Can it help with payload size issues?

Absolutely. The skill identifies over-fetching and recommends pagination or field selection improvements to reduce the total amount of data sent to the client.

Is this compatible with all GraphQL frameworks?

Yes, the optimization logic is framework-agnostic and applies to GraphQL implementations across Node.js, Python, Go, and other backend environments.

How does this skill help with GraphQL N+1 problems?

It analyzes your resolver logic and data-fetching patterns to suggest implementation strategies like DataLoader to consolidate multiple database queries into a single batch.

Does it recommend schema changes?

Yes, it can recommend schema adjustments to optimize query depth, though it prioritizes fixes that avoid breaking changes unless a migration path is specified.

What information does the skill need to provide an optimization plan?

To get the best results, provide the skill with slow query traces, your GraphQL schema, and the relevant resolver source code.

GraphQL Query Optimizer

Name: GraphQL Query Optimizer
Author: oalansilva

byoalansilva

0•

API 开发

Optimizes GraphQL queries and resolvers to improve performance, reduce N+1 issues, and minimize payload sizes.

The GraphQL Query Optimizer is a specialized skill for Claude Code designed to help developers identify and resolve performance bottlenecks within GraphQL APIs. By analyzing slow query traces, schema definitions, and resolver logic, it provides actionable recommendations for implementing batching, caching, and efficient pagination. This skill is ideal for teams looking to eliminate N+1 query patterns and reduce excessive data transfer without introducing breaking schema changes, ensuring a faster and more scalable backend.