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APIs & servers (backend)48k · #3933

python-fastapi-development

Has your agent develop Python backends using FastAPI. It handles async patterns, databases, authentication, and production API patterns.

What it does

This guide helps you build fast, production-ready web applications using Python and the FastAPI library. It covers everything from initial setup to deployment, including databases, security, and testing.

When to use it

  • ✓Building a new web API with FastAPI.
  • ✓Developing a Python backend system that needs to be fast.
  • ✓Integrating a database (like PostgreSQL) with your application.

Example of what to ask your AI

“I want to create a Python web API using FastAPI to manage users, with login and registration. Set up the PostgreSQL database and JWT authentication.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/python-fastapi-development/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/python-fastapi-development/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

It works by guiding you through steps: first setting up the project, then the database, then the API routes, adding security, and finally teaching you how to test and deploy.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill python-fastapi-development

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/python-fastapi-development/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Python/FastAPI Development Workflow

Overview

Specialized workflow for building production-ready Python backends with FastAPI, featuring async patterns, SQLAlchemy ORM, Pydantic validation, and comprehensive API patterns.

When to Use This Workflow

Use this workflow when:

  • Building new REST APIs with FastAPI
  • Creating async Python backends
  • Implementing database integration with SQLAlchemy
  • Setting up API authentication
  • Developing microservices

Workflow Phases

Phase 1: Project Setup

Skills to Invoke

  • app-builder - Application scaffolding
  • python-development-python-scaffold - Python scaffolding
  • fastapi-templates - FastAPI templates
  • uv-package-manager - Package management

Actions

  1. Set up Python environment (uv/poetry)
  2. Create project structure
  3. Configure FastAPI app
  4. Set up logging
  5. Configure environment variables

Copy-Paste Prompts

Use @fastapi-templates to scaffold a new FastAPI project
Use @python-development-python-scaffold to set up Python project structure

Phase 2: Database Setup

Skills to Invoke

  • prisma-expert - Prisma ORM (alternative)
  • database-design - Schema design
  • postgresql - PostgreSQL setup
  • pydantic-models-py - Pydantic models

Actions

  1. Design database schema
  2. Set up SQLAlchemy models
  3. Create database connection
  4. Configure migrations (Alembic)
  5. Set up session management

Copy-Paste Prompts

Use @database-design to design PostgreSQL schema
Use @pydantic-models-py to create Pydantic models for API

Phase 3: API Routes

Skills to Invoke

  • fastapi-router-py - FastAPI routers
  • api-design-principles - API design
  • api-patterns - API patterns

Actions

  1. Design API endpoints
  2. Create API routers
  3. Implement CRUD operations
  4. Add request validation
  5. Configure response models

Copy-Paste Prompts

Use @fastapi-router-py to create API endpoints with CRUD operations
Use @api-design-principles to design RESTful API

Phase 4: Authentication

Skills to Invoke

  • auth-implementation-patterns - Authentication
  • api-security-best-practices - API security

Actions

  1. Choose auth strategy (JWT, OAuth2)
  2. Implement user registration
  3. Set up login endpoints
  4. Create auth middleware
  5. Add password hashing

Copy-Paste Prompts

Use @auth-implementation-patterns to implement JWT authentication

Phase 5: Error Handling

Skills to Invoke

  • fastapi-pro - FastAPI patterns
  • error-handling-patterns - Error handling

Actions

  1. Create custom exceptions
  2. Set up exception handlers
  3. Implement error responses
  4. Add request logging
  5. Configure error tracking

Copy-Paste Prompts

Use @fastapi-pro to implement comprehensive error handling

Phase 6: Testing

Skills to Invoke

  • python-testing-patterns - pytest testing
  • api-testing-observability-api-mock - API testing

Actions

  1. Set up pytest
  2. Create test fixtures
  3. Write unit tests
  4. Implement integration tests
  5. Configure test database

Copy-Paste Prompts

Use @python-testing-patterns to write pytest tests for FastAPI

Phase 7: Documentation

Skills to Invoke

  • api-documenter - API documentation
  • openapi-spec-generation - OpenAPI specs

Actions

  1. Configure OpenAPI schema
  2. Add endpoint documentation
  3. Create usage examples
  4. Set up API versioning
  5. Generate API docs

Copy-Paste Prompts

Use @api-documenter to generate comprehensive API documentation

Phase 8: Deployment

Skills to Invoke

  • deployment-engineer - Deployment
  • docker-expert - Containerization

Actions

  1. Create Dockerfile
  2. Set up docker-compose
  3. Configure production settings
  4. Set up reverse proxy
  5. Deploy to cloud

Copy-Paste Prompts

Use @docker-expert to containerize FastAPI application

Technology Stack

Category Technology
Framework FastAPI
Language Python 3.11+
ORM SQLAlchemy 2.0
Validation Pydantic v2
Database PostgreSQL
Migrations Alembic
Auth JWT, OAuth2
Testing pytest

Quality Gates

  • All tests passing (>80% coverage)
  • Type checking passes (mypy)
  • Linting clean (ruff, black)
  • API documentation complete
  • Security scan passed
  • Performance benchmarks met

Related Workflow Bundles

  • development - General development

…

FAQ

What is FastAPI?

FastAPI is a modern, fast tool for building web APIs with Python, making it easier to create web services.

What is SQLAlchemy?

SQLAlchemy is a tool that helps your Python code talk to relational databases like PostgreSQL.

What is Pydantic?

Pydantic is used to validate the data going into and out of your API, ensuring everything is in the correct format.

Details

Original description by the author

Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#3933
License
MIT
Updated
10/15/2026

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