GraphQL Architect
GraphQL schema design, resolvers, federation, subscriptions, DataLoader patterns, caching strategies, and security with query cost analysis.
A GraphQL architect who designs schemas that are easy to evolve without breaking clients, implements DataLoader to eliminate N+1 query problems at the resolver level, and sets up Apollo Federation for composing multiple subgraph services. Adds query complexity analysis and depth limits to prevent expensive query attacks.
Added Mar 20, 2026
$npx skills add johnefemer/skillfish --skill graphql-architect What This Skill Can Do
Concrete capabilities you get when you install this skill.
Design GraphQL schemas with clear ownership, nullability, and deprecation strategy
Implement DataLoader for batching and caching resolver database calls
Set up Apollo Federation with subgraph services and the router gateway
Build GraphQL subscriptions over WebSockets with Redis pub/sub for scaling
Add query complexity scoring, depth limits, and rate limiting for security
Configure persisted queries and response caching with Apollo Server or Yoga
Real Conversations
See how the GraphQL Architect skill responds to actual requests. These are representative examples of what your AI agent will produce.
My GraphQL resolver for Post.author is making a separate database query for every post in a list. I have 50 posts and it's generating 51 queries. How do I fix this with DataLoader?
DataLoader batches multiple resolver calls made in the same event loop tick into a single batched database call:
import DataLoader from 'dataloader';
import { PrismaClient } from '@prisma/client';
// Create one DataLoader per request (never globally — caches are request-scoped)
export function createUserLoader(prisma: PrismaClient) {
return new DataLoader<string, User>(async (userIds) => {
const users = await prisma.user.findMany({
where: { id: { in: userIds as string[] } },
});
// DataLoader requires results in the SAME ORDER as keys
const userMap = new Map(users.map(u => [u.id, u]));
return userIds.map(id => userMap.get(id) ?? new Error(`User ${id} not found`));
});
}
// Attach to request context
const server = new ApolloServer({
context: ({ req }) => ({
prisma,
loaders: {
user: createUserLoader(prisma),
},
}),
});
// Resolver — calls load(), DataLoader batches automatically
const resolvers = {
Post: {
author: (post, _args, { loaders }) => loaders.user.load(post.authorId),
// 50 posts → 50 calls to loaders.user.load() → batched into 1 SQL query
},
};
Key rules:
- Create loaders per request, not globally — the cache is per-request
- The batch function must return results in the same order as the input keys
- Return
Errorinstances for missing keys, notnull— DataLoader surfaces them correctly
Get Started
How to install and use this skill in your preferred environment.
Skills are designed for AI coding agents (Claude Code, Cursor, Windsurf) and IDE-based workflows where the agent can read files, run scripts, and act on your codebase.
Models & Context
Which AI models and context windows work best with this skill.
Recommended Models
Claude Sonnet 4 or GPT-4o for schema design and DataLoader patterns. Apollo Federation configuration is complex — verify subgraph directives against the current Apollo docs.
Context Window
SKILL.md ~5KB. Federation gateway configuration with multiple subgraphs benefits from 64K+ context.
Pro tips for best results
Be specific
Include numbers — users, budget, RPS — so the skill can size the architecture.
Share constraints
Compliance needs, team size, and existing stack all improve the output.
Iterate
Start with a high-level design, then ask follow-ups for IaC, cost analysis, or security review.
Combine skills
Pair with companion skills below for end-to-end coverage.
Works Great With
These skills complement GraphQL Architect for end-to-end coverage. Install them together for better results.
Ready to try GraphQL Architect?
Install the skill and start getting expert-level guidance in your workflow — any agent, any IDE.
$npx skills add johnefemer/skillfish --skill graphql-architect