Python Fastapi Development
Python Fastapi Development is an code AI skill with a core value of Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
Quick Facts
mkdir -p ./skills/python-fastapi-development && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/python-fastapi-development/SKILL.md -o ./skills/python-fastapi-development/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# 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 projectUse @python-development-python-scaffold to set up Python project structurePhase 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 schemaUse @pydantic-models-py to create Pydantic models for APIPhase 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 operationsUse @api-design-principles to design RESTful APIPhase 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 authenticationPhase 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 handlingPhase 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 FastAPIPhase 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 documentationPhase 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 applicationTechnology Stack
| Category | Technology |
|----------|------------|
| Framework |
🎯 Best For
- Claude users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Python code quality enforcement
- Dependency management
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Python Fastapi Development to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Python Fastapi Development compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Python Fastapi Development?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Python Fastapi Development?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/python-fastapi-development/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.