mindrally/skills

graphql

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

Hot #2286 First seen Jan 25, 2026

Installation

$ npx skills add mindrally/skills --skill graphql

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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Gemini CLI Not declared
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Repository health

Stars 258
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,790 B
  • docs SUMMARY.md 1,753 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 636 installs

SKILL.md

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