Total 44,222 skills, Backend Development has 3830 skills
Showing 12 of 3830 skills
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.
Professional Pydantic v2.12 development for data validation, serialization, and type-safe models. Use when working with Pydantic for (1) creating or modifying BaseModel classes, (2) implementing validators and serializers, (3) configuring model behavior, (4) handling JSON schema generation, (5) working with settings management, (6) debugging validation errors, (7) integrating with ORMs or APIs, or (8) any production-grade Python data validation tasks. Includes complete API reference, concept guides, examples, and migration patterns.
Exclusive skill set for the GoFrame development framework. Provides a complete framework usage guide for Go language developers, covering best practices for core components such as command-line management, configuration management, logging components, error handling, data validation, type conversion, cache management, template engines, database ORM, and I18n internationalization. Includes project engineering structure specifications, development model guidelines, solutions to common problems, and rich practical code examples. Suitable for building various Go projects such as RESTful APIs, gRPC microservices, and web applications, helping developers quickly master the features of the GoFrame framework and improve development efficiency and code quality.
Guides using bun.sys for system calls and file I/O in Zig. Use when implementing file operations instead of std.fs or std.posix.