Python Fastapi Development

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

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

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Python Fastapi Development"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags python-fastapi-development workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.