Design and implement GraphQL schemas, resolvers, and federated services.
npx skills add https://github.com/iceflower/agent-skills --skill graphql-iceflower
Please help me install this Agent Skill. Skill: graphql Source: https://github.com/iceflower/agent-skills/tree/main/graphql Command: npx skills add https://github.com/iceflower/agent-skills --skill graphql-iceflower
GraphQL API design and implementation patterns including schema design principles, type system (Object, Input, Interface, Union, Enum), resolver patterns, N+1 problem prevention with DataLoader, pagination (Cursor-based, Relay Connection), error handling, query complexity and depth limiting, authentication/authorization at field level, and Federation (Apollo). Covers Spring for GraphQL, Netflix DGS Framework, and GraphQL security (OWASP GraphQL Cheat Sheet). Use when designing GraphQL schemas, implementing resolvers, optimizing query performance, setting up GraphQL Federation, or reviewing GraphQL API security.
Define a GraphQL schema using SDL-first or code-first approaches, implement resolvers with a service layer, and enable DataLoader to optimize data fetching.
High-intent search queries and answers about installing and using this skill.
To prevent the N+1 problem in GraphQL, implement DataLoader batching to group and cache multiple database requests into a single fetch per request cycle. This pattern optimizes data fetching and significantly reduces query latency.
The best way to implement cursor-based pagination in a GraphQL API is using Relay Connection specifications. This pattern provides standardized edges, nodes, and cursors for traversing large datasets efficiently without offset overhead.
Secure a GraphQL API against malicious queries by applying query depth and complexity limits to block deeply nested or expensive operations. Additionally, enforce field-level authentication and follow OWASP GraphQL security cheat sheet guidelines.
Yes, this GraphQL design guidance applies directly to Spring for GraphQL and Netflix DGS frameworks. It covers real-world use cases including schema organization, resolver patterns, and DataLoader integration across these specific environments.
Use SDL-first GraphQL schemas when you want a language-agnostic contract for team collaboration, and code-first when you prefer generating schemas directly from TypeScript or Python types. Both approaches require proper schema organization for maintainability.
Apollo Federation composes a unified graph from multiple subgraphs using federation directives to resolve references across services. This approach lets you split a large monolithic schema into manageable domain-specific microservices while presenting a single endpoint.
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