Design, refine, or review web and iOS interfaces using the product’s existing components and visual style. Consult relevant screen examples when useful, then inspect the result for layout problems, inaccessible controls, and broken interactions.
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Stop coding agents from shipping generic UI. Use UIZZE's 800,000+ real web and iOS screens to build product-specific interfaces, define a design contract, cover required states, and run a hard finish gate. Use when designing, implementing, redesigning, critiquing, or pre-ship reviewing a web or iOS interface in Codex, Claude Code, Cursor, Copilot, or another coding agent. Trigger with "anti-ui-slop", "stop UI slop", "ground this UI in real screens", or "run the UI finish gate".
安装前可以查看交给 AI 代理的指令内容。
Stop AI coding agents from shipping generic UI.
Build product-specific UI with 800,000+ real web and iOS screens via UIZZE.
Stop Making UI Slop with UIZZE
Use the product brief, existing UI, components, and local design system to make intentional interfaces. Uizze supplies focused design guidance and, when useful, a small number of relevant visual references.
Read the brief, existing UI, components, tokens, and constraints before designing. They always outrank this skill. Keep familiar interaction conventions and make the product's own objects, workflow, and priorities visually clear. Do not add novelty for its own sake.
Choose at most one file for the current request:
reference/new-work.mdreference/operate.mdreference/polish.mdreference/distill.mdreference/audit.mdreference/ios.mdDo not load a second playbook. Apply judgment rather than treating its examples as a checklist.
Read references/uizze-reference-policy.md before using the paid MCP. It exposes exactly find_ui_references and find_ui_materials. Use them only when a concrete unresolved visual or material question would benefit from evidence. If they return nothing, continue silently.
Complete the requested scope. When the environment supports it, render and inspect once. Fix observable breakage such as clipping, overlap, distorted media, inaccessible controls, or inert interactions. Keep the handoff concise.
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Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.
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Assess a repository’s readiness for AI agents with AgentRC and generate a standalone HTML dashboard. Review scores across nine areas, see prioritized improvements, and optionally apply scoring policies tailored to an organization.
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Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.
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Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.
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Analyze supplied ad performance data to identify wasted spend, strong campaigns, and next tests. Compare channels, assess whether test differences are meaningful, and produce budget reallocation recommendations with a prioritized action plan.
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Turn code files into learning resources by adding comments that explain syntax, programming concepts, and design choices. Adjust explanation depth and repetition to the reader’s knowledge while preserving file structure, encoding, and syntax.
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