Can I use this for existing API refactoring?

Absolutely. The skill provides guidance on improving existing endpoints, implementing versioning strategies, and migrating between API paradigms.

Does it provide implementation-ready code examples?

Yes, it includes production-ready Python and FastAPI patterns for REST, as well as detailed schema and resolver examples for GraphQL using Ariadne.

How does this skill help with API performance?

It includes patterns for efficient pagination and the DataLoader pattern to prevent common N+1 query problems in complex data structures.

Does this skill support both REST and GraphQL?

Yes, it provides comprehensive design patterns and implementation examples for both RESTful architectures and GraphQL schemas.

API Design Principles

Name: API Design Principles
Author: pur3v4d3r

bypur3v4d3r

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API Development

Designs and optimizes high-performance REST and GraphQL APIs using industry-standard patterns and implementation best practices.

About

This skill empowers developers to architect robust, scalable, and developer-friendly APIs by providing comprehensive guidance on both REST and GraphQL paradigms. It covers critical aspects such as resource-oriented architecture, schema-first development, advanced pagination strategies, and efficient error handling. Whether you are refactoring legacy endpoints or designing a new microservice architecture from scratch, this skill ensures consistency, maintainability, and optimal performance through proven implementation patterns like HATEOAS and DataLoaders for N+1 prevention.

Key Features

Advanced data fetching techniques including DataLoader for N+1 prevention
1 GitHub stars
RESTful resource-oriented architecture and HTTP semantic mapping
Robust error handling and HTTP status code optimization
Standardized pagination, filtering, and HATEOAS implementation patterns
GraphQL schema-first development and type-safe query design

Use Cases

Establishing team-wide API standards and conducting design reviews
Architecting a new REST or GraphQL backend from scratch
Refactoring existing APIs to improve developer experience and performance

About

Key Features

Advanced data fetching techniques including DataLoader for N+1 prevention
1 GitHub stars
RESTful resource-oriented architecture and HTTP semantic mapping
Robust error handling and HTTP status code optimization
Standardized pagination, filtering, and HATEOAS implementation patterns
GraphQL schema-first development and type-safe query design

Use Cases

Establishing team-wide API standards and conducting design reviews
Architecting a new REST or GraphQL backend from scratch
Refactoring existing APIs to improve developer experience and performance