What testing frameworks does this skill support?

This skill is specifically optimized for Vitest as the primary test runner and MSW (Mock Service Worker) for handling network and GraphQL mocking.

Does it automatically run my tests?

The skill can execute tests using pnpm commands to verify that new code passes and to check if coverage requirements are met.

Can this skill help with GraphQL mocking?

Yes, it provides specific patterns for defining MSW handlers for both GraphQL queries and mutations, allowing for realistic integration testing.

How does it improve test data management?

It implements the Test Data Builder pattern, which uses a fluent interface and Zod schemas to create valid, typed fixtures for your test suites.

When does this skill activate?

It triggers automatically when Claude detects tasks related to writing tests, analyzing coverage, configuring Vitest, or debugging test failures.

Test Coverage & Strategy Analyst

Name: Test Coverage & Strategy Analyst
Author: saleor

bysaleor

•

Security & Testing

Automates the creation and analysis of comprehensive Vitest and MSW test suites to ensure robust code quality.

About

This skill provides domain-specific guidance for implementing unit, integration, and E2E tests within the Saleor Configurator ecosystem. It leverages Vitest for high-performance testing and MSW for sophisticated network mocking, ensuring developers follow project-standard patterns like Arrange-Act-Assert and Test Data Builders. Whether you are scaffolding new tests for complex data models or analyzing coverage gaps, this skill helps identify edge cases, configure mocks, and debug failures efficiently.

Key Features

Analyzes test coverage gaps to suggest missing positive and negative cases
Configures MSW handlers for network and GraphQL API mocking
Generates standardized Vitest unit and integration test structures
22 GitHub stars
Implements fluent Test Data Builders with Zod schema validation
Provides automated debugging assistance for complex test failures

Use Cases

Scaffolding comprehensive tests for new data model services and repositories
Refactoring existing tests to align with project-specific helpers and patterns
Mocking external GraphQL dependencies for isolated integration testing

About

Key Features

Analyzes test coverage gaps to suggest missing positive and negative cases
Configures MSW handlers for network and GraphQL API mocking
Generates standardized Vitest unit and integration test structures
22 GitHub stars
Implements fluent Test Data Builders with Zod schema validation
Provides automated debugging assistance for complex test failures

Use Cases

Scaffolding comprehensive tests for new data model services and repositories
Refactoring existing tests to align with project-specific helpers and patterns
Mocking external GraphQL dependencies for isolated integration testing