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Skill · Granular Workflow Bundle

Python fastapi development

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

Agentic Awesome SkillsAdded Sep 5, 2026
Use it in my AI

How to use it

  1. Start your plan and connect your AI once
  2. Add the skill to your AI, one time only: press Copy skill and paste it into your AI's instructions: a project in ChatGPT, Claude or Grok, a Gem in Gemini, an agent in Microsoft 365 Copilot, or a rule in Cursor. It stays there for every new chat. In Kimi, paste it at the start of a new chat.
  3. Ask for the task in your own words, or say it directly:
Use the Python fastapi development skill to help me with this.
SKILL.md

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

CategoryTechnology
FrameworkFastAPI
LanguagePython 3.11+
ORMSQLAlchemy 2.0
ValidationPydantic v2
DatabasePostgreSQL
MigrationsAlembic
AuthJWT, OAuth2
Testingpytest

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.