python-fastapi-development

sickn33/antigravity-awesome-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill python-fastapi-development
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summary

Specialized workflow for building production-ready Python backends with FastAPI, featuring async patterns, SQLAlchemy ORM, Pydantic validation, and comprehensive API patterns.

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

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
how to use python-fastapi-development

How to use python-fastapi-development on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add python-fastapi-development
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill python-fastapi-development

The skills CLI fetches python-fastapi-development from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/python-fastapi-development

Reload or restart Cursor to activate python-fastapi-development. Access the skill through slash commands (e.g., /python-fastapi-development) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.654 reviews
  • Emma Verma· Dec 28, 2024

    python-fastapi-development has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Pratham Ware· Dec 20, 2024

    I recommend python-fastapi-development for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chaitanya Patil· Dec 16, 2024

    We added python-fastapi-development from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Emma Abbas· Dec 4, 2024

    python-fastapi-development fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ama Diallo· Dec 4, 2024

    Useful defaults in python-fastapi-development — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Emma Mensah· Dec 4, 2024

    Keeps context tight: python-fastapi-development is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chinedu Chawla· Nov 23, 2024

    We added python-fastapi-development from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Emma Rahman· Nov 23, 2024

    python-fastapi-development has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hassan Martin· Nov 23, 2024

    python-fastapi-development is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Yuki Rao· Nov 19, 2024

    Useful defaults in python-fastapi-development — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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