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VKirill
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fastapi

Generate production-grade async FastAPI HTTP APIs with typed path operations and Pydantic v2 models.

15|2|Updated May 23, 2026
Search Tags:#fastapi#dependency injection#pydantic v2#jwt security#openapi 3.1#streaming sse#async api
One-click install
npx skills add https://github.com/VKirill/antigravity-for-claude-code --skill fastapi-vkirill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastapi
Source: https://github.com/VKirill/antigravity-for-claude-code/tree/main/skills/fastapi
Command: npx skills add https://github.com/VKirill/antigravity-for-claude-code --skill fastapi-vkirill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

FastAPI helps you create reliable, async Python HTTP APIs with strong request/response validation, automatic OpenAPI docs, and structured dependency injection so you can ship features without brittle glue code.

Core Features & Use Cases

  • Async path operations with typed parameters: define routes using Annotated parameters and get consistent parsing for path, query, headers, cookies, forms, and files.
  • Pydantic v2 request/response contracts: enforce schemas with BaseModel and response_model, including OpenAPI-aligned serialization behavior.
  • Production fundamentals baked in: implement lifespan, dependency cleanup via yield, JWT/OAuth2 security, middleware (CORS/GZip/custom), streaming/SSE/WebSockets, async SQLAlchemy integration, testing with TestClient/httpx, and deployment-ready worker guidance.

Use case example: You’re migrating an auth-protected REST API from a legacy async stack to FastAPI and need JWT security, consistent CORS behavior, correct 422 validation errors, streaming/SSE endpoints, and a clean OpenAPI contract for typed clients.

Quick Start

Ask the FastAPI skill to design your endpoint using Annotated params, a response_model, proper Depends/security dependencies, and a lifespan-based async setup for shared resources.

Frequently Asked Questions about fastapi

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

FAQPage Schema
How do I build production-ready async Python APIs with automatic OpenAPI documentation?▼

Build production-ready async Python APIs by defining typed path operations using Annotated parameters and Pydantic v2 models to enforce schemas, which automatically generates OpenAPI 3.1 documentation and typed clients.

How does dependency injection work in FastAPI for managing database sessions and auth?▼

FastAPI dependency injection uses Depends and SecurityScopes to manage auth flows and database sessions, executing yield-based cleanup for per-request resources to ensure configuration and connections are handled safely.

Can I use FastAPI for streaming endpoints like Server-Sent Events and WebSockets?▼

FastAPI supports streaming endpoints including Server-Sent Events (SSE) and WebSockets, allowing you to build real-time async API communications alongside standard REST routes with consistent response_model contracts.

What is the best way to structure a large FastAPI application with routers and middleware?▼

Structure large FastAPI applications by modularizing routes with APIRouters, applying middleware for CORS and GZip compression, and using lifespan events to manage shared async resources during startup and shutdown.

How do I enforce JWT security and OAuth2 scopes in an async FastAPI application?▼

Enforce JWT security and OAuth2 scopes in FastAPI by implementing SecurityScopes within your dependency injection tree, validating tokens per request to protect path operations and generate accurate OpenAPI 3.1 security requirements.

Does FastAPI require async SQLAlchemy for database operations to be deployment-safe?▼

FastAPI requires async-safe execution for deployment correctness, making async SQLAlchemy integration the standard approach for database operations to prevent blocking the event loop during concurrent HTTP requests.

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