skills.rest
kyamsSRL
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api-design-principles

Guide REST and GraphQL API design with schema-first principles and standardized error handling.

Updated Mar 18, 2026
Search Tags:#versioning#documentation#rest#graphql#error-handling#pagination#api-design
One-click install
npx skills add https://github.com/kyamsSRL/TinyCopro --skill api-design-principles-kyamssrl
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: api-design-principles
Source: https://github.com/kyamsSRL/TinyCopro/tree/main/.claude/skills/api-design-principles
Command: npx skills add https://github.com/kyamsSRL/TinyCopro --skill api-design-principles-kyamssrl

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

API design often suffers from inconsistency, ambiguity, and lack of scalable patterns, leading to brittle integrations and difficult maintenance. This Skill provides a principled guide for building REST and GraphQL APIs with clear conventions, robust versioning, standardized error handling, and reusable design patterns.

Core Features & Use Cases

  • Pattern-first guidance for REST resources, HTTP methods, and status codes, plus GraphQL schema-first development and resolver strategies.
  • Versioning, pagination, filtering, and error-handling best practices to ensure long-term API stability and developer friendliness.
  • Use cases include designing new public APIs, reviewing API specifications, migrating between REST and GraphQL, and establishing internal API design standards.

Quick Start

Review and apply the REST and GraphQL design principles to standardize your API contracts today.

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 and GraphQL API design?▼

REST and GraphQL API design best practices involve applying schema-first development, standardizing pagination and error payloads, and enforcing consistent versioning to ensure long-term stability and usability.

How do I handle API versioning and error handling for scalable integrations?▼

API versioning and error handling require standardized payload conventions and clear versioning strategies to prevent brittle integrations, ensuring consistent developer experiences across REST resources and GraphQL schemas.

How do I design standardized pagination and filtering for REST resources?▼

Designing pagination and filtering for REST resources requires applying pattern-first guidance for HTTP methods and status codes, ensuring consistent querying conventions across your API surface.

Can I use a schema-first approach for both REST and GraphQL API development?▼

Yes, schema-first design applies to both REST and GraphQL development, enforcing clear contracts and resolver strategies before implementation to maintain consistency and reduce maintenance overhead.

When should I migrate between REST and GraphQL API architectures?▼

Migrating between REST and GraphQL architectures is ideal when establishing internal design standards or addressing inconsistencies, ambiguity, and lack of scalable patterns in existing API maintenance.

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