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...

23 stars

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

$curl -o ~/.claude/skills/graphql/SKILL.md --create-dirs "https://raw.githubusercontent.com/christophacham/agent-skills-library/main/skills/backend-dev/graphql/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/graphql/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How graphql Compares

Feature / AgentgraphqlStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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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