graphql-api-development

Develop GraphQL APIs with schemas, resolvers, and subscriptions on Node.js and Express.

1|Updated Nov 18, 2025
One-click install
npx skills add https://github.com/manutej/crush-mcp-server --skill graphql-api-development
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Skill: graphql-api-development
Source: https://github.com/manutej/crush-mcp-server/tree/main/.claude/skills/graphql-api-development
Command: npx skills add https://github.com/manutej/crush-mcp-server --skill graphql-api-development

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive guide to building production-ready GraphQL APIs, covering schema design, resolvers, authentication, caching, and real-time subscriptions.

Core Features & Use Cases

  • Schema-First Design: Strong typing and introspection for robust APIs.
  • Resolvers & Data Fetching: Efficiently fetch nested data with minimal over-fetching.
  • Real-time & Caching: Subscriptions and caching strategies for responsive apps.

Quick Start

Define a simple GraphQL schema, implement a resolver, and run a GraphQL server with subscriptions enabled.

Frequently Asked Questions about graphql-api-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a GraphQL API with Node.js and Express?

Building a GraphQL API involves defining a schema, implementing resolvers, and setting up an Express server with GraphQL middleware. Start by designing your schema in SDL or programmatically, create resolver functions to fetch data, and deploy the server to handle queries, mutations, and subscriptions for client-driven data retrieval.

What's the best way to handle real-time updates in GraphQL?

GraphQL subscriptions enable real-time updates by maintaining persistent connections between client and server. Implement subscription resolvers alongside queries and mutations to push data changes to connected clients, providing responsive multi-client applications without polling.

How do I authenticate and authorize GraphQL queries and mutations?

Implement authentication by validating tokens before resolving queries, and authorization by checking user permissions within resolver functions. Middleware on your Express server can verify credentials, while resolvers enforce field-level access control for security.

Can I use caching and batching to improve GraphQL API performance?

Caching strategies reduce redundant data fetches by storing resolver results, while batching groups multiple requests into single database calls. Both patterns significantly improve performance for nested data and multi-client scenarios with minimal over-fetching.

What schema design practices prevent over-fetching and under-fetching in GraphQL?

Strong schema typing and introspection allow clients to request exactly the fields needed, eliminating over-fetching. Design nested types and resolvers to fetch related data efficiently, reducing the number of round trips required compared to REST APIs.

How do I test and deploy a production-ready GraphQL API?

Test resolvers, error handling, and subscriptions with automated test suites. Deploy on Node.js with Express, implement monitoring and logging for maintenance, and handle edge cases like timeouts and malformed queries for production reliability.