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Graphql implementation

Skill ComeOnOliver/skillshub/skills/secondsky/claude-skills/graphql-implementation

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Install
npx -y skills add ComeOnOliver/skillshub --skill graphql-implementation

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What its author says it does

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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.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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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

Keep looking

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