wedsamuel1230/ai-uiux-quality-toolkit
Evidence-led UI/UX, accessibility, human-AI, research, and design-integrity skills.
Evaluate accessibility in web, Android, iOS, desktop, and cross-platform interfaces with the correct platform guidance and evidence. Use for accessibility reviews, implementation checks, assistive-technology testing, or remediation planning.
Design or interpret evaluations of AI product behavior across representative tasks, users, interface states, and releases. Use when measuring an assistant, agent, recommender, AI feature, or conversational interface beyond a one-off visual review.
Review websites and apps for manipulative or deceptive interface patterns that undermine informed user choice. Use for consent, privacy settings, subscriptions, cancellation, pricing, upsell, notification, account deletion, or high-pressure conversion flows.
Review generative AI, assistant, recommendation, or agent interfaces for uncertainty, user control, approvals, execution status, recovery, and data boundaries. Use when the product being reviewed contains AI output or actions that influence a user-visible outcome; an AI-assisted development process alone is not a trigger.
Coordinate AI UI/UX Toolkit requests and route interface design, implementation, or review to relevant skills. Use when the user invokes the toolkit or asks to build or evaluate a user-facing product flow, screen, design system, or interaction.
Plan, conduct, or synthesize user research from actual participant and product evidence. Use for interviews, usability studies, field observation, diary studies, surveys, card sorts, tree tests, or research findings.