What pagination methods are supported?

The skill provides implementation guidance for both simple offset-based pagination and advanced Relay-compliant cursor connections for large datasets.

Can I use this for GraphQL Federation?

Yes, the skill includes specific patterns for designing entities and extended types compatible with Apollo Federation and schema stitching.

How does it handle API versioning?

It emphasizes additive changes and the strategic use of the @deprecated directive to evolve APIs continuously without breaking existing client integrations.

Does this skill help with N+1 query problems?

While primarily focused on schema design, it provides architectural patterns that help avoid inherent N+1 structures by encouraging flat schemas and efficient relationship modeling.

GraphQL Schema Design

Name: GraphQL Schema Design
Author: TheBushidoCollective

byTheBushidoCollective

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API Development

Architects maintainable and scalable GraphQL APIs using professional schema design patterns, pagination strategies, and type systems.

About

This skill provides comprehensive guidance for developers building GraphQL APIs, covering the entire schema lifecycle from core type definitions to advanced federation and versioning strategies. It ensures best practices are followed for complex data modeling, efficient pagination, and robust error handling, making it indispensable for engineering production-grade GraphQL services that remain scalable and client-friendly. By applying these patterns, developers can reduce technical debt and provide a superior developer experience for API consumers.

Key Features

Core type system implementation including Objects, Interfaces, Unions, and Enums
Advanced pagination patterns including Offset and Cursor-based (Relay) connections
Mutation design patterns with standardized input objects and result payloads
Support for Schema Federation and distributed architecture patterns
72 GitHub stars
Schema evolution strategies using field deprecation and additive changes

Use Cases

Implementing standardized pagination and error handling across complex microservices
Refactoring existing schemas to improve scalability and minimize breaking changes
Designing a brand new GraphQL API from scratch using industry-standard best practices

About

Key Features

Core type system implementation including Objects, Interfaces, Unions, and Enums
Advanced pagination patterns including Offset and Cursor-based (Relay) connections
Mutation design patterns with standardized input objects and result payloads
Support for Schema Federation and distributed architecture patterns
72 GitHub stars
Schema evolution strategies using field deprecation and additive changes

Use Cases

Implementing standardized pagination and error handling across complex microservices
Refactoring existing schemas to improve scalability and minimize breaking changes
Designing a brand new GraphQL API from scratch using industry-standard best practices