graphql-architect

Design GraphQL schemas for Apollo Federation with DataLoader resolvers and query limits.

1|Updated May 16, 2026
One-click install
npx skills add https://github.com/enigmaicon-eng/AI-Enterprise-OS --skill graphql-architect-enigmaicon-eng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: graphql-architect
Source: https://github.com/enigmaicon-eng/AI-Enterprise-OS/tree/main/examples/claude-skills/skills/graphql-architect
Command: npx skills add https://github.com/enigmaicon-eng/AI-Enterprise-OS --skill graphql-architect-enigmaicon-eng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

GraphQL federated APIs are hard to design, validate, secure, and optimize across multiple subgraphs without introducing schema composition failures or performance regressions.

Core Features & Use Cases

  • Schema design for federation: Model entities with correct @key directives, handle entity extension/ownership boundaries, and ensure composition correctness.
  • Resolver implementation with performance guardrails: Implement resolvers using DataLoader to prevent N+1 queries and apply query validation patterns.
  • Security and operability: Add query depth/complexity limits, field-level auth, and provide optimization strategies such as caching and persisted queries.
  • Real-world use cases: Building Apollo Federation subgraphs, enabling subscriptions, migrating REST endpoints, and maintaining safe multi-service GraphQL evolution.

Quick Start

Implement a GraphQL federated subgraph by modeling your entities with @key, composing and validating the schema, writing resolvers that use DataLoader for batching, and enforcing query depth/complexity plus field-level authorization.

Frequently Asked Questions about graphql-architect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent N+1 queries in GraphQL federation subgraphs?

To prevent N+1 queries in GraphQL federation subgraphs, implement resolvers using DataLoader for batching database requests. This groups multiple entity fetches into a single query, eliminating cascading resolver calls and reducing database load during complex federated queries.

What are the required Apollo Federation directives for schema design?

Apollo Federation schema design requires the @key, @external, @provides, @requires, and @shareable directives. These directives define entity boundaries, manage cross-subgraph field ownership, and ensure schema composition correctness without introducing conflicts across federated architectures.

How do I secure GraphQL APIs against malicious query complexity?

Secure GraphQL APIs against malicious query complexity by enforcing query depth and complexity limits during validation. Additionally, implement field-level authorization and use persisted queries to restrict arbitrary client queries, preventing resource exhaustion from deeply nested or expensive operations.

Can I enable real-time subscriptions in a federated GraphQL architecture?

Yes, you can enable real-time subscriptions in a federated GraphQL architecture. The schema design supports real-time data streaming by defining subscription types within subgraphs, allowing federated gateways to broadcast live updates to clients while maintaining composition correctness.

Why does my GraphQL schema composition fail when extending entities across subgraphs?

GraphQL schema composition fails when entity extension boundaries are incorrectly modeled using federation directives. Ensure proper use of @key for entity identification and @external for fields owned by other subgraphs to prevent composition errors during multi-service schema merging.

What is the best way to migrate REST endpoints to a federated GraphQL API?

The best way to migrate REST endpoints to a federated GraphQL API involves schema-first modeling to define entities, applying Apollo Federation directives for boundaries, and implementing resolvers with DataLoader to batch requests, ensuring safe multi-service GraphQL evolution without performance regressions.