Does this skill support frontend development?

Absolutely. It covers client-side integration with popular libraries like Apollo Client and urql, focusing on normalized caching and efficient data fetching.

Can it help secure my GraphQL endpoint?

Yes, the skill includes guidance on implementing query depth limiting, cost analysis, and disabling introspection in production to prevent DoS attacks and unauthorized schema exposure.

Is it useful for microservices?

Yes, it includes patterns for GraphQL Federation, allowing developers to build a unified gateway that aggregates multiple services into a single graph.

How does this skill help with GraphQL performance?

It provides specific implementation patterns for DataLoader to batch and cache database requests, which eliminates the common N+1 query problem that often degrades GraphQL performance.

GraphQL API Architect

Name: GraphQL API Architect
Author: claudiodearaujo

byclaudiodearaujo

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API Development

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

The GraphQL API Architect skill equips Claude with deep expertise in building production-ready GraphQL ecosystems. It focuses on the critical balance between flexibility and performance, providing implementation patterns for DataLoader to solve N+1 query problems, schema design strategies for type-safe APIs, and essential security measures like query depth limiting. Whether you are implementing Apollo Server, urql, or federated microservices, this skill ensures your API remains a robust, well-documented contract that prevents common pitfalls like over-fetching and server-side DoS vulnerabilities.

Key Features

01Expert schema design with intentional nullability and type safety

021 GitHub stars

03Client-side optimization for Apollo Client and urql caching

04N+1 query prevention using DataLoader batching and caching patterns

05Support for GraphQL Federation and microservices architecture

06Comprehensive security controls including query depth and complexity limiting

Use Cases

01Designing a scalable backend for data-intensive web and mobile applications

02Optimizing existing GraphQL resolvers to improve database performance and latency

03Implementing security best practices to protect production APIs from malicious queries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill