Does it handle UI and component testing?

Absolutely. It provides specific patterns for testing UI components, user interactions, and end-to-end flows to ensure the frontend functions correctly.

Can it help me reach 100% code coverage?

Yes, the skill is designed to identify untested logic, boundary conditions, and error paths to maximize coverage, specifically targeting a minimum of 80% with 100% on critical paths.

What testing frameworks does this skill support?

This skill is framework-agnostic and adapts to your project's existing configuration, supporting popular tools like Jest, Vitest, Pytest, Cypress, and Playwright.

How does it handle complex test data?

The skill utilizes reusable fixture and factory patterns to manage test data efficiently, ensuring tests remain isolated and do not depend on external state.

Automated Test Suite Architect

Name: Automated Test Suite Architect
Author: Microck

byMicrock

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セキュリティとテスト

Generates comprehensive automated test suites across unit, integration, and E2E layers to ensure code reliability and requirement coverage.

概要

This Claude Code skill provides a systematic framework for writing high-quality automated tests by mapping technical requirements and user stories to executable test cases. It guides Claude through the entire testing lifecycle, from determining scope and understanding existing patterns to implementing complex mocks, fixtures, and edge cases. Whether you are using Jest, Vitest, Pytest, or Playwright, this skill ensures your codebase maintains high coverage and adheres to industry-standard testing workflows for more resilient and bug-free software.

主な機能

Advanced edge case identification including boundary conditions and network failures
81 GitHub stars
Parallel implementation strategies for rapid test development across large repositories
Standardized test fixture and data factory patterns for reusable setups
Multi-layer test generation covering Unit, Integration, Component, and E2E levels
Requirements mapping to convert user stories and acceptance criteria into test cases

ユースケース

Generating regression test suites for legacy codebases during refactoring efforts
Implementing complex API integration tests with proper database mocking and teardown
Adding comprehensive test coverage to new features based on specific acceptance criteria

概要

主な機能

Advanced edge case identification including boundary conditions and network failures
81 GitHub stars
Parallel implementation strategies for rapid test development across large repositories
Standardized test fixture and data factory patterns for reusable setups
Multi-layer test generation covering Unit, Integration, Component, and E2E levels
Requirements mapping to convert user stories and acceptance criteria into test cases

ユースケース

Generating regression test suites for legacy codebases during refactoring efforts
Implementing complex API integration tests with proper database mocking and teardown
Adding comprehensive test coverage to new features based on specific acceptance criteria