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python-fastapi-development

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

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技能内容

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
  • 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.

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