fastapi

Build and validate asynchronous FastAPI APIs with Pydantic schemas and async database access.

26|8|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/arbazkhan971/godmode --skill fastapi-arbazkhan971
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi
Source: https://github.com/arbazkhan971/godmode/tree/main/skills/fastapi
Command: npx skills add https://github.com/arbazkhan971/godmode --skill fastapi-arbazkhan971

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

FastAPI mastery eliminates common pitfalls when building asynchronous Python APIs by enforcing correct async patterns, robust schema validation, safe dependency injection, and reliable async database access to prevent N+1 queries, connection leaks, and broken tests.

Core Features & Use Cases

  • Schema-first validation and contracts: clear Pydantic Create/Update/Response separation and validators to prevent invalid inputs from reaching business logic.
  • Async database and DI patterns: guidance on async drivers, connection pooling, selectin loading to avoid N+1, and yield-based dependency lifecycles for testability and resource safety.
  • Testing and delivery workflows: pytest + HTTPX async testing, Alembic migrations, background task strategies, WebSocket best practices, and stop/rollback rules for iterative automated changes.
  • Use Case: Convert a synchronous Python API into a fully async FastAPI service with async SQLAlchemy, comprehensive schema tests, and safe CI deployment.

Quick Start

Use the fastapi skill to scaffold and harden an async API with Pydantic schemas, async DB access, dependency injection, and async tests.

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 FastAPI services with Pydantic schema validation?

Build production-ready async FastAPI services by enforcing clear Pydantic Create/Update/Response schema separation and validators to prevent invalid inputs from reaching business logic. This approach ensures robust schema validation and safe API contracts.

How does dependency injection work with async database access in FastAPI?

Dependency injection in FastAPI uses yield-based dependency lifecycles via Depends to manage async database access. This pattern ensures testability and resource safety by properly handling connection pooling and preventing connection leaks.

What's the best way to avoid N+1 queries in async SQLAlchemy with FastAPI?

Avoid N+1 queries in async SQLAlchemy by applying selectin loading and enforcing correct async database patterns. This strategy optimizes relationship loading within your async DB drivers to prevent performance bottlenecks.

How do I test async FastAPI APIs using pytest and HTTPX?

Test async FastAPI APIs using pytest and HTTPX for comprehensive async testing workflows. This combination validates your Pydantic schema contracts, async database access, and dependency injection logic to prevent broken tests.

Does FastAPI support WebSocket endpoints and background tasks in production?

FastAPI supports WebSocket endpoints and background tasks for production services. The framework provides specific best practices and stop/rollback rules for iterative automated changes when implementing these features.

Can I use Alembic migrations with async database drivers in FastAPI?

Alembic migrations work with async database drivers in FastAPI to manage schema changes. This integration is part of the testing and delivery workflows that ensure safe CI deployment for asynchronous Python APIs.