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.
Profile →npx skills add sickn33/agentic-awesome-skills --skill graphql --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Guides an AI agent to implement GraphQL APIs with a schema-first approach, including resolvers, DataLoader for batching, federation, subscriptions, caching strategies on the client, and code generation. Emphasizes design rules, performance optimizations, error handling via unions, and tooling across server and client components.
How it works
- Enforces a schema-first contract: treat the schema as the API contract and design nullability deliberately.
- Includes DataLoader patterns per request to batch and cache database queries, with loaders for users and posts by author, and attaches loaders to the request context in the server setup.
- Demonstrates Apollo Client caching with type policies, normalization, and cache updates after mutations, and shows how to write fully-typed queries using generated hooks.
- Covers code generation for TypeScript typings from the GraphQL schema and operations using graphql-codegen, including setup steps and a sample codegen.ts configuration and run command.
- Presents error handling using unions for expected failures, with examples for login flows and corresponding client handling logic.
- Recommends gating introspection in production, using persisted queries, and implementing depth/complexity limits to prevent DoS via deep or complex queries.
- Shows patterns for schema design (Query/Mutation/Subscription), input and payload types, pagination (Relay-style), and DataLoader usage notes.
When to use it
- When designing a GraphQL API that requires strong typing, performance safeguards, and scalable client integration.
- When needing concrete guidance on integrating DataLoader to prevent N+1 queries and on client-side caching strategies.
- When implementing error handling via unions and preparing codegen setup for TypeScript projects.
What it can touch
- Server-side: @apollo/server, graphql-yoga, mercurius; DataLoader; Apollo Server context; resolvers; typeDefs.
- Client-side: @apollo/client, urql; Apollo Client cache configuration; generated hooks.
- Tools: graphql-codegen; dataloader.
Caveats
- Exposes awareness of production risks like introspection exposure and the need for persisted queries in production.
- Suggests limiting query depth and complexity and using authentication strategies beyond directives in resolvers, noting potential security considerations in authorization design.
# 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. 2025 lesson: GraphQL isn't always the answer. For simple CRUD, REST is simpler. For high-performance public APIs, REST with caching wins. Use GraphQL when you have complex data relationships and diverse client needs. ## Principles - Schema-first design - the schema is the contract - Prevent N+1 queries with DataLoader - Limit query depth and complexity - Use fragments for reusable selections - Mutations should be specific, not generic update operations - Errors are data - use union types for expected failures - Nullability is meaningful - design it intentionally ## Capabilities - graphql-schema-design - graphql-resolvers - graphql-federation - graphql-subscriptions - graphql-datalo
- Principles
- Capabilities
- Scope
- Tooling
- Server
- Client
- Tools
- Patterns
- Schema Design
- DataLoader for N+1 Prevention
- Apollo Client Caching
- Code Generation
- Error Handling with Unions
- Sharp Edges
What does the graphql 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.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill graphql --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.