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.
- License 许可
- MIT
- 最近更新
- 2026-09-04
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- ★ 0
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01 前言 Front Matter
- name
- graphql
- source
- vibeship-spawner-skills (Apache 2.0)
- description
- 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.
02 资源文件 1
- 参考文档references/github-api-cheatsheet.md5.9 KB
03 SKILL.md 正文
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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