analyzer

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Original

English
🇨🇳

Translation

Chinese

Content Analyzer Skill

Content Analyzer 技能

Any content → structured analysis report with actionable insights
任意内容 → 包含可落地洞察的结构化分析报告

Trigger

触发条件

When user sends content (URL, text, or transcript) with analysis intent:
  • /analyze [URL]
  • "Analyze this article"
  • "What are the key takeaways?"
  • Auto-triggered after video/podcast transcription (from video skill)
当用户发送带有分析意图的内容(URL、文本或文字稿)时触发:
  • /analyze [URL]
  • "帮我分析这篇文章"
  • "核心要点有哪些?"
  • 视频/播客转文字完成后自动触发(来自视频技能)

Pipeline

处理流程

Step 1: Get Content

步骤1:获取内容

Choose tool based on input type:
InputTool
Tweet URL
fetch_tweet
or Jina Reader
Web URL
WebFetch
or Jina Reader
Local fileRead file directly
Transcript from video skillUse directly
根据输入类型选择对应工具:
输入类型工具
Tweet URL
fetch_tweet
或 Jina Reader
网页URL
WebFetch
或 Jina Reader
本地文件直接读取文件
来自视频技能的文字稿直接使用

Step 2: Multi-Dimensional Analysis

步骤2:多维度分析

Scan content across these dimensions. Only output dimensions with actual content — skip empty ones.
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从以下维度扫描内容,仅输出有实际内容的维度,跳过空维度:
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📖 Summary

📖 总结

[1-3 sentence core thesis]
Source: [author/publisher] · [date] Type: [tweet/article/video/podcast/report]

[1-3句话说明核心主旨]
来源: [作者/发布方] · [日期] 类型: [推文/文章/视频/播客/报告]

💡 Key Insights

💡 核心洞察

🎯 Core Arguments

🎯 核心论点

  • Thesis: [Main argument or finding]
  • Evidence: [Supporting data or reasoning]
  • Strength: [How convincing? What's missing?]
  • 论点: [核心主张或发现]
  • 论据: [支撑的数据或论证逻辑]
  • 说服力: [可信度如何?存在哪些缺失?]

🤖 Tools & Methods

🤖 工具与方法

  • What: [Tools, frameworks, or techniques mentioned]
  • How: [How they're used or applied]
  • Relevance: [Could you use this?]
  • 内容: [提到的工具、框架或技术]
  • 用法: [它们的使用或应用方式]
  • 相关性: [你是否可以使用?]

⚙️ Workflow Ideas

⚙️ 工作流思路

  • Optimization: [Process improvements mentioned]
  • Automation: [What could be automated]
  • Integration: [How to fit into existing workflow]
  • 优化: [提到的流程改进点]
  • 自动化: [哪些环节可以自动化]
  • 集成: [如何适配现有工作流]

📊 Data & Numbers

📊 数据与指标

  • Key metrics: [Important numbers mentioned]
  • Trends: [Patterns in the data]
  • Gaps: [What data is missing]
  • 核心指标: [提到的重要数字]
  • 趋势: [数据中呈现的规律]
  • 缺口: [缺失哪些数据]

⚠️ Risks & Warnings

⚠️ 风险与警告

  • Pitfalls: [Explicitly mentioned risks]
  • Blind spots: [What the author might be missing]
  • Counter-arguments: [Alternative perspectives]
  • 陷阱: [明确提到的风险]
  • 盲点: [作者可能忽略的内容]
  • 对立观点: [其他不同视角]

🔗 Resources

🔗 资源

  • Tools/APIs: [Mentioned tools or data sources]
  • People: [Worth following or referencing]
  • Further reading: [Related content]
  • 工具/API: [提到的工具或数据源]
  • 人物: [值得关注或参考的对象]
  • 延伸阅读: [相关内容]

🧠 Mental Model Shifts

🧠 思维模式转变

  • Before: [Common assumption]
  • After: [New understanding from this content]
  • Impact: [How this changes decisions]

  • 之前: [普遍假设]
  • 之后: [从内容中获得的新认知]
  • 影响: [对决策的改变]

✅ Action Items

✅ 行动项

Quick Wins (< 30 min)

快赢任务(< 30分钟)

  • [Action 1] — Impact: ★★★★ | Effort: Easy
  • [Action 2] — Impact: ★★★ | Effort: Easy
  • [行动1] — 影响:★★★★ | 难度:简单
  • [行动2] — 影响:★★★ | 难度:简单

Deeper Work (1-3 hours)

深度工作(1-3小时)

  • [Action 3] — Impact: ★★★ | Effort: Medium
  • [Action 4] — Impact: ★★ | Effort: Medium
  • [行动3] — 影响:★★★ | 难度:中等
  • [行动4] — 影响:★★ | 难度:中等

Exploration (needs validation)

探索性任务(需验证)

  • [Action 5] — Impact: ★★★ | Effort: Hard | Nature: Exploratory
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  • [行动5] — 影响:★★★ | 难度:困难 | 性质:探索性
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Step 3: Personalized Relevance (Customizable)

步骤3:个性化关联(可自定义)

Map insights to YOUR context. Edit the dimensions below to match your own projects, interests, and systems.
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将洞察映射到你的实际场景,你可以编辑以下维度以适配你的项目、兴趣和系统:
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🔄 How This Applies to Me

🔄 对我的适用性

My Projects

我的项目

  • [Project A]: [How this insight connects]
  • [Project B]: [What I could apply]
  • [项目A]: [该洞察的关联点]
  • [项目B]: [我可以应用的内容]

My Knowledge Base

我的知识库

  • Update: [Which notes/docs to update]
  • New entry: [What to add to my knowledge system]
  • 更新: [需要更新的笔记/文档]
  • 新增条目: [需要添加到知识体系的内容]

My Decision Log

我的决策日志

  • Changed my mind about: [what and why]
  • Confirmed my belief that: [what]

> **Customization**: Edit the dimensions in Step 2 and Step 3 to match your own
> domain. A trader might add "Market Impact" and "Risk Assessment". A developer
> might add "Architecture Patterns" and "Tech Debt". Make it yours.
  • 改变了我对以下内容的看法: [内容及原因]
  • 确认了我对以下内容的判断: [内容]

> **自定义**: 你可以编辑第2步和第3步的分析维度以适配你所在的领域。交易员可以新增「市场影响」和「风险评估」维度,开发者可以新增「架构模式」和「技术债务」维度,打造属于你自己的分析工具。

Output Modes

输出模式

ModeTriggerOutput
Full (default)
/analyze [URL]
All dimensions
Sparse
/analyze [URL] --sparse
Only hit dimensions, skip empty
Brief
/analyze [URL] --brief
Action items only
模式触发方式输出内容
完整模式(默认)
/analyze [URL]
全部维度
精简模式
/analyze [URL] --sparse
仅输出有内容的维度,跳过空维度
概要模式
/analyze [URL] --brief
仅输出行动项

Best Practices

最佳实践

  1. Scan all dimensions, but don't force-fill — skip empty dimensions cleanly
  2. Actions must be specific — not "learn about X" but "read X docs chapter Y"
  3. Distinguish fact from opinion — mark the author's claims vs verified facts
  4. Source everything — tag where each insight comes from in the original content
  5. ROI awareness — not every action is worth doing, assess effort vs impact
  1. 遍历所有维度,但不要强行填充 —— 干净利落地跳过无内容的维度
  2. 行动项必须具体 —— 不要写「了解X」,而是「阅读X文档第Y章」
  3. 区分事实与观点 —— 标注作者的主张与已验证的事实
  4. 所有内容标注来源 —— 标记每个洞察在原内容中的出处
  5. 具备ROI意识 —— 不是所有行动都值得做,要评估投入产出比