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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    🎨 AI UI De-Templater

    2

    Replace generic AI-interface patterns with product-specific visual rules and a bounded implementation plan that preserves working behavior.

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    🎨 AI UI De-Templater

    🎨 AI UI De-Templater

    Example session with this skill installed

    Product: incident-response dashboard for small operations teams
    Current state: dark gradient hero, four equal glass cards, purple accents, oversized rounded controls
    Keep: route structure, data tables, logo, and current feature set
    Goal: feel calm, operational, and evidence-led rather than like a generic AI SaaS template

    • Read your context and instructions
    • Compiled the ai ui de-templater
    • Generated the UI component

    Diagnosis: equal card weight and decorative gradients hide incident priority; oversized radii make dense operational controls feel promotional.
    Rules: use one severity accent at a time, reduce radius on data surfaces, tighten table density, reserve the largest type for the active incident, and replace decorative copy with observable status language.
    Patch order: tokens, incident summary, severity states, then secondary cards.
    Proof: capture the same incident fixture at 1440px and 375px before and after.

    ai-ui-de-templater.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Diagnose why an AI-built interface looks interchangeable with other template productsReplace decorative gradients, equal-weight cards, and excessive radii with product-specific rulesTranslate a product promise into bounded token and component changesCreate a comparable review board using the same route, state, content, and viewport

    About this skill

    AI UI De-Templater diagnoses why a functional interface still looks interchangeable with other AI-built products. Supply screenshots or source, the product audience and promise, relevant brand references, and constraints that must remain unchanged. It identifies repeated typography, spacing, color, radius, shadow, icon, density, hierarchy, copy, and layout patterns, then ties each recommended change to the product's actual job. The output includes a generic-pattern diagnosis, a small set of product-specific visual rules, token and component changes, a prioritized patch or patch plan, and a before-and-after comparison board. It avoids novelty for novelty's sake, preserves working behavior and information architecture, and keeps source changes behind approval.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Download the ZIP

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      Unzip into your skills folder

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      Ask your agent to use it

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