# Aj Geddes Useful AI Prompts Flask API Development

> Flask API Development

- Skill: `tomevault-io/aj-geddes-useful-ai-prompts-flask-api-development` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/aj-geddes-useful-ai-prompts-flask-api-development`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/aj-geddes-useful-ai-prompts-flask-api-development/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Integrations & APIs
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/aj-geddes-useful-ai-prompts-flask-api-development

---


# Flask API Development

## Table of Contents

- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)

## Overview

Create efficient Flask APIs with blueprints for modular organization, SQLAlchemy for ORM, JWT authentication, comprehensive error handling, and proper request validation following REST principles.

## When to Use

- Building RESTful APIs with Flask
- Creating microservices with minimal overhead
- Implementing lightweight authentication systems
- Designing API endpoints with proper validation
- Integrating with relational databases
- Building request/response handling systems

## Quick Start

Minimal working example:

```python
# app.py
from flask import Flask, request, jsonify
from flask_cors import CORS
from flask_sqlalchemy import SQLAlchemy
from flask_jwt_extended import JWTManager
import os

app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = os.getenv('DATABASE_URL', 'sqlite:///app.db')
app.config['JWT_SECRET_KEY'] = os.getenv('JWT_SECRET_KEY', 'dev-secret')
app.config['JSON_SORT_KEYS'] = False

db = SQLAlchemy(app)
jwt = JWTManager(app)
CORS(app)

# Request ID middleware
@app.before_request
def assign_request_id():
    import uuid
    request.request_id = str(uuid.uuid4())

# Error handlers
@app.errorhandler(400)
def bad_request(error):
// ... (see reference guides for full implementation)
```

## Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents |
|---|---|
| [Flask Application Setup](references/flask-application-setup.md) | Flask Application Setup |
| [Database Models with SQLAlchemy](references/database-models-with-sqlalchemy.md) | Database Models with SQLAlchemy |
| [Authentication and JWT](references/authentication-and-jwt.md) | Authentication and JWT |
| [Blueprints for Modular API Design](references/blueprints-for-modular-api-design.md) | Blueprints for Modular API Design |
| [Request Validation](references/request-validation.md) | Request Validation |
| [Application Factory and Configuration](references/application-factory-and-configuration.md) | Application Factory and Configuration |

## Best Practices

### ✅ DO

- Use blueprints for modular organization
- Implement proper authentication with JWT
- Validate all user input
- Use SQLAlchemy ORM for database operations
- Implement comprehensive error handling
- Use pagination for collection endpoints
- Log errors and important events
- Return appropriate HTTP status codes
- Implement CORS properly
- Use environment variables for configuration

### ❌ DON'T

- Store secrets in code
- Use global variables for shared state
- Ignore database transactions
- Trust user input without validation
- Return stack traces in production
- Use mutable default arguments
- Forget to handle database connection errors
- Implement authentication in route handlers

---
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<!-- tomevault:4.0:skill_md:2026-04-11 -->