MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

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.

Last verified on: 2026-07-07

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
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

text
Use @fastapi-templates to scaffold a new FastAPI project

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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

text
Use @database-design to design PostgreSQL schema

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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

text
Use @fastapi-router-py to create API endpoints with CRUD operations

text
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

text
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

text
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

text
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

text
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

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Use @docker-expert to containerize FastAPI application

Technology 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. 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. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 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. 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.

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