Agent skill · software engineering · aiskillstore
fastapi-mastery
Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and deployment. Use when working with FastAPI projects, building APIs, implementing CRUD operations, setting up authentication/authorization, integrating databases (SQL/NoSQL), adding middleware, handling WebSockets, or deploying FastAPI applications. Triggered by requests involving .py files with FastAPI code, API endpoint creation, Pydantic models, or FastAPI-specific features.
Why this skill is useful
Provides domain-specific knowledge on FastAPI features, including CRUD operations, authentication, and database integration that the AI wouldn't reliably generate on its own.
What it needs
Requires sqlalchemy, uvicorn installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
FastAPI Mastery Overview Build production-ready REST APIs with FastAPI using modern Python features, automatic validation, interactive documentation, and asynchronous capabilities. Quick Start Create a basic FastAPI application: Run with: Access interactive docs: http://localhost:8000/docs Skill Structure by Complexity Level This skill is organized into three progressive levels: Beginner (references/01-beginner.md) Read when working with: First FastAPI application setup Basic routing and path operations Request parameters (path, query, body) Pydantic models and validation Response models and status codes Basic error handling Intermediate (references/02-intermediate.md) Read when implementing: Authentication and authorization (JWT, OAuth2) Database integration (SQLAlchemy, async databases) Dependency injection system Middleware and CORS Background tasks File uploads and downloads Advanced (references/03-advanced.md) Read when building: WebSocket connections Testing strategies (pytest, TestClient) Performance optimization Containerization and deployment API versioning Advanced error handling and logging Common Development Workflows Building a CRUD API 1. Define Pydantic models for request/response 2. Set up database models (SQLAlchemy) 3. Create path operations (GET, POST, PUT, DELETE) 4. Add validation and error handling 5. Implement authentication if needed 6. Add tests See references/01-beginner.md for basic CRUD patterns, references/02-intermediate.md for database integration. Adding Authentication 1. Choose authentication method (JWT, OAuth2, API keys) 2. Set up security dependencies 3. Create login endpoint 4. Protect routes with dependencies 5. Handle token refresh if using JWT See references/02-intermediate.md for complete authentication implementation. Database Integration 1. Choose database (PostgreSQL, MySQL, MongoDB) 2. Install and configure ORM (SQLAlchemy, Tortoise, Motor) 3. Define database models 4. Set up database connection and session management 5. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/fastapi-mastery