Does it include security and project protection features?

Yes, it includes mandatory project protection setup, including .gitignore templates, pre-commit hooks, and Gitleaks integration to prevent secret exposure.

Which programming languages are supported by this skill?

This skill provides production-grade patterns for Rust (using async-graphql and axum), Python (using strawberry and FastAPI), and Node.js (using Apollo Server).

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

It provides specific implementation patterns for DataLoaders across all supported languages to batch and cache database requests, significantly improving performance.

Can I use this skill to build real-time applications?

Absolutely. The skill includes comprehensive guides and code snippets for implementing GraphQL Subscriptions via WebSockets for live data updates.

Does it help prevent malicious query attacks?

Yes, it includes patterns for implementing query complexity limits and maximum nesting depth to protect your server from resource exhaustion.

GraphQL API Development

Name: GraphQL API Development
Author: timequity

bytimequity

API Development

Builds high-performance GraphQL APIs with comprehensive schema design, real-time subscriptions, and optimized data fetching.

About

The GraphQL API skill empowers developers to architect and implement robust GraphQL servers across multiple ecosystems, including Rust (async-graphql), Python (strawberry), and Node.js (Apollo). It provides standardized patterns for schema design, resolvers, and mutations while enforcing best practices for security and performance. From solving the N+1 problem with DataLoaders to implementing real-time subscriptions and complex query limits, this skill ensures your API is production-ready, secure, and scalable from the first line of code.

Key Features

Built-in security hooks for project protection and credential leak prevention.
Multi-language support for Rust (Axum), Python (FastAPI/Strawberry), and Node.js (Apollo).
Standardized schema design for complex types, inputs, and resolvers.
Real-time capability implementation via GraphQL subscriptions and WebSockets.
N+1 problem mitigation using efficient DataLoader patterns.
0 GitHub stars

Use Cases

Architecting a new GraphQL backend from scratch using performance-first best practices.
Refactoring existing REST APIs to include real-time data streaming and subscriptions.
Optimizing API performance by implementing DataLoaders and query complexity limits.

About

Key Features

Built-in security hooks for project protection and credential leak prevention.
Multi-language support for Rust (Axum), Python (FastAPI/Strawberry), and Node.js (Apollo).
Standardized schema design for complex types, inputs, and resolvers.
Real-time capability implementation via GraphQL subscriptions and WebSockets.
N+1 problem mitigation using efficient DataLoader patterns.
0 GitHub stars

Use Cases

Architecting a new GraphQL backend from scratch using performance-first best practices.
Refactoring existing REST APIs to include real-time data streaming and subscriptions.
Optimizing API performance by implementing DataLoaders and query complexity limits.