About graphql-implementation
A reference skill for implementing GraphQL APIs, aimed at developers working on schema design, resolvers, and performance. It includes Apollo Server and Python Graphene examples, plus guidance on validation, error handling, and avoiding N+1 queries.
Key features
- 01Define schemas and resolvers
- 02Set up Apollo Server
- 03Use DataLoader to batch queries
- 04Handle errors with GraphQLError
- 05Apply query complexity limits
- 06Integrate Graphene with Flask
Use cases
- 01Build a GraphQL API with Apollo Server
- 02Prevent N+1 queries with DataLoader
- 03Validate inputs and structure API errors
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ secondsky/ claude-skills --skill graphql-implementationAfter installing, type/graphql-implementationin Claude Code to confirm it loaded.
Bundled filesreferences/python-graphene.md
Details
From the project READMEGraphQL Implementation
Build GraphQL APIs with proper schema design, resolvers, and performance optimization.
Schema Definition
type User {
id: ID!
name: String!
email: String!
posts(limit: Int = 10): [Post!]!
}
type Post {
id: ID!
title: String!
content: String!
author: User!
createdAt: DateTime!
}
type Query {
user(id: ID!): User
users(limit: Int, offset: Int): [User!]!
post(id: ID!): Post
}
type Mutation {
createUser(input: CreateUserInput!): User!
createPost(input: CreatePostInput!): Post!
}
input CreateUserInput {
name: String!
email: String!
}
Apollo Server Setup
const { ApolloServer } = require('@apollo/server');
const { startStandaloneServer } = require('@apollo/server/standalone');
const resolvers = {
Query: {
user: (_, { id }, { dataSources }) =>
dataSources.userAPI.getUser(id),
users: (_, { limit, offset }, { dataSources }) =>
dataSources.userAPI.getUsers({ limit, offset })
},
User: {
posts: (user, { limit }, { dataSources }) =>
dataSources.postAPI.getPostsByUser(user.id, limit)
},
Mutation: {
createUser: (_, { input }, { dataSources }) =>
dataSources.userAPI.createUser(input)
}
};
const server = new ApolloServer({ typeDefs, resolvers });
DataLoader for N+1 Prevention
const DataLoader = require('dataloader');
const userLoader = new DataLoader(async (ids) => {
const users = await User.find({ _id: { $in: ids } });
return ids.map(id => users.find(u => u.id === id));
});
Error Handling
const { GraphQLError } = require('graphql');
throw new GraphQLError('User not found', {
extensions: { code: 'NOT_FOUND', argumentName: 'id' }
});
Best Practices
- Use DataLoader to batch queries
- Implement query complexity limits
- Design schema around client needs
- Validate all inputs
- Use descriptive naming conventions
Python Graphene
See references/python-graphene.md for complete Flask implementation with:
- ObjectType definitions
- Query and Mutation classes
- Input types
- Flask integration
Best Practices
Do:
- Use DataLoader to batch queries
- Implement query complexity limits
- Design schema around client needs
- Validate all inputs
- Use descriptive naming conventions
- Add subscriptions for real-time data
Don't:
- Allow deeply nested queries without limits
- Expose database internals
- Ignore N+1 query problems
- Return unauthorized data
- Skip input validation
Comments
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