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.
By sickn33 · 705 installs
npx skills add sickn33/agentic-awesome-skills --skill graphql
Source repository · Upstream listing
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.
Detailed Guide
Read [the detailed guide](references/detailed guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end to end work, read the guide completely.
When to Use
User mentions or implies: graphql
User mentions or implies: graphql schema
User mentions or implies: graphql resolver
User mentions or implies: apollo server
User mentions or implies: apollo client
User mentions or implies: graphql federation
User mentions or implies: dataloader
User mentions or implies: graphql codegen
User mentions or implies: graphql query
User mentions or implies: graphql mutation
Example
User request:
Use @graphql for this task: GraphQL gives clients exactly the data they need no more, no less.
Limitations
Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.