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/flask-api-development

Develop lightweight Flask APIs with routing, blueprints, database integration, authentication, and request/response handling. Use when building RESTful APIs, microservices, or lightweight web services with Flask.

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useful-ai-prompts
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Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill flask-api-development --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/flask-api-development

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Develop lightweight Flask APIs with routing, blueprints, database integration, authentication, and request/response handling. Use when building RESTful APIs, microservices, or lightweight web services with Flask.

SKILL.md

flask-api-development.SKILL.md
name: flask-api-development
description: >
  Develop lightweight Flask APIs with routing, blueprints, database integration,
  authentication, and request/response handling. Use when building RESTful APIs,
  microservices, or lightweight web services with Flask.

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:

# 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
Read more
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488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.

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