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.