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🎨 AI UI De-Templater
Replace generic AI-interface patterns with product-specific visual rules and a bounded implementation plan that preserves working behavior.
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You say
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
Your agent does
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.
What you get
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
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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