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- Windows Automation Pre-Flight Check
Works with the AI Agents you already use
Windows Automation Pre-Flight Check
Prevent flaky Windows automation by enforcing robust UI identity, conditional waits, and safety guards.
Free
Windows Automation Pre-Flight Check
Example session with this skill installed
I need a Python script to open our inventory app, click the refresh button, and save the CSV report to the desktop.
- Read your context and instructions
- Compiled the windows automation pre-flight
WINDOWS AUTOMATION PRE-FLIGHT
Target: Inventory Manager (Local)
Locate by: Refresh (Button, auto_id: "btnRefresh"), Save (Button, name: "Export CSV")
Waits: Wait until "btnRefresh" is enabled; wait for Save Dialog (max 20s)
Safety: Verify window focus; check if file exists before saving.
Connects securely to your tools. The creator never sees your data.
About this skill
Stop Shipping Flaky Desktop Scripts
Automating Windows applications is notoriously fragile. Most agents default to brittle pixel-clicking, fixed sleep timers, and "blind" keystrokes that break if a window moves or a network lags. This skill installs a mandatory pre-flight safety gate for your AI agent, ensuring it designs robust, production-grade automation before it ever writes a line of code.
What it does
When you ask your agent to automate a desktop app, this skill intercepts the request to generate a structured strategy. It forces the agent to identify controls using accessibility trees (UI Automation) rather than screen coordinates, define condition-based wait states instead of time.sleep(), and implement window-focus guards to prevent typing into the wrong application.
Why use this skill?
- Fail-Safe Design: Automatically includes abort hotkeys and "no-clobber" checks for destructive actions like file overwrites.
- Environment Awareness: Differentiates between local apps and Remote Desktop/Citrix environments, adjusting the strategy from UIA to Image Match/OCR where necessary.
- Observability: Ensures every script includes error logging and automated screenshots for easy debugging of GUI failures.
- Better than Prompting: Prevents the common "AI hallucinations" regarding window titles and control IDs by mandating path discovery via
print_control_identifiers()or Inspect.exe.
- Does not replace UI inspection tools like Inspect.exe.
- Not for web-only or API-based automation.
- Requires user to provide actual control IDs or titles.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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