Individual skill
ui-visual-composition
Use when creating, critiquing, or refining visual UI, including hierarchy, spacing, typography, color, depth, imagery, or visual states.
ui-visual-composition/SKILL.md
Source commit 2841c079dd8a9c634882227194dc42e25227710d
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- Yes
- Scanner rules are current
- Yes
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- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 24
- Repository last updated
- Aug 2, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- accessibility Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- ai-skills Repository topic
- claude-code Repository topic
- cursor Repository topic
- design-systems Repository topic
- frontend Repository topic
- opencode Repository topic
- ui-design Repository topic
- design Derived category
- design-interface Derived category
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SKILL.mdcore · 25,792 bytesSKILL.mdcore · 25,792 bytesreferences/anti-patterns.mddoc · 10,357 bytesreferences/checklists.mddoc · 10,967 bytesreferences/decision-prompts.mddoc · 13,744 bytesreferences/principle-cards.mddoc · 15,749 bytes
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# UI Visual Composition
## Purpose
Help an AI agent create and critique polished visual UI through hierarchy, spacing, typography, color, depth, imagery, and finishing details. Treat visual design as functional communication: the interface should help users understand what matters, what belongs together, what can be acted on, and what has changed.
This skill covers visual design quality, layout composition, typography, color systems, depth, imagery, polish, accessibility, and frontend implementation choices that affect visual quality. It does not cover deep UX research, information architecture strategy, or frontend architecture except where those concerns determine visual composition.
## When to use this skill
Use this skill when the user asks for UI critique, redesign, product-page improvement, frontend visual implementation, design-system guidance, style polish, layout refinement, typography, color palette, empty/error/loading state improvement, or visual QA of generated UI.
Also use it when producing frontend code for a visual interface, because component structure, semantic markup, tokens, state styling, responsive behavior, and accessibility details determine whether visual recommendations survive implementation.