What problem does it solve? Building secure, well-structured backend services requires consistent decisions across API design, database access, authentication, and caching. This Skill provides concrete implementation patterns and verification checklists so backend work follows proven conventions instead of ad-hoc choices. ## Core Features & Use Cases - API Design Patterns: REST with FastAPI and OpenAPI 3.1, GraphQL with Strawberry, and gRPC service patterns. - Database Integration: PostgreSQL with SQLAlchemy connection pooling, MongoDB with Motor, and Redis caching decorators. - Microservices & Security: Consul service discovery, event-driven messaging with aio_pika, JWT authentication, and bcrypt password hashing. - Use Case: When building a new user management service, use this Skill to scaffold authenticated REST endpoints, configure a pooled PostgreSQL engine, and add Redis-backed response caching with rate limiting. ## Quick Start Ask the AI to design and implement a FastAPI backend with JWT authentication, PostgreSQL integration, and Redis caching for your service.