graphql-api

Guide GraphQL API design for TypeScript and Python backends.

5|4|Updated Apr 26, 2026
One-click install
npx skills add https://github.com/Jignesh-Ponamwar/skills-mcp --skill graphql-api-jignesh-ponamwar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: graphql-api
Source: https://github.com/Jignesh-Ponamwar/skills-mcp/tree/main/skill_mcp/skills_data/graphql-api
Command: npx skills add https://github.com/Jignesh-Ponamwar/skills-mcp --skill graphql-api-jignesh-ponamwar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designing scalable GraphQL backends can be complex and error-prone; this Skill guides you through schema design, resolvers, pagination, authentication, DataLoader patterns, and testing to streamline development and ensure correctness.

Core Features & Use Cases

  • Covers schema design principles for TypeScript and Python servers (Yoga, Apollo Server, Strawberry) and client layers (Apollo Client, urql).
  • Implements DataLoader-based batching to prevent N+1 queries and improve performance.
  • Provides patterns for authentication, error handling, pagination (cursor and offset), and real-time subscriptions.
  • Real-world use cases include building a multi-tenant API, implementing secure mutations, and composing modular schemas for teams.

Quick Start

Set up a GraphQL server with your preferred stack, define your schema and resolvers, enable DataLoader, and implement authentication and pagination as demonstrated.

Frequently Asked Questions about graphql-api

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

FAQPage Schema
How do I design a GraphQL API schema and wire up resolvers?

Design your GraphQL API schema using code-first or schema-first definitions, then wire resolvers and handle context to structure server setup and client integration for TypeScript and Python backends.

What's the best way to prevent N+1 queries in a GraphQL server?

Integrate DataLoader-based batching into your GraphQL server to prevent N+1 queries, optimize database access patterns, and significantly improve backend query resolution performance.

Does this GraphQL API approach work with both TypeScript and Python backends?

Yes, the GraphQL API approach applies to TypeScript and Python backends including GraphQL Yoga, Apollo Server, and Strawberry, alongside front-end clients like Apollo Client or urql for integration.

How do I implement authentication and pagination in GraphQL?

Implement authentication and pagination in GraphQL by applying provided patterns for secure mutations, context handling, and both cursor and offset pagination to manage multi-tenant API data access.

Can I add real-time subscriptions to my GraphQL API?

Yes, you can add real-time subscriptions to your GraphQL API by utilizing the provided subscription patterns alongside schema design and authentication for comprehensive backend functionality.

What testing patterns should I use for a GraphQL backend?

Apply dedicated GraphQL testing patterns alongside schema design and resolver wiring to ensure correctness, validate modular schema compositions, and streamline multi-tenant API development.