
Key Insight: Always analyze operation dependencies before optimization - independent operations are prime candidates for parallelization.
Database Optimization
Query Performance:
- Implement proper database indexing
- Optimize database queries with query builders
- Use connection pooling and manage connections efficiently
- Apply proper database migrations and seeding strategies
Connection Management:
- Configure connection pooling appropriately
- Monitor connection usage and leaks
- Implement proper connection lifecycle management
- Use read replicas for read-heavy operations
API Development
RESTful API Design
Best Practices:
- Follow REST API design principles
- Use proper HTTP status codes (200, 201, 400, 401, 404, 500, etc.)
- Implement proper request validation and sanitization
- Follow semantic versioning for API endpoints
Error Handling
Comprehensive Strategy:
- Set up comprehensive error handling with custom error classes
- Use proper HTTP status codes for different error types
- Implement proper error boundaries
- Provide meaningful error messages without exposing sensitive information
Request Validation
Input Sanitization:
- Implement proper request validation at controller level
- Use DTOs (Data Transfer Objects) with class-validator
- Sanitize user inputs to prevent injection attacks
- Validate both structure and content of requests
Security Best Practices
Authentication & Authorization
Implementation:
- Implement JWT, OAuth, or session-based auth
- Apply proper security measures for token management
- Use proper password hashing (bcrypt, argon2)
- Implement role-based access control (RBAC)
Security Hardening
Essential Measures:
- Apply input validation and sanitization
- Configure CORS properly
- Use helmet middleware for security headers
- Implement rate limiting and request throttling
- Manage environment variables securely
- Never commit secrets to version control
Logging & Monitoring
Structured Logging
Configuration:
- Configure structured logging with Winston or similar
- Use proper logging levels (error, warn, info, debug)
- Implement request/response logging
- Include correlation IDs for distributed tracing
Observability
Health Checks:
- Implement health check endpoints
- Monitor application metrics
- Set up alerts for critical errors
- Track performance metrics over time
Testing Strategy
Test Coverage
Comprehensive Testing:
- Write unit tests for business logic
- Implement integration tests for API endpoints
- Create E2E tests for critical user flows
- Use Jest, Supertest, or similar frameworks
- Aim for >80% code coverage for critical paths
Test Organization
Best Practices:
- Follow AAA pattern (Arrange, Act, Assert)
- Mock external dependencies properly
- Use test fixtures and factories
- Keep tests isolated and independent
Deployment & DevOps
CI/CD Integration
Automation:
- Implement proper CI/CD pipelines
- Automate testing and deployment
- Use environment-based configuration management
- Implement blue-green or canary deployments
Documentation
API Documentation:
- Create API documentation with Swagger/OpenAPI
- Maintain comprehensive README files
- Document environment variables and configuration
- Provide setup and deployment instructions
Implementation Workflow
When applying this skill to backend development tasks:
- Project Analysis: Assess current backend structure, dependencies, and architecture patterns
- Architecture Design: Plan layered architecture with proper separation of concerns
- Database Integration: Implement database connections with proper ORM/ODM setup
- API Development: Create APIs with proper routing, middleware, and validation
- Security Implementation: Apply authentication, authorization, and security hardening
- Performance Optimization: Implement caching, parallelization, and query optimization
- Testing: Write comprehensive unit, integration, and E2E tests
- Logging & Monitoring: Configure structured logging and observability features
- Documentation: Create API docs and maintain README files
Common Anti-Patterns to Avoid
Architecture:
- ❌ Fat controllers with business logic
- ❌ Direct database access from controllers
- ❌ Circular dependencies between modules
- ❌ Missing dependency injection
Performance:
- ❌ Sequential execution of independent async operations
- ❌ Missing database indexes on frequently queried columns
- ❌ No connection pooling
- ❌ Missing caching for expensive operations
Security:
- ❌ Storing passwords in plain text
- ❌ Missing input validation
- ❌ Exposing sensitive data in error messages
- ❌ Hardcoded secrets in code
Error Handling:
- ❌ Swallowing errors silently
- ❌ Generic error messages that don't help debugging
- ❌ Missing try/catch blocks for async operations
- ❌ Improper HTTP status codes