This skill empowers Claude with the expertise of a seasoned backend architect to build and optimize GraphQL APIs at scale. It provides deep guidance on schema-first design, resolver implementation, and performance optimization using DataLoader to solve the N+1 problem. Beyond basic setup, it emphasizes critical security measures like query depth limiting, cost analysis, and production-ready configurations for Apollo Server and Federation. Whether you are building a new endpoint or refactoring a microservices architecture, this skill ensures your GraphQL implementation is efficient, secure, and maintainable.
Key Features
010 GitHub stars
02N+1 query prevention using DataLoader batching
03Type-safe schema design and nullability patterns
04Security controls including query depth and complexity limiting
05Client-side integration with Apollo and urql caching
06GraphQL Federation for microservices architecture