graphql-api-development_skill

This skill helps you design, implement, and optimize production-grade GraphQL APIs with schemas, resolvers, auth, caching, and deployment best practices.
  • Shell

40

GitHub Stars

3

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill manutej/luxor-claude-marketplace --skill graphql-api-development

  • EXAMPLES.md59.0 KB
  • README.md14.4 KB
  • SKILL.md28.7 KB

Overview

This skill is a comprehensive guide for designing and building production-ready GraphQL APIs using graphql-js and Node.js. It covers schema design, resolvers, queries, mutations, subscriptions, authentication, authorization, performance tuning, and deployment best practices. The content focuses on practical patterns, common pitfalls, and scalable architecture choices.

How this skill works

The skill explains how to define schemas with SDL or programmatic APIs, implement resolvers, and wire context for db and auth. It shows patterns for mutations, subscriptions (WebSocket), error handling, and field-level authorization. It also presents optimization techniques like DataLoader, query complexity analysis, and pagination strategies for production readiness.

When to use it

  • Building a new API that requires flexible client-driven data fetching
  • Replacing or augmenting REST for nested or composite resources
  • Serving multiple client types (web, mobile, desktop) with a single schema
  • Adding real-time updates via subscriptions
  • Implementing strict type validation and self-documenting APIs
  • Composing microservices into a unified GraphQL layer

Best practices

  • Design clear types and use input types for complex mutation payloads
  • Use DataLoader to batch and cache database calls to avoid N+1 queries
  • Enforce validation, return structured error payloads or union-based results
  • Apply auth in context and implement resolver- or field-level authorization checks
  • Limit query complexity and depth to protect against expensive operations
  • Prefer cursor-based pagination for large datasets and predictable cursors

Example use cases

  • GraphQL server for a social app with nested user/posts/comments relationships
  • Real-time chat or feed system using subscriptions over WebSocket
  • Unified API gateway that aggregates multiple microservices
  • Replacing multiple REST endpoints with a single flexible endpoint for mobile apps
  • Implementing role-based access and field masking in enterprise APIs

FAQ

Use SDL for readability and faster iteration; use programmatic APIs when you need dynamic or type-safe schema generation in code.

How do I prevent N+1 queries?

Introduce DataLoader or similar batching in context to aggregate database requests per request lifecycle and cache repeated loads.

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