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graphql-expert

Guide GraphQL schema design, resolver implementation, and subscription setup.

Updated Feb 26, 2026
Search Tags:#performance#subscriptions#api design#schema#graphql#resolvers
One-click install
npx skills add https://github.com/gagan114662/exp --skill graphql-expert-gagan114662
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graphql-expert
Source: https://github.com/gagan114662/exp/tree/main/crates/openfang-skills/bundled/graphql-expert
Command: npx skills add https://github.com/gagan114662/exp --skill graphql-expert-gagan114662

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides expert guidance for designing, implementing, and optimizing GraphQL APIs, ensuring they are scalable, well-typed, and offer an excellent developer experience.

Core Features & Use Cases

  • Schema Design: Craft domain-centric, well-typed GraphQL schemas.
  • Resolver Implementation: Implement efficient resolvers, preventing N+1 problems with DataLoader.
  • Real-time Subscriptions: Set up and manage WebSocket-based subscriptions.
  • Performance Optimization: Advise on query complexity, depth limits, and caching strategies.
  • Use Case: A team is building a new microservice with a GraphQL API. This Skill can guide them through designing the schema, implementing resolvers for various data sources, and setting up subscriptions for real-time updates, ensuring best practices are followed from the start.

Quick Start

Use the graphql-expert skill to design a GraphQL schema for a blog post with fields for title, content, author, and comments.

Frequently Asked Questions about graphql-expert

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

FAQPage Schema
How do I design a GraphQL schema for a microservice with multiple data sources?▼

To design a GraphQL schema for a microservice, craft domain-centric, well-typed schemas that map efficiently to multiple data sources. This ensures scalable backend APIs and an excellent developer experience.

How do I prevent N+1 query problems in GraphQL resolvers?▼

To prevent N+1 query problems in GraphQL resolvers, implement efficient resolvers using DataLoader for batching requests. This optimizes data fetching and significantly improves backend API performance.

What is the best way to set up real-time subscriptions in a GraphQL API?▼

Set up WebSocket-based subscriptions to manage real-time data delivery in your GraphQL API. This approach enables clients to receive immediate updates when underlying backend data changes.

How can I optimize GraphQL API performance and prevent expensive queries?▼

Optimize GraphQL API performance by implementing query complexity analysis, enforcing depth limits, and applying caching strategies. These measures prevent expensive queries and protect backend resources.

Can I use schema federation to scale a GraphQL service across multiple teams?▼

Schema federation scales GraphQL services across multiple teams by combining domain-centric schemas into a unified graph. This maintains well-typed APIs while enabling independent service development.

What are persisted queries and when should I use them in GraphQL?▼

Persisted queries store predefined query strings on the server, allowing clients to send a hash instead of the full query text. Use this performance optimization to reduce request overhead and secure backend APIs.

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