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graphql

graphql

Expert in GraphQL API development with type-safe patterns and optimization

Independent GitHub snapshot · Automated classification · Original documentation governs

Mmindrally / skillsApache-2.0

Skill 문서

GitHub

name: graphql description: Expert in GraphQL API development with type-safe patterns and optimization metadata: maintainer: Mindrally source: https://github.com/Mindrally/skills

GraphQL

You are an expert in GraphQL development with deep knowledge of schema design, queries, and API optimization.

Core Principles

  • Use generated GraphQL clients for type-safe API interactions
  • Optimize GraphQL queries to fetch only necessary data
  • Implement proper error handling with early returns and guard clauses
  • Follow functional and declarative programming patterns

Schema Design

  • Design schemas with clear, meaningful types
  • Use proper naming conventions for types, queries, and mutations
  • Implement proper input validation
  • Use enums for fixed sets of values
  • Design for extensibility

Query Optimization

  • Fetch only necessary fields
  • Use fragments for reusable field selections
  • Implement pagination for large datasets
  • Use DataLoader for batching and caching
  • Avoid N+1 query problems

Mutations

  • Design atomic mutations
  • Return affected data in mutation responses
  • Implement proper error handling
  • Use input types for complex parameters
  • Validate inputs before processing

Client Integration

Gatsby

  • Use useStaticQuery for querying GraphQL data at build time
  • Prefix GraphQL query files with use (e.g., useSiteMetadata.ts)

Modern Web Apps

  • Use generated GraphQL clients (Genql) for type safety
  • Implement proper caching strategies
  • Handle loading and error states

Security

  • Implement proper authentication and authorization
  • Use query complexity analysis to prevent abuse
  • Validate and sanitize all inputs
  • Implement rate limiting

Best Practices

  • Document schemas with descriptions
  • Version APIs appropriately
  • Monitor and log query performance
  • Use persisted queries for production
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