Can it handle complex pagination?

Yes, it follows the Connection pattern using edges and pageInfo for standardized cursor-based pagination.

Does this skill support real-time data?

Yes, it generates full subscription logic including PubSub implementation and filter patterns for real-time updates.

How does it handle performance?

It automatically suggests and implements the DataLoader pattern to prevent common N+1 query issues in nested data fetching.

Is authentication included in the generated code?

The skill provides patterns for AuthenticationError handling and context-based authorization checks within your resolvers.

GraphQL Schema Generator

Name: GraphQL Schema Generator
Author: Dexploarer

byDexploarer

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API 开发

Generates production-grade GraphQL schemas, resolvers, and type definitions following industry best practices.

关于

The GraphQL Schema Generator skill empowers developers to rapidly build robust APIs by automating the creation of complex boilerplate code. It provides an expert framework for defining types, implementing efficient resolvers with DataLoader support to prevent N+1 performance issues, and setting up real-time subscriptions. Whether you are bootstrapping a new backend service or extending an existing one, this skill ensures your GraphQL implementation adheres to modern standards for pagination, security, and schema design.

主要功能

Built-in support for relay-style cursor pagination and connection patterns
Comprehensive error handling and input validation templates
Automated generation of type definitions, queries, mutations, and subscriptions
Implementation of the DataLoader pattern to optimize database performance
Standardized authentication and authorization logic within resolvers
2 GitHub stars

使用场景

Bootstrapping a new GraphQL API with Apollo Server or Express
Optimizing existing resolvers to resolve N+1 query performance bottlenecks
Adding real-time data capabilities to applications via GraphQL subscriptions

关于

主要功能

Built-in support for relay-style cursor pagination and connection patterns
Comprehensive error handling and input validation templates
Automated generation of type definitions, queries, mutations, and subscriptions
Implementation of the DataLoader pattern to optimize database performance
Standardized authentication and authorization logic within resolvers
2 GitHub stars

使用场景

Bootstrapping a new GraphQL API with Apollo Server or Express
Optimizing existing resolvers to resolve N+1 query performance bottlenecks
Adding real-time data capabilities to applications via GraphQL subscriptions