Skill Store 33

Graphql Implementation

Builds GraphQL APIs with schema design, resolvers, error handling, and performance optimization u…

by secondsky · MIT

The skill

Builds GraphQL APIs with schema design, resolvers, error handling, and performance optimization using Apollo or Graphene. Use when creating flexible query APIs, migrating from REST, or implementing real-time subscriptions.

GraphQL 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

Use this skill

Connect your agent to the Skill Store MCP server and ask for it by ref: secondsky/graphql-implementation-4934933086.

Download SKILL.md · Markdown version

Details

Publisher
secondsky
Category
Software Development › APIs & backend
License
MIT
Updated
2026-09-26

References

More from secondsky