Total 44,203 skills, Backend Development has 3830 skills
Showing 12 of 3830 skills
Implement subscription-tier aware API rate limiting with sliding window algorithm. Use when building SaaS APIs that need per-user or per-tier rate limits with Redis or in-memory storage.
Collect-then-batch pattern for database operations achieving 30-40% throughput improvement. Includes graceful fallback to sequential processing when batch operations fail.
Implement idempotent API operations to safely handle retries and prevent duplicate processing. Use when building payment APIs, order systems, or any operation that must not be executed twice.
Implement health check endpoints for load balancers, Kubernetes, and monitoring. Covers liveness, readiness, and dependency checks.
Implement Supabase authentication with SSR support. Email/password auth with automatic session management via cookies. Includes login, signup, email confirmation, and user profiles.
Two-phase commit matchmaking that verifies both player connections before creating a match. Handles disconnections gracefully with automatic re-queue of healthy players.
Manage concurrent background workers with scheduling, dependencies, health monitoring, and automatic disabling of failing workers.
Implement authentication and authorization using JWT, Basic Auth, or custom schemes. Use for securing API endpoints and user management.
Handle file uploads (single/multiple), downloads, and multipart forms. Use for file management, image uploads, and content delivery.
Comprehensive guide for production-ready Python backend development and software architecture at scale. Use when designing APIs, building backend services, creating microservices, structuring Python projects, implementing database patterns, writing async code, or any Python backend/server-side development task. Covers Clean Architecture, Domain-Driven Design, Event-Driven Architecture, FastAPI/Django patterns, database design, caching strategies, observability, security, testing strategies, and deployment patterns for high-scale production systems.
Domain-Driven Design system for software development. Use when designing new systems with DDD principles, refactoring existing codebases toward DDD, generating code scaffolding (entities, aggregates, repositories, domain events), facilitating Event Storming sessions, creating bounded context maps, or performing code reviews with a DDD lens. Covers both strategic design (bounded contexts, subdomains, context maps, ubiquitous language) and tactical design (entities, value objects, aggregates, domain services, repositories). Supports all major architecture patterns (Hexagonal/Ports & Adapters, CQRS, Event Sourcing, Clean Architecture) with language-agnostic guidance and concrete examples in Python and TypeScript.
Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill when designing or implementing Python backend services that require maintainability, testability, and scalability.