負熵透鏡 是做什麼的？
一個決策支援框架，透過熵（衰變）與負熵（成長）的視角評估系統、架構與策略，同時浮現內隱知識缺口。每當使用者在進行架構決策、評估系統設計、審查技術方案、選擇選項、審計現有系統或規劃策略時，請使用此技能。當使用者明確要求「應用負熵透鏡」、提及「熵」、「負熵」、「內隱知識」、「知識引擎」或「翻轉開關」時，也請觸發此技能。當你偵測到使用者處於決策點時——即使他們尚未要求這個視角——請透過簡短說明該決策的熵/負熵維度來促使此技能啟動，然後再繼續處理。
一個決策支援框架，透過熵（衰變）與負熵（成長）的視角評估系統、架構與策略，同時浮現內隱知識缺口。
bencium/negentropy-lens 是一個決策支援框架，旨在幫助開發者、架構師與策略制定者，從熵（Entropy，即系統衰減與混亂趨勢）與負熵（Negentropy，即系統成長、秩序與創造性發展）的二元對立視角，系統性地評估系統設計、架構選擇及技術方案。它不僅分析現有系統的熵增趨勢（如耦合度上升、技術債積累），更主動挖掘團隊中未被察覺的內隱知識（Tacit Knowledge）缺口，促使使用者將隱性假設轉化為顯性行動。該技能適用於 Claude Code、Cursor、Codex 等主流 AI 代理平台，並在用戶進行架構決策、技術選型、系統審計或策略規劃時自動觸發。使用者也可明確指令「應用負熵透鏡」或提及相關關鍵詞（如熵、負熵、內隱知識、知識引擎、翻轉開關）來啟用。即使使用者未明確要求，若 AI 代理偵測到決策點，仍會簡短提示當前決策的熵/負熵維度，從而提升決策品質與長期系統健康。
npx skills add https://github.com/bencium/bencium-marketplace/tree/main/skills/negentropy-lensInstalled? Explore more 寫作與編輯 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
一個決策支援框架，透過熵（衰變）與負熵（成長）的視角評估系統、架構與策略，同時浮現內隱知識缺口。每當使用者在進行架構決策、評估系統設計、審查技術方案、選擇選項、審計現有系統或規劃策略時，請使用此技能。當使用者明確要求「應用負熵透鏡」、提及「熵」、「負熵」、「內隱知識」、「知識引擎」或「翻轉開關」時，也請觸發此技能。當你偵測到使用者處於決策點時——即使他們尚未要求這個視角——請透過簡短說明該決策的熵/負熵維度來促使此技能啟動，然後再繼續處理。
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