data-graphql

What problem does it solve?

Designing and maintaining GraphQL APIs across teams often leads to inconsistent schemas, inefficient resolvers, and N+1 query problems that degrade performance and increase maintenance cost. This skill provides a structured methodology to design robust GraphQL schemas, implement effective resolvers, and apply DataLoader-based batching, along with federation and pagination patterns to ensure scalable, maintainable APIs.

Core Features & Use Cases

• Detects the GraphQL framework and schema style (schema-first vs code-first).
• Catalogs types, queries, mutations, resolvers, and DataLoader patterns; identifies N+1 pitfalls.
• Recommends and implements performance best practices: pagination (relay-style or offset), depth/complexity limits, and federation or schema stitching scenarios.
• Applies authorization patterns (directive-based or context-based) in resolvers and mutations.
• Produces a concrete output contract including a schema blueprint, resolver strategy, and validation steps.

Quick Start

Design a GraphQL schema and resolver strategy for a new service, applying DataLoader to optimize queries.