Agent skill · software engineering · aiskillstore

fastapi-templates

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

Why this skill is useful

Provides a structured template for FastAPI projects that includes async patterns and dependency injection, which the AI wouldn't reliably generate on its own.

What it needs

Requires fastapi, pydantic_settings, sqlalchemy installed locally. About 6k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.

What this skill does

FastAPI Project Templates Production-ready FastAPI project structures with async patterns, dependency injection, middleware, and best practices for building high-performance APIs. When to Use This Skill Starting new FastAPI projects from scratch Implementing async REST APIs with Python Building high-performance web services and microservices Creating async applications with PostgreSQL, MongoDB Setting up API projects with proper structure and testing Core Concepts 1. Project Structure Recommended Layout: 2. Dependency Injection FastAPI's built-in DI system using Depends: Database session management Authentication/authorization Shared business logic Configuration injection 3. Async Patterns Proper async/await usage: Async route handlers Async database operations Async background tasks Async middleware Implementation Patterns Pattern 1: Complete FastAPI Application Pattern 2: CRUD Repository Pattern Pattern 3: Service Layer Pattern 4: API Endpoints with Dependencies Pattern 5: Authentication & Authorization Testing Resources references/fastapi-architecture.md: Detailed architecture guide references/async-best-practices.md: Async/await patterns references/testing-strategies.md: Comprehensive testing guide assets/project-template/: Complete FastAPI project assets/docker-compose.yml: Development environment setup Best Practices 1. Async All The Way: Use async for database, external APIs 2. Dependency Injection: Leverage FastAPI's DI system 3. Repository Pattern: Separate data access from business logic 4. Service Layer: Keep business logic out of routes 5. Pydantic Schemas: Strong typing for request/response 6. Error Handling: Consistent error responses 7. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aiskillstore/fastapi-templates--a62d05

View the source on GitHub

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