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graphql-expert

graphql-expert

github.com/travisjneumanDevelopment107129 installsUpdated 1d ago
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About graphql-expert

graphql-expert is a guide for developers designing and implementing GraphQL APIs. It covers schema and resolver patterns alongside performance, security, subscriptions, and client integration.

Key features

  1. 01GraphQL schema and type design
  2. 02Queries, pagination, and mutations
  3. 03Resolver implementation and context
  4. 04Performance and query limits
  5. 05Authentication, authorization, and errors
  6. 06Subscriptions and client integration

Use cases

  1. 01Plan a GraphQL API schema
  2. 02Implement pagination and mutations
  3. 03Address N+1 query problems
  4. 04Add access control to fields

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/travisjneuman/.claude --skill graphql-expert

After installing, type/graphql-expertin Claude Code to confirm it loaded.

Details

From the project README

GraphQL Expert

Comprehensive guide for designing and implementing GraphQL APIs.

GraphQL Fundamentals

What is GraphQL?
GraphQL is a query language for APIs that:
✓ Lets clients request exactly what they need
✓ Gets multiple resources in one request
✓ Uses a type system to describe data
✓ Provides introspection (self-documenting)

GraphQL vs REST:
┌─────────────────────────────────────────┐
│ REST: Multiple endpoints, fixed shapes  │
│ GET /users/1                            │
│ GET /users/1/posts                      │
│ GET /users/1/followers                  │
├─────────────────────────────────────────┤
│ GraphQL: Single endpoint, flexible      │
│ POST /graphql                           │
│ query { user(id: 1) {                   │
│   name                                  │
│   posts { title }                       │
│   followers { name }                    │
│ }}                                      │
└─────────────────────────────────────────┘

Schema Design

Type System
# Scalar Types (built-in)
String, Int, Float, Boolean, ID

# Custom Scalar
scalar DateTime
scalar JSON

# Object Type
type User {
  id: ID!
  email: String!
  name: String
  createdAt: DateTime!
  posts: [Post!]!
}

# Enum
enum Role {
  ADMIN
  USER
  GUEST
}

# Interface
interface Node {
  id: ID!
}

type User implements Node {
  id: ID!
  # ... other fields
}

# Union
union SearchResult = User | Post | Comment

# Input Type (for mutations)
input CreateUserInput {
  email: String!
  name: String!
  role: Role = USER
}
Nullability
# Field modifiers:
String      # Nullable string
String!     # Non-null string
[String]    # Nullable list of nullable strings
[String!]   # Nullable list of non-null strings
[String]!   # Non-null list of nullable strings
[String!]!  # Non-null list of non-null strings

# Best practice:
# - Make fields nullable by default
# - Use ! only when guaranteed non-null
# - Lists should usually be non-null: [Item!]!
Schema Structure
# Root Types
type Query {
  # Read operations
  user(id: ID!): User
  users(limit: Int, offset: Int): [User!]!
  me: User
}

type Mutation {
  # Write operations
  createUser(input: CreateUserInput!): User!
  updateUser(id: ID!, input: UpdateUserInput!): User!
  deleteUser(id: ID!): Boolean!
}

type Subscription {
  # Real-time updates
  userCreated: User!
  messageReceived(roomId: ID!): Message!
}

Query Design

Basic Queries
# Simple query
query GetUser {
  user(id: "1") {
    name
    email
  }
}

# With variables
query GetUser($id: ID!) {
  user(id: $id) {
    name
    email
  }
}

# Multiple queries
query Dashboard {
  me {
    name
    notifications {
      count
    }
  }
  recentPosts(limit: 5) {
    title
    createdAt
  }
}
Pagination
# Offset-based (simple, but has issues)
type Query {
  users(limit: Int!, offset: Int!): [User!]!
}

# Cursor-based (recommended)
type Query {
  users(first: Int, after: String): UserConnection!
}

type UserConnection {
  edges: [UserEdge!]!
  pageInfo: PageInfo!
  totalCount: Int!
}

type UserEdge {
  cursor: String!
  node: User!
}

type PageInfo {
  hasNextPage: Boolean!
  hasPreviousPage: Boolean!
  startCursor: String
  endCursor: String
}

# Usage
query {
  users(first: 10, after: "cursor123") {
    edges {
      cursor
      node {
        name
        email
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}
Filtering & Sorting
input UserFilter {
  name: StringFilter
  email: StringFilter
  role: Role
  createdAt: DateFilter
}

input StringFilter {
  equals: String
  contains: String
  startsWith: String
}

input DateFilter {
  before: DateTime
  after: DateTime
}

enum UserSortField {
  NAME
  EMAIL
  CREATED_AT
}

input UserSort {
  field: UserSortField!
  direction: SortDirection!
}

enum SortDirection {
  ASC
  DESC
}

type Query {
  users(
    filter: UserFilter
    sort: UserSort
    first: Int
    after: String
  ): UserConnection!
}

Mutations

Mutation Design
# Input types for mutations
input CreatePostInput {
  title: String!
  content: String!
  published: Boolean = false
  categoryIds: [ID!]
}

input UpdatePostInput {
  title: String
  content: String
  published: Boolean
}

# Mutation payloads (recommended)
type CreatePostPayload {
  post: Post
  errors: [Error!]!
}

type Error {
  field: String
  message: String!
}

type Mutation {
  createPost(input: CreatePostInput!): CreatePostPayload!
  updatePost(id: ID!, input: UpdatePostInput!): UpdatePostPayload!
  deletePost(id: ID!): DeletePostPayload!
}

# Usage
mutation CreatePost($input: CreatePostInput!) {
  createPost(input: $input) {
    post {
      id
      title
    }
    errors {
      field
      message
    }
  }
}
Batch Mutations
# For multiple operations
type Mutation {
  bulkDeletePosts(ids: [ID!]!): BulkDeletePayload!
  bulkUpdatePosts(updates: [PostUpdate!]!): BulkUpdatePayload!
}

input PostUpdate {
  id: ID!
  input: UpdatePostInput!
}

Resolvers

Basic Resolvers
// TypeScript resolver implementation
const resolvers = {
  Query: {
    user: async (_, { id }, context) => {
      return context.dataSources.users.findById(id);
    },

    users: async (_, { filter, sort, first, after }, context) => {
      return context.dataSources.users.findMany({
        filter,
        sort,
        first,
        after,
      });
    },
  },

  Mutation: {
    createUser: async (_, { input }, context) => {
      // Validate
      const errors = validateCreateUser(input);
      if (errors.length) {
        return { user: null, errors };
      }

      // Create
      const user = await context.dataSources.users.create(input);
      return { user, errors: [] };
    },
  },

  // Field resolvers
  User: {
    posts: async (user, _, context) => {
      return context.dataSources.posts.findByUserId(user.id);
    },

    fullName: (user) => {
      return `${user.firstName} ${user.lastName}`;
    },
  },
};
Resolver Context
// Context setup
interface Context {
  user: User | null;
  dataSources: {
    users: UserDataSource;
    posts: PostDataSource;
  };
  loaders: {
    userLoader: DataLoader<string, User>;
    postLoader: DataLoader<string, Post>;
  };
}

// In server setup
const server = new ApolloServer({
  typeDefs,
  resolvers,
  context: async ({ req }) => ({
    user: await getUserFromToken(req.headers.authorization),
    dataSources: {
      users: new UserDataSource(db),
      posts: new PostDataSource(db),
    },
    loaders: createLoaders(),
  }),
});

Performance Optimization

DataLoader (N+1 Solution)
import DataLoader from "dataloader";

// Create loader
const userLoader = new DataLoader<string, User>(async (ids) => {
  const users = await db.users.findMany({
    where: { id: { in: ids } },
  });

  // Return in same order as input ids
  const userMap = new Map(users.map((u) => [u.id, u]));
  return ids.map((id) => userMap.get(id) || null);
});

// Use in resolver
const resolvers = {
  Post: {
    author: (post, _, context) => {
      return context.loaders.userLoader.load(post.authorId);
    },
  },
};
Query Complexity
import { createComplexityLimitRule } from "graphql-validation-complexity";

// Limit query complexity
const complexityLimitRule = createComplexityLimitRule(1000, {
  scalarCost: 1,
  objectCost: 10,
  listFactor: 10,
});

// Or field-level costs
const typeDefs = gql`
  type Query {
    users: [User!]! @complexity(value: 10, multipliers: ["first"])
    user(id: ID!): User @complexity(value: 1)
  }
`;
Query Depth Limiting
import depthLimit from "graphql-depth-limit";

const server = new ApolloServer({
  typeDefs,
  resolvers,
  validationRules: [depthLimit(10)],
});
Persisted Queries
// Client sends hash instead of full query
// Reduces bandwidth, enables whitelisting

// Apollo Client setup
import { createPersistedQueryLink } from "@apollo/client/link/persisted-queries";

const link = createPersistedQueryLink({ sha256 }).concat(httpLink);

// Server validates against known queries
const server = new ApolloServer({
  typeDefs,
  resolvers,
  persistedQueries: {
    cache: new RedisCache(),
  },
});

Authentication & Authorization

Context-Based Auth
// Add user to context
const context = async ({ req }) => {
  const token = req.headers.authorization?.replace("Bearer ", "");
  const user = token ? await verifyToken(token) : null;
  return { user };
};

// Check in resolvers
const resolvers = {
  Query: {
    me: (_, __, context) => {
      if (!context.user) {
        throw new AuthenticationError("Not authenticated");
      }
      return context.user;
    },
  },
};
Directive-Based Auth
directive @auth(requires: Role = USER) on FIELD_DEFINITION

type Query {
  publicPosts: [Post!]!
  me: User @auth
  adminDashboard: Dashboard @auth(requires: ADMIN)
}
// Directive implementation
class AuthDirective extends SchemaDirectiveVisitor {
  visitFieldDefinition(field) {
    const { resolve = defaultFieldResolver } = field;
    const requiredRole = this.args.requires;

    field.resolve = async function (...args) {
      const context = args[2];

      if (!context.user) {
        throw new AuthenticationError("Not authenticated");
      }

      if (requiredRole && context.user.role !== requiredRole) {
        throw new ForbiddenError("Not authorized");
      }

      return resolve.apply(this, args);
    };
  }
}

Error Handling

Error Types
import {
  ApolloError,
  AuthenticationError,
  ForbiddenError,
  UserInputError,
} from "apollo-server";

// Validation errors
throw new UserInputError("Invalid email format", {
  field: "email",
});

// Auth errors
throw new AuthenticationError("Must be logged in");
throw new ForbiddenError("Not authorized to view this resource");

// Custom errors
class NotFoundError extends ApolloError {
  constructor(resource: string) {
    super(`${resource} not found`, "NOT_FOUND");
  }
}
Error Formatting
const server = new ApolloServer({
  formatError: (error) => {
    // Log internal errors
    if (error.extensions?.code === "INTERNAL_SERVER_ERROR") {
      console.error(error);
      return new Error("Internal server error");
    }

    // Mask sensitive info
    if (error.message.includes("password")) {
      return new Error("An error occurred");
    }

    return error;
  },
});

Subscriptions

Setup
type Subscription {
  messageCreated(roomId: ID!): Message!
  userStatusChanged(userId: ID!): UserStatus!
}
import { PubSub } from "graphql-subscriptions";

const pubsub = new PubSub();

const resolvers = {
  Mutation: {
    sendMessage: async (_, { input }, context) => {
      const message = await createMessage(input);

      pubsub.publish(`MESSAGE_CREATED_${input.roomId}`, {
        messageCreated: message,
      });

      return message;
    },
  },

  Subscription: {
    messageCreated: {
      subscribe: (_, { roomId }) => {
        return pubsub.asyncIterator(`MESSAGE_CREATED_${roomId}`);
      },
    },
  },
};
With Filtering
import { withFilter } from "graphql-subscriptions";

const resolvers = {
  Subscription: {
    messageCreated: {
      subscribe: withFilter(
        () => pubsub.asyncIterator("MESSAGE_CREATED"),
        (payload, variables, context) => {
          // Only send to users in the room
          return (
            payload.messageCreated.roomId === variables.roomId &&
            context.user.rooms.includes(variables.roomId)
          );
        },
      ),
    },
  },
};

Client Integration

Apollo Client Setup
import { ApolloClient, InMemoryCache, createHttpLink } from "@apollo/client";
import { setContext } from "@apollo/client/link/context";

const httpLink = createHttpLink({
  uri: "/graphql",
});

const authLink = setContext((_, { headers }) => {
  const token = localStorage.getItem("token");
  return {
    headers: {
      ...headers,
      authorization: token ? `Bearer ${token}` : "",
    },
  };
});

const client = new ApolloClient({
  link: authLink.concat(httpLink),
  cache: new InMemoryCache(),
});
React Hooks
import { useQuery, useMutation, gql } from '@apollo/client';

const GET_USER = gql`
  query GetUser($id: ID!) {
    user(id: $id) {
      id
      name
      email
    }
  }
`;

function UserProfile({ userId }) {
  const { loading, error, data } = useQuery(GET_USER, {
    variables: { id: userId },
  });

  if (loading) return <Spinner />;
  if (error) return <Error message={error.message} />;

  return <div>{data.user.name}</div>;
}

// Mutation
const CREATE_POST = gql`
  mutation CreatePost($input: CreatePostInput!) {
    createPost(input: $input) {
      post { id title }
      errors { field message }
    }
  }
`;

function CreatePostForm() {
  const [createPost, { loading }] = useMutation(CREATE_POST, {
    update(cache, { data }) {
      // Update cache after mutation
    },
  });

  const handleSubmit = async (input) => {
    const { data } = await createPost({ variables: { input } });
    if (data.createPost.errors.length) {
      // Handle errors
    }
  };
}

Best Practices

DO:
  • Design schema from client perspective
  • Use input types for mutations
  • Return payloads with errors from mutations
  • Implement DataLoader for N+1 prevention
  • Use cursor-based pagination
  • Add query complexity limits
  • Version schemas carefully
DON'T:
  • Expose database schema directly
  • Create deeply nested types unnecessarily
  • Forget about authorization
  • Allow unbounded queries
  • Skip error handling
  • Ignore caching strategies
  • Mutate data in queries

Schema Checklist

  • Types named descriptively (singular, PascalCase)
  • Consistent nullability patterns
  • Input types for all mutations
  • Payload types with error handling
  • Pagination for all lists
  • Authentication/authorization considered
  • Performance optimizations in place

Comments

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