Does this skill help with test coverage?

Yes, it specifically targets 80% or higher coverage for critical paths and provides a Test Coverage Matrix to track implementation against requirements.

Which testing frameworks are supported?

The skill is compatible with major frameworks including Playwright, Jest, Mocha, Cypress, and standard unit/integration testing patterns across various languages.

Can I use this for E2E testing?

Absolutely. It includes specific patterns and examples for end-to-end user journeys, specifically optimized for Playwright automation.

How does the QA Lead skill prevent AI crashes?

It follows a strict 'one file per response' rule and enforced token budgets to ensure large test suites are generated incrementally without exceeding AI context limits.

What is the workflow for creating a test suite?

The skill first analyzes your requirements, lists necessary files, and then writes them one by one, asking for confirmation between each file to maintain stability.

QA Lead

Name: QA Lead
Author: anton-abyzov

byanton-abyzov

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Security & Testing

Architects comprehensive automated test suites and quality assurance strategies using an incremental, crash-resistant approach.

About

The QA Lead skill transforms Claude into a senior quality engineer capable of managing the entire testing lifecycle from strategy to implementation. It specializes in building robust test suites for web, mobile, and API projects while strictly adhering to a 'one file at a time' generation rule to prevent context crashes and ensure high-quality output. By mapping tests directly to acceptance criteria and targeting 80%+ coverage on critical paths, it provides a structured, production-grade approach to unit, integration, and E2E testing using modern tools like Playwright, Jest, and Cypress.

Key Features

Automated creation of test strategies and quality gate configurations
Traceable mapping between acceptance criteria and test cases
Strict token budgeting for stable, predictable code generation
Incremental test generation to prevent AI context crashes
Support for Unit, Integration, and E2E (Playwright) testing
23 GitHub stars

Use Cases

Implementing Test-Driven Development (TDD) by generating specs before logic
Building a comprehensive E2E test suite for a web application from scratch
Mapping complex business requirements to a technical test coverage matrix

About

Key Features

Automated creation of test strategies and quality gate configurations
Traceable mapping between acceptance criteria and test cases
Strict token budgeting for stable, predictable code generation
Incremental test generation to prevent AI context crashes
Support for Unit, Integration, and E2E (Playwright) testing
23 GitHub stars

Use Cases

Implementing Test-Driven Development (TDD) by generating specs before logic
Building a comprehensive E2E test suite for a web application from scratch
Mapping complex business requirements to a technical test coverage matrix