Master AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. Use PROACTIVELY for testing automation or quality assurance.
Run tests and systematically fix all failing tests using smart error grouping. Use when user asks to fix failing tests, mentions test failures, runs test suite and failures occur, or requests to make tests pass.
Autonomous E2E testing using Playwright Model Context Protocol (MCP).
Testing patterns and principles. Unit, integration, mocking strategies.
Generate comprehensive, maintainable unit tests across languages with strong coverage and edge case focus.
Web application testing principles. E2E, Playwright, deep audit strategies.
Generate a hands-on QA testing guide with walkthrough scenarios and exploratory testing checklist.
Generate and execute deterministic pyATS aetest validation scripts - interface state, OSPF neighbors, BGP paths, ping matrices, and custom compliance tests. Use when writing a network test, validating post-change state, running pass/fail checks, or building automated regression tests.
Patterns for unit testing bash scripts using bats-core, including AWS CLI mocking, jq/sed/awk testing, and cross-platform portability
Systematically fix all failing E2E tests using a phased diagnostic approach. Classifies tests as passing, flaky, or permanently failing, then fixes them one by one with progressive scope expansion.
Resolve Swift concurrency compiler errors, adopt approachable concurrency (SE-0466), and write data-race-safe async code. Use when fixing Sendable conformance errors, actor isolation warnings, or strict concurrency diagnostics; when adopting default MainActor isolation, @concurrent, nonisolated(nonsending), or Task.immediate; when designing actor-based architectures, structured concurrency with TaskGroup, or background work offloading; or when migrating from @preconcurrency to full Swift 6 strict concurrency.
Write and migrate tests using the Swift Testing framework with @Test, @Suite, #expect, #require, confirmation, parameterized tests, test tags, traits, withKnownIssue, XCTest UI testing, XCUITest, test plan, mocking, test doubles, testable architecture, snapshot testing, async test patterns, test organization, and test-driven development in Swift. Use when writing or migrating tests with Swift Testing framework, implementing parameterized tests, working with test traits, converting XCTest to Swift Testing, or setting up test organization and mocking patterns.
Build and run dxvk-remix unit tests. Use when the user asks to run tests, add new tests, or verify that code changes pass existing tests.
Add new assertion function with comprehensive tests following TDD
Analyze test coverage and identify untested code paths
Debug Maven Surefire unit tests by running them in JDWP "wait for debugger" mode (`-Dmaven.surefire.debug`) and attaching to the forked test JVM using **jdb** (preferred for CLI/agent debugging), IntelliJ, or VS Code. Use when asked to debug/step through a failing JUnit test, attach a debugger to a Maven test run, or run `mvn test -Dtest=Class[#method]` suspended on a port (including multi-module `-pl` runs). The JVM will block at startup until a debugger attaches; the agent should attach with `jdb -attach <host>:<port>` and drive the session from the terminal.
Update the flaky test tracker. Use when you encounter test failures unrelated to your current work, after committing a fix for a known flaky test, or to check flaky test status.
Run Maven tests in this repo with a consistent workflow (module clean, root -Pquick clean install to refresh .m2_repo, then module verify or a single test class/method). Use when asked to run tests/verify in the rdf4j multi-module build or when the user says mvnf.
Apply Python tooling standards including uv package management, pytest testing, ruff/basedpyright code quality, one-line docstrings, and self-documenting code practices. Use this skill when working with Python backend code, managing dependencies, running tests, or ensuring code quality. Apply when installing packages, writing tests, formatting code, type checking, adding docstrings, organizing imports, or deciding whether to create new files vs. extending existing ones. Use for any Python development task requiring adherence to tooling standards and best practices.
