Total 53,504 skills, Testing & QA has 1915 skills
Showing 12 of 1915 skills
World-class QA engineering - systematic testing, automation, and the mindset that finds bugs before users doUse when "QA, quality assurance, testing, test automation, e2e tests, integration tests, regression testing, test coverage, playwright, cypress, selenium, test suite, bug report, test strategy, flaky tests, testing, QA, automation, e2e, integration, regression, quality" mentioned.
Use when writing automation tests, functional tests, or any test in Unreal Engine. Also use when the user asks about "UE_LOG", logging, log categories, assertion, check, ensure, verify, DrawDebug, debug draw, console command, profiling, Unreal Insights, stat commands, or debugging techniques. See ue-module-build-system for test module setup, and ue-cpp-foundations for general C++ logging patterns.
Deep formal test smell audit based on academic research taxonomy (testsmells.org). Detects 19 categorized smell types — conditional logic, mystery guests, sensitive equality, eager tests, and more — with calibrated severity and research-backed remediation. Use for comprehensive test suite health assessments. For a quick pragmatic review, use test-anti-patterns instead. DO NOT USE FOR: writing new tests (use writing-mstest-tests), evaluating assertion quality specifically (use assertion-quality), or finding test duplication and boilerplate (use exp-test-maintainability).
This skill should be used when debugging full-stack issues that span UI, backend, and database layers. It provides a systematic workflow to detect errors, analyze root causes, apply fixes iteratively, and verify solutions through automated server restarts and browser-based testing. Ideal for scenarios like failing schedulers, import errors, database issues, or API payload problems where issues originate in backend code but manifest in the UI.
Generates structured test assertions and failure diagnostics for skill packages from a definition and task prompt. Triggers on: "verify this skill", "generate assertions", "surrogate verification", "diagnose skill failure". NOT for code review, use pr-review.
Implement a prepare-environment script (Bash on macOS/Linux, PowerShell on Windows) for an arbitrary programming language, following the same conceptual pattern as the bundled Java reference script in assets/. Use when the user wants to add a one-time per-build setup step (install deps, pre-build artifacts, populate caches) for a new language (Python, Node.js, Go, Rust, Flutter, etc.) to a ***plain project, or wants to regenerate / adapt the existing Java runner.
Used for debugging CAN bus communication, supports listening to, sending CAN frames, and scanning nodes via USB-CAN adapters.
Analyzes test suites and tags each test with a standardized set of traits (e.g., positive, negative, critical-path, boundary, smoke, regression). Use when the user wants to categorize, audit, or label tests with traits. Do not use for writing new tests, running tests, or migrating test frameworks.
Guide TDD workflow and testing strategy. Use when implementing features with tests, writing new tests, or establishing test coverage. Triggers on "TDD", "write tests", "test coverage", "red-green-refactor".
Testing reference for Megatron Bridge — unit and functional test layout, tier semantics (L0/L1/L2/flaky), script conventions, running tests locally, adding/moving/disabling tests, and pytest conventions.
Audit and harden a repository test suite so tests carry their weight. Use when the user asks whether tests are useful, flaky, duplicated, slow, under-covering critical behavior, missing contract/regression coverage, or when a codebase needs a test strategy before major refactors, releases, security work, or production hardening.
Plans real-user QA deliverables: personas, journey maps, exploratory charters, persona/journey/tour/CFR test cases, regression suites, Figma validation checks, automation intent, and user-impact bug reports. Writes artifacts under <qa-output-path>/qa/ for qa-execution to consume. Use when planning QA before execution, documenting journey-driven test strategy, marking flows that need E2E follow-up, or filing structured bug reports. Do not use for live execution, AI implementation audits, CI gate ownership, or technical integration/security/performance suites; use qa-execution or agent-output-audit instead.