Manual usability testing is slow, expensive, and easy to skip when a deadline looms. The /tool-ux-study skill spawns a coordinated team of AI tester agents that each log in as a different persona, test the application under different themes and viewports, and report back — while a lead agent acts as UX research facilitator, observing sessions, probing for clarity, and synthesizing findings into a research-grade report.

AI models are trained on billions of lines of "everyone's" code good and bad code, generic best practice, the Stack Overflow answer, the textbook approaches. But your project might not be that generic; why else did you otherwise create it?