--- name: chuinb description: > This skill transforms users into confident industry insiders through immersive, research-driven learning experiences. It should be used when users want to quickly master an unfamiliar industry, field, skill, or domain — whether for professional networking, investment decisions, career transitions, or pure curiosity. The skill combines Feynman Technique, First Principles thinking, and 80/20 analysis with deep web research to generate beautifully formatted, media-rich learning notes with interactive flashcards and quizzes. Triggers include: "help me understand [industry]", "I need to learn about [field] quickly", "make me an insider in [domain]", "行业速成", "快速掌握", "深度学习笔记", "/chuinb", "/master", or any request to rapidly acquire domain expertise. --- # Industry Mastery: 行业速成大师 > **Transform from outsider to insider in hours, not months.** This skill creates immersive, research-backed learning experiences that make users feel like industry veterans. It combines proven learning methodologies with real-time web research to deliver knowledge that sticks. ## Core Philosophy ### The Three Pillars ``` ┌─────────────────────────────────────────────────────────────────┐ │ INDUSTRY MASTERY │ ├─────────────────────────────────────────────────────────────────┤ │ │ │ 🧠 FEYNMAN TECHNIQUE ⚛️ FIRST PRINCIPLES │ │ "If you can't explain "Boil everything down │ │ it simply, you don't to fundamental truths, │ │ understand it well enough" then reason up from there" │ │ │ │ 📊 80/20 PARETO │ │ "20% of knowledge delivers │ │ 80% of practical value" │ │ │ └─────────────────────────────────────────────────────────────────┘ ``` --- ## ⚠️ CRITICAL: Execution Flow (MUST FOLLOW) ### Overview ``` ┌─────────────────────────────────────────────────────────────────┐ │ EXECUTION FLOW │ ├─────────────────────────────────────────────────────────────────┤ │ │ │ Phase 1: User Profiling ────────────────────────────────── │ │ Ask 3 questions about goal, background, time │ │ ↓ │ │ Phase 2: Deep Research ─────────────────────────────────── │ │ WebSearch + WebFetch for content │ │ ↓ │ │ Phase 3: Media Acquisition (MANDATORY) ─────────────────── │ │ Download images + videos + generate AI images │ │ ↓ │ │ Phase 4: Ask Save Path ─────────────────────────────────── │ │ Use AskUserQuestion to get save location │ │ ↓ │ │ Phase 5: Generate & Save ───────────────────────────────── │ │ Create markdown file with embedded media │ │ ↓ │ │ Phase 6: Interactive Follow-up ─────────────────────────── │ │ Offer deep dives, practice scenarios │ │ │ └─────────────────────────────────────────────────────────────────┘ ``` --- ## Phase 1: User Profiling (MANDATORY FIRST STEP) Before ANY research begins, gather user context through conversational questions: ``` ┌─────────────────────────────────────────────────────────────────┐ │ 🎯 USER PROFILING QUESTIONS │ ├─────────────────────────────────────────────────────────────────┤ │ │ │ 1. 「你的目标」What do you want to achieve? │ │ □ 社交谈资 (Casual conversation) │ │ □ 职业转型 (Career transition) │ │ □ 投资决策 (Investment decisions) │ │ □ 合作洽谈 (Business collaboration) │ │ □ 纯粹好奇 (Pure curiosity) │ │ │ │ 2. 「当前背景」What's your current profession/background? │ │ (This helps tailor analogies and explanations) │ │ │ │ 3. 「时间预算」How much time can you invest? │ │ □ 30分钟速览 (Quick overview) │ │ □ 2小时深入 (Deep dive) │ │ □ 持续学习 (Ongoing learning) │ │ │ └─────────────────────────────────────────────────────────────────┘ ``` **Present these questions conversationally, not as a form.** Adapt based on context clues in the user's initial request. --- ## Phase 2: Deep Research Execute comprehensive web research covering: 1. **Industry Fundamentals** - Core business models and value chains - Key players (companies, organizations) - Market size and growth trends 2. **Key Figures & Events** - Influential people (founders, thought leaders, critics) - Historical milestones and turning points - Recent news and developments 3. **Professional Vocabulary** - Industry jargon and acronyms - Insider phrases and expressions - Common misconceptions to avoid 4. **Real Cases & Stories** - Success stories with specific details - Notable failures and lessons learned - Current controversies or debates **Research Tools:** - Use `WebSearch` for current information, news, trends - Use `WebFetch` for detailed article content --- ## Phase 3: Media Acquisition (MANDATORY - DO NOT SKIP) ⚠️ **THIS PHASE IS REQUIRED FOR EVERY EXECUTION** 媒体素材是让学习笔记生动有力的关键。**必须**执行媒体获取流程，但数量和类型根据内容需要灵活调整。 ### 3.1 媒体获取原则 **核心原则：根据内容类型选择最合适的获取方式** ``` ┌─────────────────────────────────────────────────────────────────┐ │ 媒体获取决策树 │ ├─────────────────────────────────────────────────────────────────┤ │ │ │ 需要什么类型的图片？ │ │ │ │ │ ├─→ 事实性图片 ──→ 优先网络下载真实图片 │ │ │ • 人物照片（创始人、专家、名人） │ │ │ • 产品图片、公司 Logo │ │ │ • 剧照、海报、新闻配图 │ │ │ • 历史事件照片 │ │ │ • 实物图片（咖啡豆、芯片、汽车等） │ │ │ │ │ └─→ 概念性图片 ──→ 使用 AI 生成 │ │ • 价值链/生态系统图 │ │ • 流程图、关系图 │ │ • 抽象概念的视觉化 │ │ • 数据可视化、信息图 │ │ • 氛围图、风格示意图 │ │ │ └─────────────────────────────────────────────────────────────────┘ ``` ### 3.2 媒体数量指南（灵活调整） **不设硬性数量限制**，根据内容丰富度和主题特点决定： | 内容类型 | 建议媒体配置 | 说明 | |----------|-------------|------| | 人物密集型（如影评、商业领袖） | 3-5 张人物照片 + 1-2 个访谈视频 | 优先下载真实照片 | | 概念密集型（如金融、技术） | 2-4 张概念图 + 1-2 个解释视频 | 优先 AI 生成 | | 案例密集型（如商业分析） | 2-3 张案例图 + 1-2 张流程图 | 混合使用 | | 视觉艺术类（如电影、设计） | 4-6 张剧照/作品图 + 1-2 个片段 | 优先下载真实图片 | ### 3.3 图片获取策略 #### 策略 A：事实性图片 → 优先网络下载 **适用场景**： - 人物照片（创始人、CEO、专家、艺术家、导演、演员等） - 产品图片、公司 Logo、品牌视觉 - 电影剧照、海报、专辑封面 - 新闻事件配图、历史照片 - 实物图片（食物、设备、建筑等） **获取方式**： ```bash # 方式 1: 使用 media-downloader（需要 API Key） python ~/.claude/skills/media-downloader/media_cli.py image "关键词" -n 数量 -o 输出目录 # 方式 2: 通过 WebSearch 找到图片 URL，然后下载 # 搜索关键词示例： # "[人名] portrait photo" # "[公司名] logo high resolution" # "[电影名] movie poster" # "[产品名] product image" ``` **搜索关键词模板**： ``` 人物照片: "[姓名] portrait" / "[姓名] headshot" / "[姓名] photo" 公司Logo: "[公司名] logo png" / "[公司名] brand" 电影海报: "[电影名] movie poster" / "[电影名] official poster" 剧照: "[电影名] still" / "[电影名] scene" / "[电影名] screenshot" 产品图: "[产品名] product photo" / "[产品名] official image" ``` #### 策略 B：概念性图片 → 使用 AI 生成 **适用场景**： - 行业价值链、生态系统图 - 业务流程图、工作流程 - 抽象概念的视觉化表达 - 关系图、层级图 - 氛围图、风格示意图 - 找不到合适真实图片时的备选 **使用 zimage-skill 生成**： ```bash MODELSCOPE_API_KEY="your-key" python3 ~/.claude/skills/zimage-skill/generate.py "prompt" "output.jpg" ``` **Prompt 模板**： ``` # 流程图/价值链 "[主题] value chain diagram, minimalist infographic style, [color] color scheme, professional business design, clean flat design, white background" # 概念图 "[概念] concept visualization, modern illustration style, simple and clear, professional corporate design" # 氛围图 "[主题] aesthetic, cinematic atmosphere, [风格描述], professional photography style" # 生态系统图 "[行业] ecosystem diagram, showing key players and relationships, minimalist business infographic, clean design" ``` #### 策略 C：备选方案 当以上方式都失败时： - 提供外部链接：`[查看图片](url)` - 使用文字描述代替 - 使用 Mermaid 图表（适用于流程图） ### 3.4 视频获取策略 **使用 media-downloader 下载 YouTube 视频**： ```bash python ~/.claude/skills/media-downloader/media_cli.py youtube "URL" -o "输出目录" --end 120 ``` **视频类型与搜索关键词**： | 视频类型 | 搜索关键词模板 | 适用场景 | |----------|---------------|----------| | 解释性视频 | `"[概念] explained"`, `"how [X] works"` | 复杂概念讲解 | | 入门视频 | `"[行业] 101"`, `"[行业] for beginners"` | 行业入门 | | 人物访谈 | `"[人名] interview"`, `"[人名] talk"` | 人物介绍 | | TED 演讲 | `"[主题] TED talk"` | 思想启发 | | 纪录片片段 | `"[主题] documentary"` | 深度内容 | | 新闻报道 | `"[事件] news report"` | 时事案例 | **视频要求**： - 时长：根据内容价值灵活裁剪（建议 60-180 秒） - 内容：与主题直接相关 - 质量：至少 720p ### 3.5 媒体文件命名规范 ``` 人物照片: person-[姓名拼音或英文].jpg 概念图: diagram-[描述].jpg 剧照/海报: poster-[作品名].jpg / still-[作品名].jpg 案例图: case-[案例名].jpg 产品图: product-[产品名].jpg 视频: video-[主题].mp4 ``` ### 3.6 媒体嵌入格式 (Obsidian) ```markdown 图片: ![[media/filename.jpg]] 视频: ![[media/filename.mp4]] 带说明: ![[media/filename.jpg|这是图片说明]] ``` ### 3.7 媒体获取检查清单 在完成媒体获取后，确认： - [ ] 所有提到的关键人物都有对应图片（真实照片优先） - [ ] 核心概念有视觉化表达（AI 生成或真实图片） - [ ] 至少有 1 个相关视频片段 - [ ] 图片和视频数量与内容丰富度匹配 - [ ] 所有媒体文件已下载到本地 media 文件夹 - [ ] 文件命名清晰规范 --- ## Phase 4: Ask Save Path (MANDATORY) ⚠️ **在生成内容之前，必须询问用户保存路径** 使用 `AskUserQuestion` 工具询问用户： ``` 问题: "请告诉我你想把学习笔记保存到哪里？" 选项: 1. 当前目录 (Current directory) 2. 桌面 (Desktop) 3. 自定义路径 (Custom path) ``` **如果用户选择自定义路径**: - 等待用户输入完整路径 - 验证路径是否存在，不存在则创建 **默认文件结构**: ``` [用户指定路径]/ ├── [主题]速成指南.md # 主文档 └── media/ # 媒体文件夹 ├── diagram-*.jpg ├── person-*.jpg ├── case-*.jpg └── video-*.mp4 ``` --- ## Phase 5: Content Generation & Save ### 5.1 Output Structure Template ```markdown # [Industry/Field Name] 行业速成指南 > 🎯 **你的学习目标**: [Personalized based on user profile] > ⏱️ **预计阅读时间**: X 分钟 > 📅 **生成日期**: YYYY-MM-DD --- ## 一句话看懂这个行业 [Feynman-style explanation in ONE sentence that a 12-year-old could understand] --- ## 第一性原理：行业的本质 [Break down to fundamental truths. What problem does this industry solve? Why does it exist?] ![[media/diagram-value-chain.jpg]] *行业价值链图解* ### 核心价值链 [Visual diagram or clear explanation of how value flows] ### 关键驱动因素 [What makes this industry tick? 3-5 key factors] --- ## 行话速成：像内行人一样说话 | 术语 | 含义 | 使用场景 | |------|------|----------| | Term 1 | Meaning | When to use | | Term 2 | Meaning | When to use | | ... | ... | ... | ### 常用表达 - "[Insider phrase 1]" — 意思是... - "[Insider phrase 2]" — 用于... ### 新手常犯的错误 - ❌ 不要说"..." → ✅ 应该说"..." --- ## 必知人物 ### [Name 1] — [Title/Role] > "[Famous quote]" [Brief bio and why they matter] ### [Name 2] — [Title/Role] ... --- ## 经典案例 ### 案例一：[Success/Failure Story Title] **背景**: ... **过程**: ... **结果**: ... **启示**: [Key takeaway in user's professional context] ![[media/case-example.jpg]] --- ## 精选视频片段 ### [Video Title] ![[media/video-explanation.mp4]] > 📌 **关键点**: [1-2 sentence summary of why this matters] --- ## 闪念卡片 (Flashcards)
🔮 点击展开卡片 1 **Q: [Question]** --- **A: [Answer]**
[Generate 5-10 flashcards covering key concepts] --- ## 自测问答 ### 问题 1 [Scenario-based question]
💡 查看答案 [Answer with explanation]
[Generate 3-5 quiz questions] --- ## 行动清单 基于你的目标「[user goal]」，建议的下一步： - [ ] [Actionable item 1] - [ ] [Actionable item 2] - [ ] [Actionable item 3] --- ## 延伸阅读 - [Resource 1](url) — 推荐理由 - [Resource 2](url) — 推荐理由 --- > 💡 **学习小贴士**: [Personalized tip based on user's background] ``` ### 5.2 Save Files 1. 创建 media 文件夹 2. 将所有媒体文件保存到 media 文件夹 3. 保存主 markdown 文件 --- ## Phase 6: Interactive Elements After delivering the main note, offer interactive follow-ups: 1. **Deep Dive Options** - "想深入了解 [specific topic] 吗？" - "需要更多 [cases/videos/terminology] 吗？" 2. **Practice Scenarios** - "假设你在 [场景]，对方问你 [问题]，你会怎么回答？" - Provide feedback on user's responses 3. **Knowledge Checks** - Generate additional flashcards on demand - Create scenario-based quizzes 4. **Connection Building** - "这和你的 [user's profession] 有什么关联？" - Help user find bridges between new knowledge and existing expertise --- ## Content Guidelines ### Writing Style - **Conversational yet professional** — Like a knowledgeable friend explaining things - **Rich in analogies** — Connect new concepts to familiar ones (based on user's background) - **Concrete over abstract** — Always include specific examples, numbers, names - **Visual thinking** — Use diagrams, tables, and formatting liberally ### Personalization Markers Throughout the note, include personalized elements: - `「结合你的[background]来理解」` — Bridge to user's expertise - `「对于[goal]来说，关键是...」` — Goal-oriented framing - `「这就像你熟悉的[analogy from user's field]」` — Familiar analogies --- ## Quality Checklist Before delivering the note, verify: - [ ] User profile questions were asked and answers incorporated - [ ] At least 5 web searches performed for current information - [ ] Minimum 3 real cases with specific details - [ ] 10+ industry terms explained - [ ] 2+ key figures profiled - [ ] 5+ flashcards generated - [ ] 3+ quiz questions created - [ ] **媒体获取完成**： - [ ] 事实性图片（人物、剧照等）优先从网络下载真实图片 - [ ] 概念性图片（流程图、价值链）使用 AI 生成 - [ ] 图片数量与内容丰富度匹配（不设硬性限制） - [ ] 至少 1 个相关视频片段 - [ ] **User was asked for save path before saving** - [ ] **Markdown file saved with embedded media** - [ ] Personalization markers present throughout - [ ] Actionable next steps provided --- ## Tool Integration ### Required Tools | Tool | Purpose | When to Use | |------|---------|-------------| | `WebSearch` | 搜索行业信息 | 每次必用 | | `WebFetch` | 获取网页详细内容 | 每次必用 | | `zimage-skill` | 生成概念图 | 概念性图片（流程图、价值链等） | | `media-downloader` | 下载图片和视频 | 事实性图片 + YouTube 视频 | | `AskUserQuestion` | 询问保存路径 | 保存前必用 | ### zimage-skill (AI 图片生成) **功能**: 使用 AI 生成概念图、流程图等 **使用方式**: ```bash MODELSCOPE_API_KEY="your-key" python3 ~/.claude/skills/zimage-skill/generate.py "prompt" "output.jpg" ``` **Prompt 最佳实践**: ``` "[主题] diagram/infographic, minimalist style, [color] color scheme, professional design, clean flat design, white background" ``` ### media-downloader (媒体下载器) **功能**: 下载 YouTube 视频并裁剪 **使用方式**: ```bash # 下载并裁剪视频 python ~/.claude/skills/media-downloader/media_cli.py youtube "URL" -o "目录" --end 120 # 检查配置状态 python ~/.claude/skills/media-downloader/media_cli.py status ``` --- ## Example Triggers - "帮我快速了解私募股权行业" - "I need to understand the semiconductor industry by next week" - "想成为咖啡行业的内行人" - "Help me master the basics of venture capital" - "下周要和动漫行业的人聊天，帮我速成" - "/chuinb blockchain" - "/master contemporary art" --- ## Troubleshooting ### zimage-skill 报错 "API Key required" 需要设置环境变量： ```bash export MODELSCOPE_API_KEY="your-api-key" ``` 获取 API Key: https://modelscope.cn/my/myaccesstoken ### media-downloader 图片下载失败 需要配置图库 API Key： ```bash export PEXELS_API_KEY="your-key" export PIXABAY_API_KEY="your-key" ``` **备选方案**: 使用 zimage-skill 生成图片代替下载 ### YouTube 视频下载失败 确保已安装 yt-dlp： ```bash pip install yt-dlp ```