
Analyze OpenAPI/Swagger spec (JSON or YAML) against existing test files and generate an HTML coverage report with QA automation tasks. Use when user provides an OpenAPI spec file and wants to know test coverage status.
Generate httpx/requests API tests for Python with async support, session management, and schema validation using pytest.
Jira integration for creating issues, managing epics/sprints, syncing with Xray/Zephyr test management, and tracking QA workflows via REST API or Atlassian MCP.
Generate JMeter performance test plans in XML/JMX format with thread groups, samplers, listeners, assertions, and CI-ready configuration.
Autonomously explore live web applications using Playwright MCP to collect page structure, form fields, validation rules, API endpoints, and user flows for test case generation.
Generate Cypress E2E and component tests for TypeScript with time-travel debugging, cy.intercept for network mocking, and component testing via cy.mount.
Verify test environment readiness by checking services, databases, required accounts, configurations, dependencies, and tool availability before test execution.
Generate JUnit 5 unit and integration tests for Java with parameterized tests, nested classes, extensions, Mockito mocking, and AssertJ assertions.
Generate k6 performance tests in JavaScript for load, stress, soak, and spike testing with thresholds, scenarios, checks, and CI-friendly output.
Generate mobile tests using Appium, WebdriverIO Mobile, and Flutter Driver for iOS and Android native, hybrid, Flutter, and mobile web applications.
Design manual test cases and exploratory testing charters using specification-based techniques, risk-based prioritization, and persona-based testing approaches.
Master skill coordinating all QA skills through pipeline modes (full-cycle, docs-only, testcases-only, write-tests, report), formalized handoff chains, scheduler rules, and framework/language selection based on project context.
Generate realistic test data using fixtures, factory patterns, and faker-based seeds for consistent and reproducible test environments.
Manage and formalize API contracts from existing endpoints, swagger/JSON, network traffic, or developer interviews into OpenAPI specifications.
Generate structured bug reports from test failures with expected/actual results, reproduction steps, evidence, severity/priority, and auto-create GitHub Issues via GitHub MCP with duplicate detection.
Analyze CI history and test execution data to identify flaky tests using 4-pattern classification -- race conditions, shared state, time-dependency, external dependencies -- with suggested fixes.
QA-adapted discovery interview that transforms vague context into structured QA briefs through iterative questioning. Works standalone or as an embedded service auto-triggered by other skills when input is insufficient.
Enhanced GitHub Issues workflows with auto-labels, issue templates, milestone management, and structured QA workflows via GitHub MCP.
Generate Jest unit and integration tests for TypeScript/JavaScript projects with jest.mock, snapshots, code coverage, and describe/it patterns.
Generate accessibility tests for WCAG 2.2 compliance using axe-core, Pa11y, and Lighthouse with automated checks for ARIA patterns, keyboard navigation, color contrast, and screen reader support.
Analyze git diff and commit history to recommend which tests to add, update, or run based on code changes.
Generate CodeceptJS scenario-driven E2E and BDD tests for TypeScript with human-readable syntax, multi-backend support (Playwright/WebDriver/Puppeteer), and Gherkin integration.
Analyze test coverage across three dimensions -- requirements/model coverage via RTM, technique coverage per ISO 29119-4, and code coverage via Istanbul/V8/JaCoCo -- with risk-based gap recommendations.
Universal QA plan generator supporting 10 plan types including test plans, sprint plans, regression plans, release plans, UAT plans, performance plans, migration plans, onboarding plans, and custom plans.
Generate consumer-driven contract tests using Pact for JavaScript and Python to verify microservice API compatibility between consumer and provider.
Dedicated non-functional requirements analysis per ISO/IEC 25010 quality model covering performance, security, usability, reliability, maintainability, and portability.
Generate Locust performance tests in Python for load testing with distributed mode, custom load shapes, and real-time web UI monitoring.
Linear integration for creating issues, managing projects/cycles, and tracking QA workflows via GraphQL API or Linear MCP.
Universal diagram generator supporting 14 Mermaid diagram types. Works standalone or as an embedded service for other QA skills.
ClickUp integration for creating tasks, managing lists/spaces, and tracking QA workflows via REST API.