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curiositech/windags-skills

設計訪客第一眼看到的網頁——英雄區塊。涵蓋佈局模式(分割、置中、不對稱、滿版)、導覽列設計、標題排版、CTA、背景處理(漸層、影片、粒子、3D)、滾動提示以及首屏轉換策略。

windags-skills 是什麼?

這個技能專注於設計網站上的英雄區塊——也就是使用者進入頁面時第一個看到的區域。它能引導你根據目標(品牌認知、產品展示、功能比較或權威建立)選擇最合適的佈局模式,並針對不同受眾(開發者、企業、消費者或創意人士)調整設計。技能還提供了詳細的CTA策略決策樹,幫助你根據商業模式和用戶意圖優化轉換率。它支援常見的平台和框架,例如 React、Vue.js、Tailwind CSS 和 Framer Motion,並強調效能最佳化(如 LCP ≤2.5 秒)與無障礙設計(如 prefers-reduced-motion)。透過實際範例(例如為程式碼審查工具設計分割式英雄區塊),它清楚展示了從佈局決策到文案撰寫、視覺處理及行動版適配的完整流程,並列出了10項品質檢查點,確保英雄區塊能有效傳遞價值主張並驅動轉換。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/hero-section-design

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

英雄區塊設計

設計使用者進入網站時看到的第一個畫面——英雄區塊。你只有2到4秒的時間來傳達:你是誰、你做什麼、以及訪客為什麼要留下來。首屏的每一個像素都是一個轉換決策。

決策要點

佈局模式決策樹

首要目標是什麼?
├── 品牌認知/記憶性 → 滿版視覺英雄區塊
├── 產品清晰度/展示 → 分割英雄區塊(左側文案,右側視覺)
├── 功能展示/比較 → 置中英雄區塊,下方搭配功能網格
└── 權威/信譽建立 → 編輯/不對稱英雄區塊

是否有強烈的產品視覺?
├── 是(應用程式截圖、儀表板、展示影片) → 分割英雄區塊
└── 否(API、服務、抽象概念) → 置中英雄區塊

目標受眾為何?
├── 開發者/技術人員 → 置中、極簡(Linear/Vercel風格)
├── 企業/公司 → 分割搭配專業視覺
├── 消費者/生活風格 → 滿版搭配生活化圖像
└── 創意/設計人士 → 編輯/不對稱佈局

內容複雜度為何?
├── 簡單價值主張(一行) → 滿版或置中
├── 中等(標題 + 副標題) → 分割或置中
└── 複雜(多項優點) → 分割搭配結構化文案

CTA策略決策樹

商業模式為何?
├── 免費增值/試用 → 「免費開始」+「查看展示」
├── 銷售導向 → 「諮詢銷售」+「查看定價」
├── 直接購買 → 「立即購買」+「了解更多」
└── 潛在客戶開發 → 「取得報價」+「成功案例」

使用者意圖程度如何?
├── 高意圖(搜尋品牌名稱) → 僅提供直接CTA
├── 中意圖(察覺到問題) → 主要CTA + 次要CTA
└── 低意圖(探索階段) → 軟性CTA + 價值導向文案

常見失敗模式

1. 輪播混淆

症狀: 英雄區塊內容自動輪播,跳出率 >70% 診斷: 使用者無法處理不斷變換的訊息,導致決策癱瘓 解決方案: 替換為單一最強訊息;使用靜態英雄區塊,搭配一個清晰的價值主張

2. CTA位於摺疊線下方

症狀: 流量高但轉換率低;行動版CTA需要捲動才能看到 診斷: 初始頁面載入時,主要動作按鈕不可見 解決方案: 降低英雄區塊高度或將CTA上移;確保在375px行動版寬度下CTA可見

3. 價值主張不明確

症狀: 跳出率高、互動時間短、使用者回饋困惑 診斷: 標題描述的是「你是什麼」,而不是「你能為使用者做什麼」 解決方案: 以成果/效益為開頭;「提升10倍出貨速度」而不是「DevOps平台」

4. 視覺層次不佳

症狀: 使用者錯過關鍵資訊,CTA點擊率低(<2%) 診斷: 所有文字元素視覺權重相同;沒有明確的閱讀順序 解決方案: 標題字級為內文的2-3倍;使用顏色和字重引導視線

5. 效能瓶頸

症狀: 行動版跳出率高;LCP得分 >3秒 診斷: 英雄區塊過大的資源阻礙了關鍵渲染路徑 解決方案: 優化圖片(WebP/AVIF),非關鍵資源延遲載入,預載英雄區塊圖片

實際範例

範例:SaaS產品英雄區塊(分割佈局)

情境: 為一款針對開發團隊的程式碼審查工具設計英雄區塊

第一步:佈局決策

  • 目標:產品展示 ✓
  • 強烈視覺:是(程式碼差異截圖) ✓
  • 受眾:開發者 ✓
  • 決策:分割式英雄區塊搭配產品視覺

第二步:文案策略

標題:「充滿信心地更快出貨程式碼」(成果導向)
副標題: 「自動化程式碼審查,在使用者發現之前就捕捉錯誤」(具體效益)
主要CTA: 「免費開始試用」(免費增值模式)
次要CTA: 「查看運作方式」(為猶豫不決的使用者提供展示)

第三步:視覺處理

  • 左側:文案 + CTA(40%寬度)
  • 右側:動態程式碼差異展示(60%寬度)
  • 背景:微妙的點狀圖案,符合開發者美學

第四步:行動版適配

  • 堆疊順序:上方文案,下方視覺
  • 標題從3rem縮小到2.25rem
  • CTA按鈕垂直堆疊,間距1rem

專家 vs 新手:

  • 新手:使用通用的「了解更多」CTA
  • 專家:使用「查看運作方式」(暗示視覺展示)
  • 新手:標題「團隊適用的程式碼審查工具」
  • 專家:標題「充滿信心地更快出貨程式碼」(使用者成果)

品質檢查點

  • 主要CTA在375px行動版寬度下不需捲動即可看到
  • 標題在10個字以內傳達價值主張
  • 英雄區塊LCP ≤2.5秒(使用節流測試)
  • 文字對比度 ≥4.5:1(與任何背景相比)
  • 行動版佈局整齊堆疊,無水平捲動
  • 包含社會證明元素(標誌、指標或見證)
  • 單一清晰訊息(無旋轉內容或多個價值主張)
  • CTA點擊率 ≥2%(一週後測量)
  • 尊重 prefers-reduced-motion 動畫設定
  • 英雄區塊圖片使用適當的載入優先級(eager/high)

不適用範圍

請勿使用此技能處理:

  • 完整網站架構 → 請使用 web-design-expert
  • SEO內容策略 → 請使用 seo-visibility-expert
  • 部落格文章佈局 → 請使用 web-design-expert
  • 電子商務產品頁面 → 請使用 ecommerce-conversion-expert
  • 多步驟引導流程 → 請使用 user-experience-expert
  • 品牌識別/標誌設計 → 請使用 brand-design-expert

下列情況請改為委派:

  • 客戶需要完整網站重新設計 → web-design-expert
  • 重點在於搜尋排名最佳化 → seo-visibility-expert
  • 英雄區塊為複雜使用者旅程的一部分 → user-experience-expert

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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