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# Description
GraphQL schema and federation expert specializing in resolver optimization, subscriptions, and API gateway patterns
# SKILL.md
name: graphql-architect
description: GraphQL schema and federation expert specializing in resolver optimization, subscriptions, and API gateway patterns
GraphQL Architect Skill
Purpose
Provides expert GraphQL architecture expertise specializing in schema design, federation patterns, resolver optimization, and real-time subscriptions. Builds performant, type-safe GraphQL APIs with N+1 prevention, efficient caching, and scalable API gateway patterns across distributed systems.
When to Use
- Designing GraphQL schema from scratch for new APIs
- Implementing GraphQL federation across multiple services
- Optimizing resolvers to prevent N+1 queries (DataLoader implementation)
- Building real-time features with GraphQL subscriptions
- Migrating from REST to GraphQL or designing hybrid REST+GraphQL APIs
- Implementing GraphQL API gateway patterns
Quick Start
Invoke this skill when:
- Designing new GraphQL schemas or federation architecture
- Solving N+1 query performance issues
- Implementing real-time subscriptions
- Migrating REST APIs to GraphQL
Do NOT invoke when:
- Simple REST API is sufficient (use api-designer)
- Database schema design without API layer (use database-administrator)
- Frontend data fetching only (use frontend-developer)
Core Capabilities
Schema Design
- Creating type-safe GraphQL schemas with best practices
- Implementing pagination patterns (Relay, offset-based)
- Designing mutations with input validation and error handling
- Managing schema evolution and backward compatibility
Federation Architecture
- Implementing Apollo Federation for microservices
- Configuring schema stitching for service composition
- Managing cross-service queries and mutations
- Setting up API gateways for schema composition
Resolver Optimization
- Implementing DataLoader for N+1 prevention
- Caching strategies at resolver and field levels
- Query complexity analysis and depth limiting
- Persisted queries for production optimization
Real-Time Subscriptions
- Implementing WebSocket-based subscriptions
- Managing subscription lifecycle and cleanup
- Integrating with event-driven backends
- Handling subscription authentication and authorization
Decision Framework
GraphQL vs REST Decision Matrix
| Factor | Use GraphQL | Use REST |
|---|---|---|
| Client types | Multiple clients with different needs | Single client with predictable needs |
| Data relationships | Highly nested, interconnected data | Flat resources with few relationships |
| Over-fetching | Clients need different subsets | Clients typically need all fields |
| Under-fetching | Avoid multiple round trips | Single endpoint provides enough |
| Schema evolution | Frequent changes, backward compat | Stable API, versioning acceptable |
| Real-time | Subscriptions needed | Polling or webhooks sufficient |
Schema Design Decision Tree
Schema Design Requirements
│
├─ Single service (monolith)?
│ └─ Schema-first design with single schema
│
├─ Multiple microservices?
│ ├─ Services owned by different teams?
│ │ └─ Apollo Federation
│ └─ Services owned by same team?
│ └─ Schema stitching (simpler)
│
├─ Existing REST APIs to wrap?
│ └─ GraphQL wrapper layer
│
└─ Need backward compatibility?
└─ Hybrid REST + GraphQL
N+1 Prevention Strategy
Resolver Implementation
│
├─ Field resolves to single related entity?
│ └─ DataLoader with batching
│
├─ Field resolves to list of related entities?
│ ├─ List size always small (<10)?
│ │ └─ Direct query acceptable
│ └─ List size unbounded?
│ └─ DataLoader with batching + pagination
│
├─ Nested resolvers (users → posts → comments)?
│ └─ Multi-level DataLoaders
│
└─ Aggregations or counts?
└─ Separate DataLoader for counts
Core Workflow: DataLoader Implementation
Problem: N+1 queries killing performance
// WITHOUT DataLoader - N+1 problem
const resolvers = {
Post: {
author: async (post, _, { db }) => {
// Executed once per post (N+1 problem!)
return db.User.findByPk(post.userId);
}
}
};
// Query for 100 posts triggers 101 DB queries
Solution: Batch with DataLoader
import DataLoader from 'dataloader';
// Create loader per request (important!)
function createLoaders(db) {
return {
userLoader: new DataLoader(async (userIds) => {
const users = await db.User.findAll({
where: { id: userIds }
});
// Return in same order as requested IDs
const userMap = new Map(users.map(u => [u.id, u]));
return userIds.map(id => userMap.get(id));
})
};
}
// Resolver using DataLoader
const resolvers = {
Post: {
author: (post, _, { loaders }) => {
return loaders.userLoader.load(post.userId);
}
}
};
// Same query now triggers 2 queries total!
Quick Reference: Schema Best Practices
Pagination Pattern (Relay-style)
type Query {
users(first: Int, after: String, last: Int, before: String): UserConnection!
}
type UserConnection {
edges: [UserEdge!]!
pageInfo: PageInfo!
totalCount: Int!
}
type UserEdge {
node: User!
cursor: String!
}
type PageInfo {
hasNextPage: Boolean!
hasPreviousPage: Boolean!
startCursor: String
endCursor: String
}
Error Handling Pattern
type Mutation {
createUser(input: CreateUserInput!): CreateUserPayload!
}
type CreateUserPayload {
user: User
errors: [UserError!]!
}
type UserError {
field: String
message: String!
code: ErrorCode!
}
enum ErrorCode {
VALIDATION_ERROR
NOT_FOUND
UNAUTHORIZED
CONFLICT
}
Red Flags - When to Escalate
| Observation | Why Escalate |
|---|---|
| Query complexity explosion | Unbounded nested queries causing DoS |
| Federation circular dependencies | Schema design issue |
| 10K+ concurrent subscriptions | Infrastructure architecture |
| Schema versioning across 50+ fields | Breaking change management |
| Cross-service transaction needs | Distributed systems pattern |
Additional Resources
- Detailed Technical Reference: See REFERENCE.md
- Apollo Federation setup workflow
- Field-level authorization directives
-
Query complexity limiting
-
Code Examples & Patterns: See EXAMPLES.md
- Anti-patterns (N+1 queries, no complexity limits)
- Integration patterns with other skills
- Complete resolver implementations
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.