fastapi-backend

Deploy FastAPI application to Kubernetes cluster with Helm

Start FastAPI development server with hot reload and proper configuration

Build and manage Docker containers for FastAPI application

Generate a complete FastAPI CRUD endpoint with router, schemas, service layer, and tests

Run Beanie/MongoDB migrations and index management

Generate a Beanie document model with indexes, validation, and relationships

Generate a complete FastAPI project structure with best practices

Generate a background task with ARQ, Celery, or Dramatiq

Generate comprehensive pytest test suite for FastAPI endpoints with async support

Generate a WebSocket endpoint with connection management and authentication

FastAPI API architecture specialist for designing scalable, maintainable API structures with domain-driven patterns

Performance optimization specialist for FastAPI applications, analyzing bottlenecks, implementing caching, and optimizing database queries

Security-focused code reviewer for FastAPI applications, identifying vulnerabilities, OWASP compliance, and authentication/authorization issues

Automated pytest test suite generator for FastAPI applications with async support, fixtures, and comprehensive coverage

> Patterns from "Agentic Design Patterns" (Gulli & Sauco, 2025) applied to async Python API development, MongoDB/Beanie data modeling, and production-ready backend services

This skill should be used when the user asks to "create MongoDB model", "define Beanie document", "write MongoDB query", "create aggregation pipeline", "run database migration", "index MongoDB collection", or mentions Beanie, Motor, MongoDB documents, or async database operations. Provides MongoDB/Beanie ODM patterns for FastAPI.

This skill should be used when the user asks to "create background task", "add async job", "implement task queue", "schedule periodic task", "use Celery", "use ARQ", "process async", or mentions background processing, task queues, job scheduling, workers, or async jobs. Provides multiple task queue framework patterns.

This skill should be used when the user asks to "add caching", "implement Redis cache", "cache API response", "invalidate cache", "add cache layer", "optimize with caching", or mentions Redis, caching strategies, cache invalidation, or performance optimization. Provides Redis caching patterns for FastAPI.

This skill should be used when the user asks to "deploy FastAPI to Kubernetes", "create Dockerfile", "build Docker image", "write Helm chart", "configure K8s deployment", "add health checks", "scale FastAPI", or mentions Docker, Kubernetes, K8s, containers, Helm, or deployment. Provides containerization and orchestration patterns.

This skill should be used when the user asks to "add logging", "implement metrics", "add tracing", "configure Prometheus", "setup OpenTelemetry", "add health checks", "monitor API", or mentions observability, APM, monitoring, structured logging, distributed tracing, or Grafana. Provides comprehensive observability patterns.

This skill should be used when the user asks to "create a FastAPI endpoint", "add async route", "implement dependency injection", "create middleware", "handle exceptions", "structure FastAPI project", or mentions FastAPI patterns, routers, or API design. Provides comprehensive FastAPI development patterns with async best practices.

This skill should be used when the user asks to "add WebSocket", "implement real-time", "create file upload", "add S3 upload", "send email", "implement notifications", "broadcast events", or mentions WebSockets, file storage, email service, push notifications, or real-time communication. Provides WebSocket, file upload, and notification patterns.

This skill should be used when the user asks to "add Keycloak authentication", "implement OIDC", "configure SSO", "validate JWT token", "add role-based access", "protect API endpoint", or mentions Keycloak, OAuth2, OpenID Connect, identity provider, or authentication in FastAPI. Provides Keycloak/OIDC integration patterns.