How does this skill help with API performance?

It provides implementation patterns for DataLoader to batch and cache database requests, effectively solving the N+1 query problem and reducing server overhead.

Does it support frontend GraphQL integration?

Absolutely. It covers client-side integration with libraries like Apollo Client and urql, including normalized cache management and code generation.

What schema design patterns are included?

The skill focuses on creating type-safe schemas that act as a contract, emphasizing proper nullability to prevent cascading failures and designing for introspection.

Can this skill help secure my GraphQL endpoint?

Yes, it includes best practices for limiting query depth, performing query cost analysis, and ensuring authorization is handled at the resolver level rather than just the schema.

GraphQL API Expert

Name: GraphQL API Expert
Author: claudiodearaujo

byclaudiodearaujo

0•

API Development

Architects, optimizes, and secures high-performance GraphQL APIs using industry-standard patterns and robust schema design.

The GraphQL skill empowers Claude to design type-safe, efficient APIs that provide clients with precise data fetching while maintaining server-side stability. It addresses critical production challenges such as the N+1 query problem through DataLoader implementation, schema-first design strategies, and advanced security measures like query depth limiting. Whether building federated microservices or integrating Apollo and urql on the frontend, this skill provides the domain-specific knowledge required to avoid common pitfalls like over-fetching, authorization gaps, and improper nullability handling.

Key Features

01Microservices orchestration through GraphQL Federation

02Type-safe schema design with intentional nullability patterns

03Optimized client-side integration with Apollo Client and urql

040 GitHub stars

05Advanced security via query depth limiting and cost analysis

06N+1 query prevention using DataLoader for batching and caching

Use Cases

01Migrating monolithic architectures to federated GraphQL microservices

02Securing production GraphQL endpoints against malicious deeply-nested queries

03Building high-performance backends with complex relational data requirements

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front graphql

For use in Claude.ai and ChatGPT

Download Skill