Skill

Generate Production-Ready GraphQL Resolvers

Generate production-ready GraphQL resolvers with TypeScript, optimized for performance and error handling.

Works with apollojoi

91
Spark score
out of 100
Updated 2 months ago
Source checked Sep 10, 2026
Version 1.0.0
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Why it matters

Automate the creation of robust and performant GraphQL resolvers. This asset ensures your API adheres to best practices, including type safety, efficient data fetching, and comprehensive error handling.

Outcomes

What it gets done

01

Generate TypeScript resolvers following standard signatures.

02

Implement context management for dependency injection and request-specific data.

03

Optimize data fetching with DataLoader and query complexity analysis.

04

Incorporate validation and custom error handling for API robustness.

Install

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Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-graphql-resolver-generator | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

GraphQL Resolver Generator

This skill generates production-ready GraphQL resolvers. It adheres to standard resolver signatures, utilizes TypeScript for type safety, and implements patterns for efficient data fetching and robust error handling. It supports basic queries, mutations with validation, field-level resolvers with DataLoader, and subscription resolvers. Use this skill when building new GraphQL APIs or refactoring existing ones to ensure resolvers are well-structured, performant, and maintainable. It's ideal for projects requiring adherence to GraphQL best practices, including input validation, error handling, and optimized data fetching.

What it does

As a backend developer, I want to efficiently create robust GraphQL resolvers so that I can deliver performant and maintainable APIs. The big job is building scalable backend services. The small job is generating the boilerplate code for GraphQL resolvers, including proper structure, context management, and error handling.

interface Context {
  dataSources: {
    userAPI: UserAPI;
    postAPI: PostAPI;
  };
  user?: User;
}

const resolvers = {
  Query: {
    user: async (
      _: any,
      { id }: { id: string },
      { dataSources }: Context
    ): Promise<User | null> => {
      try {
        return await dataSources.userAPI.findById(id);
      } catch (error) {
        throw new UserInputError(`User with ID ${id} not found`);
      }
    },

    users: async (
      _: any,
      { filter, pagination }: { filter?: UserFilter; pagination?: PaginationInput },
      { dataSources }: Context
    ): Promise<UserConnection> => {
      return await dataSources.userAPI.findMany({
        filter,
        ...pagination,
      });
    },
  },
};

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