api-design-skill

Guide Python REST API design across Flask, FastAPI, and Django REST Framework.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ialae/peliku --skill api-design-skill-ialae
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: api-design-skill
Source: https://github.com/ialae/peliku/tree/main/.github/skills/api-design-skill
Command: npx skills add https://github.com/ialae/peliku --skill api-design-skill-ialae

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Best practices for designing RESTful APIs that are resilient, robust, scalable, secure, and maintainable. Covers Flask, FastAPI, and Django REST Framework. Use this skill whenever designing, writing, reviewing, or refactoring a Python REST API regardless of framework.

Core Features & Use Cases

  • Universal REST principles (resource naming, HTTP semantics, versioning, pagination, error shapes, authentication, rate limiting, security)
  • Framework-specific guidance for Flask, FastAPI, and Django REST Framework
  • Clear decision guidance to choose the right framework or default to FastAPI for new greenfield projects

Quick Start

Identify your Python REST API framework (Flask, FastAPI, or Django REST Framework) and apply universal REST guidelines to design or refactor endpoints.

Frequently Asked Questions about api-design-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a REST API with proper pagination and versioning in Python?

To design a REST API with proper pagination and versioning, apply universal REST principles to resource naming and HTTP semantics, utilizing framework-agnostic guidelines for Flask, FastAPI, or Django REST Framework.

When should I use FastAPI vs Django REST Framework for a new Python API?

Choose FastAPI over Django REST Framework for new greenfield projects, using a decision tree to map framework-specific features against your project's resilience, scalability, and security requirements.

What are the best practices for OpenAPI documentation in Python REST APIs?

Best practices for OpenAPI documentation involve applying universal REST principles to generate clear, framework-specific mappings for endpoints, error shapes, and authentication across your Python REST API.

How do I structure error responses and status codes across Flask and FastAPI?

Structure error responses and status codes by applying universal REST guidelines to maintain consistent HTTP semantics and error shapes across Flask, FastAPI, and Django REST Framework.

Can I use this REST API design guidance to refactor an existing Python backend?

Yes, you can use this framework-agnostic guidance to refactor existing Python backends by applying universal REST principles to resource naming, rate limiting, and security regardless of the framework.

Does this REST API skill cover authentication and rate limiting implementation?

Yes, this REST API skill covers authentication and rate limiting implementation by providing universal design guidelines and framework-specific mappings to ensure secure and scalable API endpoints.