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fastapi-pro

Guides building async FastAPI services with Pydantic validation, authentication, testing, and deployment.

Updated Jun 12, 2026
Search Tags:#pydantic#fastapi#python#microservices#api development#async#rest api
One-click install
npx skills add https://github.com/bilacchi/agents-skills --skill fastapi-pro-bilacchi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastapi-pro
Source: https://github.com/bilacchi/agents-skills/tree/main/skills/fastapi-pro
Command: npx skills add https://github.com/bilacchi/agents-skills --skill fastapi-pro-bilacchi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Building production FastAPI services involves many decisions across async patterns, data validation, security, testing, and deployment, and this Skill provides structured expert guidance so you avoid common architectural mistakes. ## Core Features & Use Cases - Async API Development: Design endpoints with FastAPI 0.100+, Pydantic V2 models, dependency injection, WebSockets, and background tasks. - Data & Security Layers: Integrate SQLAlchemy 2.0 async ORM, Redis caching, OAuth2/JWT authentication, and role-based access control. - Testing & Deployment: Write pytest-asyncio test suites, add observability with OpenTelemetry and Prometheus, and containerize with Docker and Kubernetes. - Use Case: Ask it to scaffold a FastAPI microservice with async SQLAlchemy, JWT authentication, rate limiting, and a Docker deployment setup, and receive step-by-step implementation guidance. ## Quick Start Ask the assistant to create a FastAPI microservice with async SQLAlchemy, JWT authentication, and Docker deployment configuration.

Frequently Asked Questions about fastapi-pro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an async FastAPI microservice with SQLAlchemy?▼

Use SQLAlchemy 2.0 with an async driver like asyncpg, define models with Pydantic V2 schemas, and inject sessions via FastAPI dependencies. Apply the repository pattern and connection pooling to keep endpoints non-blocking.

How to implement JWT authentication in FastAPI?▼

Implement OAuth2 with JWT tokens using python-jose or pyjwt, create token issuance and refresh endpoints, and protect routes with dependency-injected token verification. Add role-based access control for permission-scoped endpoints.

Does FastAPI support WebSockets and background tasks?▼

Yes, FastAPI natively supports WebSocket endpoints for real-time communication and BackgroundTasks for post-response work. For heavier jobs, integrate task queues like Celery or Dramatiq with Redis or RabbitMQ.

How do I test async FastAPI endpoints with pytest?▼

Use pytest with pytest-asyncio and FastAPI's TestClient for integration tests. Combine factory_boy or Faker for test data, pytest-mock for external services, and pytest-cov for coverage analysis.

Why is my FastAPI endpoint slow under load?▼

Common causes include blocking synchronous calls in async handlers, missing database connection pooling, and N+1 query patterns. Fix them with async drivers, eager loading, Redis caching, and response compression.

When should I not use FastAPI for a project?▼

FastAPI may not fit CPU-bound workloads that need true parallelism, since async excels at I/O-bound concurrency. For simple synchronous scripts or non-HTTP tooling, a lighter framework or plain Python is more appropriate.

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