Automate Y3 UI testing with deterministic control detection and click actions.
npx skills add https://github.com/WindXRan/y3td --skill y3-auto-test-windxran
Please help me install this Agent Skill. Skill: y3-auto-test Source: https://github.com/WindXRan/y3td/tree/main/maps/EntryMap/.y3maker/skills/y3-auto-test Command: npx skills add https://github.com/WindXRan/y3td --skill y3-auto-test-windxran
This skill removes the need for manual, error-prone UI clicking during Y3 regression testing by automatically locating UI controls and triggering clicks via MCP toolchains.
Use the y3-auto-test skill to run an automated plan that clicks the target Y3 UI control(s) by control path and validates outcomes without manual mouse operation.
High-intent search queries and answers about installing and using this skill.
Automate Y3 UI regression testing by using MCP toolchains to locate UI controls and trigger click actions. This removes manual mouse operations by executing multi-step automated test plans that interact with UI buttons directly through deterministic control detection.
MCP desktop automation handles UI control path detection by preferring the y3runtime trigger_ui_touch_event_by_path function for runtime event triggering. It falls back to y3-helper get_ui_center_in_windows combined with desktop-automation bot_click for coordinate-based clicking.
Yes, you need npm to install the required @cool-mcp/desktop-automation dependency for running automated UI test plans. The workflow verifies the Y3 game is running, obtains UI canvas control paths, and then performs reliable click actions.
MCP safety and auto-test execution rules are loaded before executing multi-step automated click actions. These rules govern the automation workflow by respecting configured timeouts and enforcing failure-stop behavior to prevent uncontrolled UI interactions.
Y3 UI automation falls back to coordinate-based desktop clicking using bot_click when the preferred runtime event triggering via trigger_ui_touch_event_by_path fails. This ensures click actions still execute reliably by obtaining UI centers through get_ui_center_in_windows.
The best way to execute deterministic UI button activation during Y3 regression workflows is through MCP-rule guarded execution. This approach automatically locates target panels and controls using UI paths, validating outcomes without manual mouse operation.
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