엔트로피(붕괴) 대 네겐트로피(성장) 관점을 통해 시스템, 아키텍처, 전략을 평가하고 암묵적 지식 격차를 드러내는 의사결정 지원 프레임워크입니다.
이 스킬은 엔트로피(무질서·붕괴)와 네겐트로피(질서·성장)의 개념을 활용하여 소프트웨어 시스템, 아키텍처, 전략적 결정을 분석하는 의사결정 지원 프레임워크입니다. 사용자가 아키텍처 결정, 시스템 설계 평가, 기술 접근법 검토, 옵션 선택, 기존 시스템 감사, 또는 전략 수립을 할 때 자동으로 활성화됩니다. 또한 사용자가 '네겐트로피 렌즈를 적용해줘', '엔트로피', '네겐트로피', '암묵적 지식', '지식 엔진', '스위치를 켜줘'와 같은 키워드를 언급할 때도 트리거됩니다. 더 나아가, 사용자가 명시적으로 요청하지 않더라도 결정 지점에 있다고 감지되면, 진행 전에 엔트로피/네겐트로피 차원을 간략히 언급하며 부드럽게 활성화합니다. 이 스킬은 Claude Code, Cursor, Codex 등 다양한 AI 에이전트 플랫폼에서 사용할 수 있으며, 특히 시스템의 장기적 건강성과 지식 관리의 중요성을 강조합니다.
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엔트로피(붕괴) 대 네겐트로피(성장) 관점을 통해 시스템, 아키텍처, 전략을 평가하면서 암묵적 지식 격차를 드러내는 의사결정 지원 프레임워크입니다. 사용자가 아키텍처 결정을 내리거나, 시스템 설계를 평가하거나, 기술적 접근법을 검토하거나, 여러 옵션 중에서 선택하거나, 기존 시스템을 감사하거나, 전략을 계획할 때 이 스킬을 사용하세요. 또한 사용자가 명시적으로 "네겐트로피 렌즈를 적용해줘"라고 요청하거나, "엔트로피", "네겐트로피", "암묵적 지식", "지식 엔진", 또는 "스위치를 켜줘"라는 말을 언급할 때도 트리거하세요. 사용자가 결정 지점에 있다고 감지되면 — 비록 그들이 이 렌즈를 요청하지 않았더라도 — 진행하기 전에 엔트로피/네겐트로피 차원을 간략히 언급하며 활성화를 유도하세요.
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.
Premium UI/UX design audit and refinement skill. Conducts systematic visual audits of existing apps and produces phased, implementation-ready design plans. Use this skill whenever the user asks to audit a UI, improve an app's visual design, make an interface feel more polished or premium, review design consistency, fix visual hierarchy, or refine spacing/typography/color. Also trigger when the user says "design review", "make it look better", "UI polish", "visual refinement", "design pass", "audit the design", or references making an app feel more professional. This skill is purely visual — it does not touch functionality, logic, or features. It elevates what exists.
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.
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.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors