python-fastapi-development
Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
By sickn33 · 528 installs
npx skills add sickn33/agentic-awesome-skills --skill python-fastapi-development
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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
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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
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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
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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
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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
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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
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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
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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
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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
database Database operations
security audit Security testing
api development API patterns
Limitations
Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.