How does this skill prevent performance bottlenecks?

It implements the DataLoader pattern to batch and cache database requests, effectively solving the N+1 query problem common in GraphQL resolvers.

Is input validation handled by this skill?

Absolutely. It includes patterns for defining input types and implementing server-side validation to ensure all incoming data meets your schema requirements.

Which frameworks does this GraphQL skill support?

This skill provides implementation patterns for Apollo Server in JavaScript/Node.js and Graphene for Python-based environments like Flask.

Can this skill help with REST to GraphQL migration?

Yes, it is specifically designed to help model flexible query APIs that can bridge or replace traditional REST endpoints while ensuring data integrity.

Does it include guidance for real-time data?

Yes, the skill covers best practices for implementing GraphQL subscriptions to handle real-time data streaming and updates.

GraphQL API Implementation

Name: GraphQL API Implementation
Author: secondsky

bysecondsky

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API開発

Architects high-performance GraphQL APIs with optimized schemas, efficient resolvers, and N+1 query prevention.

概要

The GraphQL Implementation skill provides a comprehensive framework for building production-ready APIs using industry-standard tools like Apollo Server and Graphene. It guides developers through the entire lifecycle of GraphQL development, from defining robust schemas and input types to implementing efficient resolvers and preventing common performance pitfalls. By leveraging patterns like DataLoader for batching and strict error handling protocols, this skill ensures that your API is scalable, maintainable, and optimized for client-side consumption, whether you are building a new service or migrating from a legacy REST architecture.

主な機能

N+1 query prevention using DataLoader
Custom error handling with GraphQL extensions
Query complexity and input validation patterns
Schema design and SDL generation
Support for Apollo (Node.js) and Graphene (Python)
21 GitHub stars

ユースケース

Implementing real-time data updates via GraphQL subscriptions
Migrating legacy RESTful services to a unified GraphQL gateway
Optimizing data fetching for complex frontend applications

概要

主な機能

N+1 query prevention using DataLoader
Custom error handling with GraphQL extensions
Query complexity and input validation patterns
Schema design and SDL generation
Support for Apollo (Node.js) and Graphene (Python)
21 GitHub stars

ユースケース

Implementing real-time data updates via GraphQL subscriptions
Migrating legacy RESTful services to a unified GraphQL gateway
Optimizing data fetching for complex frontend applications