Does this skill help with N+1 query problems?

Yes, it includes specific patterns for implementing DataLoaders to batch and memoize database or API requests, significantly improving performance.

What is the Apollo Server Patterns skill for Claude Code?

It is a specialized capability that enables Claude to provide domain-specific guidance, best practices, and implementation patterns for building robust GraphQL APIs using Apollo Server.

Is it compatible with REST data sources?

Yes, it provides implementation guides for using @apollo/datasource-rest to integrate existing RESTful services into your GraphQL graph.

Can I use this for real-time applications?

Absolutely. The skill includes patterns for setting up GraphQL Subscriptions via WebSockets to handle real-time data updates in your application.

How does it handle security and authentication?

It provides standardized patterns for context creation, JWT verification, and authorization helpers to ensure your GraphQL fields are properly protected.

Apollo Server Patterns

Name: Apollo Server Patterns
Author: TheBushidoCollective

byTheBushidoCollective

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API Development

Architects production-grade GraphQL APIs using Apollo Server with optimized resolvers, data sources, and scalable schema design.

About

The Apollo Server Patterns skill provides Claude with a comprehensive framework for building high-performance GraphQL backends. It bridges the gap between basic setup and production readiness by implementing best practices for schema definition, context-based authentication, and standardized error handling. By utilizing patterns like DataLoader for N+1 query prevention and RESTDataSource for efficient data fetching, this skill ensures that your API is both performant and maintainable. It is ideal for developers looking to implement complex business logic, real-time subscriptions, and modular architecture within the Apollo ecosystem.

Key Features

Real-time data support via GraphQL Subscriptions and WebSocket integration
N+1 query prevention using DataLoader for optimized database access
Efficient resolver implementation including field-level resolution patterns
Modular schema design using GraphQL-tag and SDL best practices
72 GitHub stars
Standardized error handling with custom GraphQLError extensions for client-side consumption

Use Cases

Implementing secure authentication and role-based authorization patterns across a GraphQL API
Refactoring existing resolvers to improve data fetching performance and maintainability
Bootstrapping a new production-ready Apollo GraphQL server with Express integration

About

Key Features

Real-time data support via GraphQL Subscriptions and WebSocket integration
N+1 query prevention using DataLoader for optimized database access
Efficient resolver implementation including field-level resolution patterns
Modular schema design using GraphQL-tag and SDL best practices
72 GitHub stars
Standardized error handling with custom GraphQLError extensions for client-side consumption

Use Cases

Implementing secure authentication and role-based authorization patterns across a GraphQL API
Refactoring existing resolvers to improve data fetching performance and maintainability
Bootstrapping a new production-ready Apollo GraphQL server with Express integration