Can I use this for non-Saleor projects?

While the architectural patterns (Repository/Service/Zod) are universal, the specific GraphQL operations and deployment stages are tailored for the Saleor Configurator tool.

Is error handling standardized?

Absolutely. It uses a unified GraphQLError wrapping system and ensures that mutation-level error arrays are always checked and reported correctly.

How does it handle large data imports?

It implements bulk mutations with configurable chunking and error policies (like IGNORE_FAILED) to handle large datasets while respecting API rate limits.

Does this skill include automated testing?

Yes, it scaffolds Vitest unit and integration tests, including MSW (Mock Service Worker) setups for mocking GraphQL operations and test builders for data generation.

What technology stack does this skill support?

This skill is optimized for TypeScript environments using Zod for validation, gql.tada for GraphQL operations, urql for data fetching, and Vitest for testing.

Saleor Entity Model Scaffolding

Name: Saleor Entity Model Scaffolding
Author: saleor

bysaleor

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电子商务解决方案

Automates the end-to-end implementation of new Saleor data models, from Zod schemas and GraphQL operations to repository layers and tests.

关于

This skill provides a comprehensive framework for adding new entity types to the Saleor Configurator ecosystem. It guides Claude through a standardized seven-step workflow that ensures architectural consistency by generating Zod validation schemas, gql.tada-powered GraphQL operations, repository layers with built-in bulk mutation support, and robust test suites. By enforcing best practices for error handling, performance-optimized chunking, and type safety, it allows developers to focus on business logic while eliminating manual boilerplate in Saleor-based applications.

主要功能

Standardized repository and service layer implementation patterns
Zod-based schema generation for runtime and type-level validation
Auto-typed GraphQL operations utilizing gql.tada for type inference
Integrated unit and integration testing using Vitest and MSW
21 GitHub stars
Performance-optimized bulk mutations with intelligent chunking and error policies

使用场景

Creating new modules or features that require custom Saleor entity management
Standardizing data model implementation patterns across large e-commerce development teams
Implementing high-performance bulk data operations within the Saleor API ecosystem

关于

主要功能

Standardized repository and service layer implementation patterns
Zod-based schema generation for runtime and type-level validation
Auto-typed GraphQL operations utilizing gql.tada for type inference
Integrated unit and integration testing using Vitest and MSW
21 GitHub stars
Performance-optimized bulk mutations with intelligent chunking and error policies

使用场景

Creating new modules or features that require custom Saleor entity management
Standardizing data model implementation patterns across large e-commerce development teams
Implementing high-performance bulk data operations within the Saleor API ecosystem