Does it include pagination out of the box?

Yes, it implements the Relay-style Connection pattern for cursor-based pagination, including PageInfo and Edge types for efficient data fetching.

Can it handle authentication and authorization?

Absolutely. The skill generates context-aware resolvers that include checks for authentication and role-based access control (RBAC).

How does it handle API performance issues?

The skill automatically implements the DataLoader pattern, which batches and caches database requests to solve the common N+1 query problem.

Is the generated code compatible with Apollo Server?

Yes, the skill is designed to generate boilerplate and logic that follows Apollo Server and Express best practices, though the patterns are adaptable to other frameworks.

Does this skill support real-time data?

Yes, the GraphQL Schema Generator creates full subscription logic using pub/sub patterns to enable real-time data updates in your applications.

GraphQL Schema Generator

Name: GraphQL Schema Generator
Author: Dexploarer

byDexploarer

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API Development

Generates complete, production-ready GraphQL schemas including type definitions, resolvers, and efficient data-loading patterns.

About

The GraphQL Schema Generator skill empowers Claude to act as an expert API architect, streamlining the development of robust backend services. It automates the creation of Schema Definition Language (SDL), complex field-level resolvers, and high-performance patterns like cursor-based pagination and real-time subscriptions. By implementing industry best practices such as the DataLoader pattern and role-based access control, this skill ensures that your GraphQL layer is scalable, secure, and optimized for performance from the very first line of code.

Key Features

Performance optimization using DataLoaders to prevent N+1 queries
Full resolver implementation for Queries, Mutations, and Subscriptions
Integrated security patterns for authentication and authorization
2 GitHub stars
Comprehensive SDL generation including types, inputs, and enums
Standardized cursor-based pagination for large datasets

Use Cases

Scaffolding a new GraphQL API for mobile or web applications
Refactoring existing REST endpoints into a unified GraphQL layer
Implementing complex data relations and real-time notification systems

About

Key Features

Performance optimization using DataLoaders to prevent N+1 queries
Full resolver implementation for Queries, Mutations, and Subscriptions
Integrated security patterns for authentication and authorization
2 GitHub stars
Comprehensive SDL generation including types, inputs, and enums
Standardized cursor-based pagination for large datasets

Use Cases

Scaffolding a new GraphQL API for mobile or web applications
Refactoring existing REST endpoints into a unified GraphQL layer
Implementing complex data relations and real-time notification systems