fastapi-development

aj-geddes/useful-ai-prompts · updated Apr 23, 2026

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$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill fastapi-development
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summary

Create fast, modern Python APIs using FastAPI with async/await support, automatic API documentation, type validation using Pydantic, dependency injection, JWT authentication, and SQLAlchemy ORM integration.

skill.md

FastAPI Development

Table of Contents

Overview

Create fast, modern Python APIs using FastAPI with async/await support, automatic API documentation, type validation using Pydantic, dependency injection, JWT authentication, and SQLAlchemy ORM integration.

When to Use

  • Building high-performance Python REST APIs
  • Creating async API endpoints
  • Implementing automatic OpenAPI/Swagger documentation
  • Leveraging Python type hints for validation
  • Building microservices with async support
  • Integrating Pydantic for data validation

Quick Start

Minimal working example:

# main.py
from fastapi import FastAPI, HTTPException, status
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
import logging

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Create FastAPI instance
app = FastAPI(
    title="API Service",
    description="A modern FastAPI application",
    version="1.0.0",
    docs_url="/api/docs",
    openapi_url="/api/openapi.json"
)

# Add CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["http://localhost:3000"],
    allow_credentials=True,
    allow_methods=["*"],
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
FastAPI Application Setup FastAPI Application Setup
Pydantic Models for Validation Pydantic Models for Validation
Async Database Models and Queries Async Database Models and Queries
Security and JWT Authentication Security and JWT Authentication
Service Layer for Business Logic Service Layer for Business Logic
API Routes with Async Endpoints API Routes with Async Endpoints

Best Practices

✅ DO

  • Use async/await for I/O operations
  • Leverage Pydantic for validation
  • Use dependency injection for services
  • Implement proper error handling with HTTPException
  • Use type hints for automatic OpenAPI documentation
  • Create service layers for business logic
  • Implement authentication on protected routes
  • Use environment variables for configuration
  • Return appropriate HTTP status codes
  • Document endpoints with docstrings and tags

❌ DON'T

  • Use synchronous database operations
  • Trust user input without validation
  • Store secrets in code
  • Ignore type hints
  • Return database models in responses
  • Implement authentication in route handlers
  • Use mutable default arguments
  • Forget to validate query parameters
  • Expose stack traces in production
how to use fastapi-development

How to use 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 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/aj-geddes/useful-ai-prompts --skill fastapi-development

The skills CLI fetches fastapi-development from GitHub repository aj-geddes/useful-ai-prompts 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/fastapi-development

Reload or restart Cursor to activate fastapi-development. Access the skill through slash commands (e.g., /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

4.531 reviews
  • Aditi Martin· Dec 28, 2024

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

  • Ava Ghosh· Dec 24, 2024

    fastapi-development reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Aisha Abebe· Dec 12, 2024

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

  • Ava Reddy· Nov 19, 2024

    Registry listing for fastapi-development matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Advait Sharma· Nov 3, 2024

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

  • Yuki Johnson· Oct 22, 2024

    Registry listing for fastapi-development matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ava Diallo· Oct 10, 2024

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

  • Layla Li· Sep 17, 2024

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

  • Yash Thakker· Sep 1, 2024

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

  • Hassan Bansal· Sep 1, 2024

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

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