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windows-qa-engineer

Automate Windows 11 desktop UI testing with UIA accessibility assertions.

119|10|Updated Jan 16, 2026
Search Tags:#accessibility#mcp#desktop apps#ui automation#qa testing#ufo#windows 11
One-click install
npx skills add https://github.com/CodeAlive-AI/ai-driven-development --skill windows-qa-engineer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: windows-qa-engineer
Source: https://github.com/CodeAlive-AI/ai-driven-development/tree/main/skills/windows-qa-engineer
Command: npx skills add https://github.com/CodeAlive-AI/ai-driven-development --skill windows-qa-engineer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastmcp, pydantic, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

It eliminates the unreliable “browser-only” or mocked UI testing approach by enabling deterministic QA on real Windows 11 desktop apps using the same physical desktop as the System Under Test (SUT).

Core Features & Use Cases

  • Real Windows UI automation (no mocks): Drives and inspects WinForms/WPF/UWP/Win32 UI via UFO using accessibility trees (UIA by default, Win32 fallback).
  • Fast MCP tool composition: Mounts UFO’s UICollector, HostUIExecutor, and AppUIExecutor into a single stdio MCP server (FastMCP), so the agent only needs one MCP entry.
  • QA-first workflow with assertions: Provides helper tools for discovering windows, re-collecting controls, screenshot baselines, and polling assertions like qa_wait_for_text_contains to avoid arbitrary sleeps.
  • Use cases: Smoke/regression checks for login flows, form input verification, dialog workflows, and desktop UI validation where controls must be discovered reliably from the accessibility tree.

Quick Start

Tell the agent: Test the login flow on MyApp, then provide the window title hint so it can discover the SUT, drive UI controls, assert expected text, and report PASS/FAIL with screenshots.

Frequently Asked Questions about windows-qa-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Windows desktop UI testing without using mocked browsers?▼

Windows desktop UI testing can be automated on the real SUT by driving WinForms, WPF, UWP, and Win32 applications through UFO-powered accessibility trees. This approach inspects physical UI controls directly, eliminating the need for unreliable browser-only or mocked testing environments.

What is the best way to run smoke and regression tests on Windows 11 desktop apps?▼

Smoke and regression tests for Windows 11 desktop apps run by discovering windows, driving UI controls, and validating expected text using accessibility backends. Polling assertions like qa_wait_for_text_contains verify UI states reliably without arbitrary sleeps during login flows or dialog workflows.

Does UI automation testing work with WinForms, WPF, and UWP applications?▼

UI automation testing works with WinForms, WPF, UWP, and Win32 workflows by applying UIA accessibility backends with a Win32 fallback. It drives controls and validates form inputs, navigation steps, and dialog workflows directly from the accessibility tree.

How do I validate expected text in desktop application QA testing?▼

Expected text in desktop application QA testing is validated using polling assertions like qa_wait_for_text_contains over UIA and Win32 accessibility backends. This method checks UI controls dynamically, avoiding arbitrary sleeps while confirming login forms and dialog text accurately.

Why do I need FastMCP and UFO tools for Windows desktop QA?▼

FastMCP and UFO tools are needed for Windows desktop QA to mount UICollector, HostUIExecutor, and AppUIExecutor into a single stdio MCP server. This composition provides helper tools for window discovery, control re-collection, and screenshot capture, enabling deterministic testing on the physical desktop.

Can I capture screenshots during automated Windows UI testing workflows?▼

Screenshots can be captured during automated Windows UI testing workflows using built-in QA helper tools. The agent captures screenshot baselines while driving UI controls and polling assertions, reporting PASS/FAIL outcomes with visual evidence for desktop UI validation.

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