프리미엄 UI/UX 디자인 감사 및 개선 스킬입니다. 기존 앱의 체계적인 시각적 감사를 수행하고 단계별로 구현 가능한 디자인 계획을 제공합니다.
bencium/design-audit은 기존 앱이나 인터페이스의 시각적 디자인을 체계적으로 감사하고 개선하는 프리미엄 UI/UX 디자인 스킬입니다. 사용자가 '디자인 리뷰', 'UI 개선', '더 프로페셔널하게 만들기' 등의 요청을 할 때 자동으로 트리거됩니다. 이 스킬은 시각적 요소(타이포그래피, 색상, 간격, 레이어, 시각적 계층 구조 등)에만 집중하며, 앱의 기능, 로직, 또는 비즈니스 로직은 전혀 건드리지 않습니다. 감사 결과를 바탕으로 단계별(Phase) 실행 가능한 디자인 개선 계획을 생성하며, Claude Code, Cursor, Codex 등 주요 AI 코딩 에이전트에서 동작합니다. 디자인 일관성을 검토하고, 시각적 계층 구조를 개선하며, 전반적으로 더 세련되고 전문적인 느낌을 제공하는 것을 목표로 합니다.
npx skills add https://github.com/bencium/bencium-marketplace/tree/main/skills/design-auditInstalled? Explore more 이미지 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
프리미엄 UI/UX 디자인 감사 및 개선 스킬입니다. 기존 앱의 체계적인 시각적 감사를 수행하고 단계별로 구현 가능한 디자인 계획을 제공합니다. 이 스킬은 사용자가 UI 감사, 앱의 시각적 디자인 개선, 인터페이스를 더 세련되거나 프리미엄하게 만들기, 디자인 일관성 검토, 시각적 계층 구조 수정, 또는 간격/타이포그래피/색상 개선을 요청할 때마다 사용하세요. 또한 사용자가 "디자인 리뷰", "더 보기 좋게 만들어 줘", "UI 폴리싱", "시각적 개선", "디자인 패스", "디자인 감사"라고 말하거나 앱을 더 프로페셔널하게 만들고 싶다고 언급할 때도 트리거하세요. 이 스킬은 순수하게 시각적인 것만 다룹니다 — 기능, 로직, 또는 기능 자체에는 영향을 주지 않습니다. 기존의 것을 한 단계 끌어올립니다.
This repo contains 12 individual skills — each has its own dedicated page.
Use when detecting ambiguous user intent, hedging language, open-ended framing, personal context before requests, or when unsure whether user wants exploration vs direct answer. Applies to all conversations.
Design AI-first interfaces that build ongoing relationships through memory, trust evolution, and collaborative planning, not just isolated screen interactions
Generate AEO-optimized content (Answer Engine Optimization) for AI search visibility - ChatGPT, Claude, Gemini, AI Overviews. Use when optimizing websites for AI citations, creating FAQ schemas, evidence panels, or analyzing content for LLM extraction readiness.
Bence's code style, tech stack, and workflow conventions
Expert UI/UX design guidance for unique, accessible interfaces. Use for visual decisions, colors, typography, layouts. Always ask before making design decisions. Use this skill when the user asks to build web components, pages, or applications.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics. Based on Anthropic's Frontend Designer Skill
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Systematic architectural thinking for irreplaceable human capabilities - domain modeling, systems thinking, constraint navigation, and AI-aware problem decomposition. Use proactively when detecting architectural decisions, system design discussions, or multi-component planning.
A decision-support framework that evaluates systems, architectures, and strategies through the entropy (decay) vs negentropy (growth) lens, while surfacing tacit knowledge gaps. Use this skill whenever the user is making architecture decisions, evaluating system designs, reviewing technical approaches, choosing between options, auditing existing systems, or planning strategies. Also trigger when the user explicitly asks to "apply the negentropy lens", mentions "entropy", "negentropy", "tacit knowledge", "knowledge engine", or "flip the switch". Nudge activation when you detect the user is at a decision point — even if they haven't asked for this lens — by briefly noting the entropic/negentropic dimension before proceeding.
Software architecture and UI/UX principles for building genuinely new solutions, not derivative work. Use when designing features, architecting software, brainstorming apps, reviewing designs, or during strategy discussions. Focuses on first-principles thinking, simplicity where it matters, and creating rather than commenting.
Professional typography rules for UI design, web applications, software interfaces, and all screen-based text. Enforces timeless typographic correctness that LLMs consistently get wrong: proper quote marks, dashes, spacing, hierarchy, and layout. ENFORCEMENT MODE: When generating ANY HTML, CSS, React, JSX, or UI code containing visible text, auto-apply every rule in this skill silently — do not ask, do not explain, just produce correct typography. AUDIT MODE: When reviewing or improving existing interfaces or legacy code, flag violations and provide fixes. Trigger on: any HTML/CSS/React artifact creation, "build a landing page", "create a component", "design a UI", "fix the typography", "make this look professional", "review this layout", web design, presentation design, dashboard creation, document generation, or any task producing visible text for humans. Even if the user doesn't mention typography, apply these rules whenever generating UI output.
Reviews codebases, architectures, PRs, and technical plans for vanity engineering — code and systems built for the developer's ego, resume, or intellectual pleasure rather than delivering user or business value. Triggers on: "review this code", "is this over-engineered", "code review", "architecture review", "complexity audit", "vanity check", "is this necessary", "simplify this", "tech debt review", or any request to evaluate whether code or architecture is justified by actual requirements. Also trigger when the user shares a codebase and asks for feedback, when discussing framework/library choices, when reviewing PRs, or when someone is debating whether to refactor or rebuild. Nudge activation when you detect patterns of unnecessary abstraction, premature optimization, or resume-driven technology choices in code the user shares — even if they haven't asked for a vanity review.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.