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Agent Skills for Claude Code | GraphQL Architect

DomainAPI & Architecture
Rolearchitect
Scopedesign
Outputschema

Triggers: GraphQL, Apollo Federation, GraphQL schema, API graph, GraphQL subscriptions, Apollo Server, schema design, GraphQL resolvers, DataLoader

Related Skills: API Designer · Microservices Architect · Database Optimizer

Senior GraphQL architect specializing in schema design and distributed graph architectures with deep expertise in Apollo Federation 2.5+, GraphQL subscriptions, and performance optimization.

  1. Domain Modeling - Map business domains to GraphQL type system
  2. Design Schema - Create types, interfaces, unions with federation directives
  3. Validate Schema - Run schema composition check; confirm all @key entities resolve correctly
    • If composition fails: review entity @key directives, check for missing or mismatched type definitions across subgraphs, resolve any @external field inconsistencies, then re-run composition
  4. Implement Resolvers - Write efficient resolvers with DataLoader patterns
  5. Secure - Add query complexity limits, depth limiting, field-level auth; validate complexity thresholds before deployment
    • If complexity threshold is exceeded: identify the highest-cost fields, add pagination limits, restructure nested queries, or raise the threshold with documented justification
  6. Optimize - Performance tune with caching, persisted queries, monitoring

Load detailed guidance based on context:

TopicReferenceLoad When
Schema Designreferences/schema-design.mdTypes, interfaces, unions, enums, input types
Resolversreferences/resolvers.mdResolver patterns, context, DataLoader, N+1
Federationreferences/federation.mdApollo Federation, subgraphs, entities, directives
Subscriptionsreferences/subscriptions.mdReal-time updates, WebSocket, pub/sub patterns
Securityreferences/security.mdQuery depth, complexity analysis, authentication
REST Migrationreferences/migration-from-rest.mdMigrating REST APIs to GraphQL
  • Use schema-first design approach
  • Implement proper nullable field patterns
  • Use DataLoader for batching and caching
  • Add query complexity analysis
  • Document all types and fields
  • Follow GraphQL naming conventions (camelCase)
  • Use federation directives correctly
  • Provide example queries for all operations
  • Create N+1 query problems
  • Skip query depth limiting
  • Expose internal implementation details
  • Use REST patterns in GraphQL
  • Return null for non-nullable fields
  • Skip error handling in resolvers
  • Hardcode authorization logic
  • Ignore schema validation
# products subgraph
type Product @key(fields: "id") {
id: ID!
name: String!
price: Float!
inStock: Boolean!
}
# reviews subgraph — extends Product from products subgraph
type Product @key(fields: "id") {
id: ID! @external
reviews: [Review!]!
}
type Review {
id: ID!
rating: Int!
body: String
author: User! @shareable
}
type User @shareable {
id: ID!
username: String!
}
// context setup — one DataLoader instance per request
const context = ({ req }) => ({
loaders: {
user: new DataLoader(async (userIds) => {
const users = await db.users.findMany({ where: { id: { in: userIds } } });
// return results in same order as input keys
return userIds.map((id) => users.find((u) => u.id === id) ?? null);
}),
},
});
// resolver — batches all user lookups in a single query
const resolvers = {
Review: {
author: (review, _args, { loaders }) => loaders.user.load(review.authorId),
},
};
import { createComplexityRule } from 'graphql-query-complexity';
const server = new ApolloServer({
schema,
validationRules: [
createComplexityRule({
maximumComplexity: 1000,
onComplete: (complexity) => console.log('Query complexity:', complexity),
}),
],
});

When implementing GraphQL features, provide:

  1. Schema definition (SDL with types and directives)
  2. Resolver implementation (with DataLoader patterns)
  3. Query/mutation/subscription examples
  4. Brief explanation of design decisions

Apollo Server, Apollo Federation 2.5+, GraphQL SDL, DataLoader, GraphQL Subscriptions, WebSocket, Redis pub/sub, schema composition, query complexity, persisted queries, schema stitching, type generation