codex

AI UI/UX Toolkit

Evidence-led UI/UX, accessibility, human-AI, research, and design-integrity skills.

0 on GitHubby AI UI/UX Toolkit contributorsv0.1.5MITupdated 17 days ago

Ships a Codex manifest but no marketplace file, so Codex can't add it by name yet. Add it to a local marketplace (.agents/plugins/marketplace.json).

Plugin ai-uiux-quality-toolkit in wedsamuel1230/ai-uiux-quality-toolkit. Commands read from the repo's manifest — 12 days ago.

What it installs

Skills (6)

  • a11y-audit

    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.

  • ai-ux-evaluation

    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.

  • deceptive-design-audit

    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.

  • human-ai-review

    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

  • uiux-master

    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.

  • ux-research

    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.

View source on GitHub

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