skills.rest
Himanshu040604
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api-design-principles

Guide RESTful and GraphQL API design with Python schema examples.

Updated Mar 5, 2026
Search Tags:#schema design#api design#rest#graphql#backend development#api best practices
One-click install
npx skills add https://github.com/Himanshu040604/codex-skills-setup --skill api-design-principles-himanshu040604
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: api-design-principles
Source: https://github.com/Himanshu040604/codex-skills-setup/tree/main/assets/codex/skills/claude-import/skills/plugins/backend-development%40claude-code-workflows/skills/api-design-principles
Command: npx skills add https://github.com/Himanshu040604/codex-skills-setup --skill api-design-principles-himanshu040604

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps developers design, build, and maintain robust, scalable, and user-friendly APIs by providing guidance on best practices for both REST and GraphQL.

Core Features & Use Cases

  • RESTful Design: Learn resource-oriented architecture, HTTP method semantics, and common patterns like pagination and error handling.
  • GraphQL Design: Understand schema-first development, query structure, and efficient data fetching with DataLoaders.
  • Use Case: When designing a new microservice API, use this Skill to ensure your REST endpoints are well-structured and your GraphQL schema is optimized for performance and developer experience.

Quick Start

Use the api-design-principles skill to generate a checklist for reviewing a new REST API specification.

Frequently Asked Questions about api-design-principles

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

FAQPage Schema
What are the best practices for REST API design to ensure scalability and maintainability?▼

REST API design best practices involve resource-oriented architecture, proper HTTP method semantics, and standard patterns for pagination and error handling. This guidance ensures your endpoints remain scalable, maintainable, and user-friendly.

How do I design a GraphQL schema for efficient data fetching?▼

Designing a GraphQL schema for efficient data fetching requires a schema-first development approach and proper query structuring. Implementing DataLoaders helps optimize performance by batching and caching requests, preventing inefficient data retrieval loops.

REST vs GraphQL: which API design approach should I choose for my microservice?▼

Choosing between REST and GraphQL for a microservice depends on your data fetching needs. REST provides well-structured resource endpoints, while GraphQL offers schema-first flexibility and optimized client queries, both supported by these design principles.

How do I handle API versioning and error handling in backend development?▼

API versioning and error handling in backend development are addressed through standardized patterns that maintain backward compatibility. Implementing consistent error responses and clear versioning strategies ensures long-term API maintainability and a predictable developer experience.

Can I use Python examples to define REST and GraphQL schema definitions?▼

Yes, Python examples are utilized to demonstrate both REST and GraphQL schema definitions. These examples provide concrete reference implementations for backend development, helping you apply API design principles directly within your codebase.

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