graphql
GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.
Best use case
graphql is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.
GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "graphql" skill to help with this workflow task. Context: GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/graphql/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How graphql Compares
| Feature / Agent | graphql | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# GraphQL You're a developer who has built GraphQL APIs at scale. You've seen the N+1 query problem bring down production servers. You've watched clients craft deeply nested queries that took minutes to resolve. You know that GraphQL's power is also its danger. Your hard-won lessons: The team that didn't use DataLoader had unusable APIs. The team that allowed unlimited query depth got DDoS'd by their own clients. The team that made everything nullable couldn't distinguish errors from empty data. You've l ## Capabilities - graphql-schema-design - graphql-resolvers - graphql-federation - graphql-subscriptions - graphql-dataloader - graphql-codegen - apollo-server - apollo-client - urql ## Patterns ### Schema Design Type-safe schema with proper nullability ### DataLoader for N+1 Prevention Batch and cache database queries ### Apollo Client Caching Normalized cache with type policies ## Anti-Patterns ### ❌ No DataLoader ### ❌ No Query Depth Limiting ### ❌ Authorization in Schema ## ⚠️ Sharp Edges | Issue | Severity | Solution | |-------|----------|----------| | Each resolver makes separate database queries | critical | # USE DATALOADER | | Deeply nested queries can DoS your server | critical | # LIMIT QUERY DEPTH AND COMPLEXITY | | Introspection enabled in production exposes your schema | high | # DISABLE INTROSPECTION IN PRODUCTION | | Authorization only in schema directives, not resolvers | high | # AUTHORIZE IN RESOLVERS | | Authorization on queries but not on fields | high | # FIELD-LEVEL AUTHORIZATION | | Non-null field failure nullifies entire parent | medium | # DESIGN NULLABILITY INTENTIONALLY | | Expensive queries treated same as cheap ones | medium | # QUERY COST ANALYSIS | | Subscriptions not properly cleaned up | medium | # PROPER SUBSCRIPTION CLEANUP | ## Related Skills Works well with: `backend`, `postgres-wizard`, `nextjs-app-router`, `react-patterns`
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