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
Ready-to-paste message
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-developmentOr 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.mdTechnical 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 scaffoldingpython-development-python-scaffold- Python scaffoldingfastapi-templates- FastAPI templatesuv-package-manager- Package management
Actions
- Set up Python environment (uv/poetry)
- Create project structure
- Configure FastAPI app
- Set up logging
- 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 designpostgresql- PostgreSQL setuppydantic-models-py- Pydantic models
Actions
- Design database schema
- Set up SQLAlchemy models
- Create database connection
- Configure migrations (Alembic)
- 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 routersapi-design-principles- API designapi-patterns- API patterns
Actions
- Design API endpoints
- Create API routers
- Implement CRUD operations
- Add request validation
- 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- Authenticationapi-security-best-practices- API security
Actions
- Choose auth strategy (JWT, OAuth2)
- Implement user registration
- Set up login endpoints
- Create auth middleware
- Add password hashing
Copy-Paste Prompts
Use @auth-implementation-patterns to implement JWT authentication
Phase 5: Error Handling
Skills to Invoke
fastapi-pro- FastAPI patternserror-handling-patterns- Error handling
Actions
- Create custom exceptions
- Set up exception handlers
- Implement error responses
- Add request logging
- Configure error tracking
Copy-Paste Prompts
Use @fastapi-pro to implement comprehensive error handling
Phase 6: Testing
Skills to Invoke
python-testing-patterns- pytest testingapi-testing-observability-api-mock- API testing
Actions
- Set up pytest
- Create test fixtures
- Write unit tests
- Implement integration tests
- 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 documentationopenapi-spec-generation- OpenAPI specs
Actions
- Configure OpenAPI schema
- Add endpoint documentation
- Create usage examples
- Set up API versioning
- Generate API docs
Copy-Paste Prompts
Use @api-documenter to generate comprehensive API documentation
Phase 8: Deployment
Skills to Invoke
deployment-engineer- Deploymentdocker-expert- Containerization
Actions
- Create Dockerfile
- Set up docker-compose
- Configure production settings
- Set up reverse proxy
- 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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3933
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
api-connector-builder
Has your agent build new API connections following the existing pattern. Use when you need to add one more integration without creating a new way of doing things.
affaan-m/ECC
api-design
Helps your agent design REST APIs following best practices. It's useful for defining how APIs communicate, how errors are shown, and how to organize data.
affaan-m/ECC
backend-patterns
Helps your agent with server-side architecture patterns and database optimization. It's useful for building or reviewing code that runs on the server.
affaan-m/ECC