What testing structure does the skill recommend?

It promotes the Arrange-Act-Assert pattern and follows a testing pyramid focusing on 70% unit tests, 20% integration tests, and 10% E2E tests.

What programming languages does this skill support?

This skill provides commands and patterns for Kotlin/Java using Gradle, JavaScript/TypeScript using NPM, and Python using Pytest.

Does it support code coverage tracking?

Yes, it includes specific validation commands for JaCoCo (Gradle), LCOV (NPM), and Pytest-cov to ensure projects meet their 80%+ coverage targets.

How does it handle failing tests or blockers?

The skill includes a standardized Blocker Report format to help identify and document implementation bugs, missing infrastructure, or flaky tests for senior developer review.

Testing & Quality Implementation

Name: Testing & Quality Implementation
Author: Angriff36

byAngriff36

セキュリティとテスト

Implements comprehensive automated testing strategies and quality assurance workflows across Kotlin, JavaScript, and Python environments.

概要

This skill equips Claude with specialized knowledge for architecting and executing robust testing suites within complex enterprise applications. It provides standardized patterns for unit, integration, and end-to-end testing using industry-standard tools like JUnit, MockK, and Jest. By enforcing rigorous validation commands and coverage targets (typically 80%+), it ensures code reliability while providing a structured framework for handling common testing blockers, edge cases, and performance bottlenecks.

主な機能

0 GitHub stars
Multilingual support for Kotlin (JUnit/MockK), JavaScript (Jest), and Python (Pytest)
Structured blocker reporting for efficient senior engineer intervention
Standardized Arrange-Act-Assert patterns for unit and integration testing
Comprehensive guidance for security, performance, and edge-case validation
Automated coverage tracking and validation against project-specific goals

ユースケース

Automating the verification of complex business logic and data transformations
Validating API endpoints and database integrations for enterprise service layers
Enforcing high test coverage during development to prevent regression in CI/CD

概要

主な機能

0 GitHub stars
Multilingual support for Kotlin (JUnit/MockK), JavaScript (Jest), and Python (Pytest)
Structured blocker reporting for efficient senior engineer intervention
Standardized Arrange-Act-Assert patterns for unit and integration testing
Comprehensive guidance for security, performance, and edge-case validation
Automated coverage tracking and validation against project-specific goals

ユースケース

Automating the verification of complex business logic and data transformations
Validating API endpoints and database integrations for enterprise service layers
Enforcing high test coverage during development to prevent regression in CI/CD