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curiositech/windags-skills

设计网站首屏(英雄区)的专业技能:布局模式(分屏、居中、不对称、全出血)、导航栏设计、标题排版、CTA、背景处理(渐变、视频、粒子、3D)、滚动提示及首屏转化策略。

windags-skills 是什么?

该技能专注于网站首屏(英雄区)的设计,帮助开发者和设计师在2-4秒内有效传达品牌价值、产品功能,并引导用户执行转化。它支持多种布局模式(分屏、居中、不对称、全出血),并提供基于业务目标、用户类型和内容复杂度的决策树来选择合适的布局和CTA策略。技能覆盖了导航栏设计、标题排版、背景处理(包括渐变、视频、粒子、3D效果)、滚动提示等视觉元素,并强调首屏转化策略。此外,它还详细列举了常见的失败模式(如轮播混乱、CTA被折叠、价值主张不清晰等)及其解决方案,并提供了具体的SaaS产品案例。该技能适用于Cursor、Codex等AI Agent平台,但明确限定不用于全站架构、SEO策略或电商页面等场景。

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

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打开一个已预加载此 Agent Skill 的新对话。

文档

英雄区设计

设计用户访问网站时首先看到的屏幕——英雄区。你只有 2-4 秒的时间来传达你是谁、你做什么以及访客为什么要留下。折页线以上的每个像素都是一次转化决策。

决策点

布局模式决策树

首要目标是什么?
├── 品牌知名度/记忆度 → 全出血视觉英雄区
├── 产品清晰度/演示 → 分屏英雄区(左侧文案,右侧视觉)
├── 功能展示/对比 → 居中英雄区,下方功能网格
└── 权威性/可信度建立 → 编辑/不对称英雄区

是否有强大的产品视觉效果?
├── 是(应用截图、仪表盘、演示) → 分屏英雄区
└── 否(API、服务、抽象概念) → 居中英雄区

目标受众是谁?
├── 开发者/技术人员 → 居中、极简(Linear/Vercel 风格)
├── 企业/商业 → 分屏搭配专业视觉效果
├── 消费者/生活方式 → 全出血搭配生活方式图片
└── 创意/设计 → 编辑/不对称布局

内容复杂度?
├── 简单的价值主张(1 行) → 全出血或居中
├── 中等(标题 + 副标题) → 分屏或居中
└── 复杂(多个好处) → 分屏搭配结构化文案

CTA 策略决策树

商业模式是什么?
├── 免费增值/试用 → "免费开始" + "查看演示"
├── 销售驱动 → "联系销售" + "查看价格"
├── 直接购买 → "立即购买" + "了解更多"
└── 潜客生成 → "获取报价" + "案例研究"

用户意图级别?
├── 高意图(搜索品牌名) → 仅直接 CTA
├── 中意图(意识到问题) → 主要 + 次要 CTA
└── 低意图(发现阶段) → 软性 CTA + 聚焦价值的文案

失败模式

1. 轮播混乱

症状: 英雄区内容自动轮播,跳出率 >70% 诊断: 用户无法处理轮播信息,产生决策瘫痪 修复: 替换为单一最强信息;使用静态英雄区并搭配一个清晰的价值主张

2. CTA 被折叠

症状: 尽管流量高但转化率低;移动端 CTA 需要滚动才能看到 诊断: 主要操作在初始页面加载时不可见 修复: 降低英雄区高度或将 CTA 上移;确保在 375px 移动宽度下可见

3. 价值主张不清晰

症状: 跳出率高、互动时间短、用户反馈困惑 诊断: 标题描述了你是什么,而不是你为用户做什么 修复: 以成果/好处开头;使用“交付速度提升 10 倍”而不是“DevOps 平台”

4. 视觉层级混乱

症状: 用户错过关键信息,CTA 点击率低 (<2%) 诊断: 所有文本元素视觉权重相同;没有清晰的阅读顺序 修复: 将标题的字号调整为正文的 2-3 倍;使用颜色/权重引导视线

5. 性能瓶颈

症状: 移动端跳出率高;LCP 分数缓慢 >3 秒 诊断: 过大的英雄区资源阻塞了关键渲染路径 修复: 优化图片(WebP/AVIF)、延迟加载非关键资源、预加载英雄区图片

实际操作示例

示例:SaaS 产品英雄区(分屏布局)

场景: 为面向开发者团队的代码审查工具构建英雄区

第 1 步:布局决策

  • 目标:产品演示 ✓
  • 强大的视觉效果:是(代码差异截图) ✓
  • 受众:开发者 ✓
  • 决策:分屏英雄区并搭配产品视觉效果

第 2 步:文案策略

标题:“充满信心地更快交付代码”(聚焦成果)
副标题:“自动代码审查,在用户之前捕获错误”(具体好处)
主要 CTA:“开始免费试用”(免费增值模式)
次要 CTA:“查看工作方式”(面向犹豫用户的演示)

第 3 步:视觉处理

  • 左侧:文案 + CTA(40% 宽度)
  • 右侧:动画代码差异演示(60% 宽度)
  • 背景:微妙的点阵图案,营造开发者美学

第 4 步:移动端适配

  • 堆叠:上方文案,下方视觉效果
  • 标题从 3rem 缩放至 2.25rem
  • CTA 按钮垂直堆叠,间距 1rem

专家 vs 新手:

  • 新手:使用通用的“了解更多”CTA
  • 专家:使用“查看工作方式”(暗示视觉演示)
  • 新手:标题“面向团队的代码审查工具”
  • 专家:标题“充满信心地更快交付代码”(用户成果)

质量检查清单

  • 主要 CTA 在 375px 移动宽度下无需滚动即可见
  • 标题在 10 个词内传达价值主张
  • 英雄区 LCP 加载时间 ≤2.5 秒(在限速条件下测试)
  • 文本对比度 ≥4.5:1,适用于任何背景
  • 移动布局整洁堆叠,无水平滚动
  • 存在社交证明元素(标志、指标或用户评价)
  • 单一清晰信息(无轮播内容或多个价值主张)
  • CTA 点击率 ≥2%(一周后测量)
  • 尊重 prefers-reduced-motion 设置
  • 英雄区图片使用适当的加载优先级(eager/high)

非适用边界

请勿将此技能用于:

  • 完整网站架构 → 使用 web-design-expert
  • SEO 内容策略 → 使用 seo-visibility-expert
  • 博客文章布局 → 使用 web-design-expert
  • 电商产品页面 → 使用 ecommerce-conversion-expert
  • 多步骤引导流程 → 使用 user-experience-expert
  • 品牌标识/标志设计 → 使用 brand-design-expert

以下情况应委派:

  • 客户需要整个网站重新设计 → web-design-expert
  • 重点是搜索排名优化 → seo-visibility-expert
  • 英雄区是复杂用户旅程的一部分 → 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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