How does this skill handle the GraphQL N+1 query problem?

It provides ready-to-use DataLoader implementations for each supported language, allowing you to batch and cache database requests efficiently.

Can I build real-time applications with this skill?

Absolutely. The skill includes documentation and code patterns for setting up GraphQL Subscriptions over WebSockets for real-time data streaming.

How does it assist with schema design?

It provides templates for defining Types, InputObjects, and Enums, ensuring your GraphQL schema is well-structured and follows best practices for both Rust and Python.

Does it include security best practices for public APIs?

Yes, it implements mandatory project protection (gitignore, pre-commit hooks) and provides configurations for query complexity and depth limiting to prevent resource exhaustion.

Which programming languages and frameworks are supported?

This skill provides specialized patterns for Rust (async-graphql + axum), Python (strawberry/ariadne + FastAPI), and Node.js (Apollo Server/Mercurius).

GraphQL API Development

Name: GraphQL API Development
Author: timequity

bytimequity

API開発

Builds robust, type-safe GraphQL APIs with automated schema design, efficient data loading, and real-time subscription support.

概要

This skill provides comprehensive guidance for architecting and implementing GraphQL servers across multiple ecosystems including Rust, Python, and Node.js. It streamlines the development process by enforcing security best practices like pre-commit hooks and Gitleaks, while offering advanced implementation patterns for solving the N+1 problem with DataLoaders. Whether you are building a high-performance backend in Rust with async-graphql or a rapid prototype in Python with Strawberry, this skill ensures your implementation is scalable, secure, and follows industry-standard schema design principles.

主な機能

Standardized schema design for types, inputs, mutations, and granular query resolvers
Automated DataLoader implementation to solve N+1 database query performance issues
0 GitHub stars
Built-in security features including query complexity limits and depth nesting protection
Real-time communication patterns via GraphQL Subscriptions and WebSocket configuration
Multi-stack support for Rust (async-graphql), Python (strawberry), and Node.js (Apollo Server)

ユースケース

Building high-performance backends for data-intensive web and mobile applications
Consolidating multiple microservices into a single, unified GraphQL gateway
Implementing real-time features like chat or live notifications using subscriptions

概要

主な機能

Standardized schema design for types, inputs, mutations, and granular query resolvers
Automated DataLoader implementation to solve N+1 database query performance issues
0 GitHub stars
Built-in security features including query complexity limits and depth nesting protection
Real-time communication patterns via GraphQL Subscriptions and WebSocket configuration
Multi-stack support for Rust (async-graphql), Python (strawberry), and Node.js (Apollo Server)

ユースケース

Building high-performance backends for data-intensive web and mobile applications
Consolidating multiple microservices into a single, unified GraphQL gateway
Implementing real-time features like chat or live notifications using subscriptions