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 co...
Best use case
graphql is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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 co...
Teams using graphql should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
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 co...
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` ## When to Use This skill is applicable to execute the workflow or actions described in the overview.
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