doc-briefing

将URL、PDF、Word、Markdown等文档转化为结构化简报。核心原则是"摘要即翻译"——保留足够细节,不过度压缩。适用于报告、论文、新闻文章、网页内容等。长文档会递归处理各章节后输出单份完整简报。

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Install skill "doc-briefing" with this command: npx skills add wangc94/my-vibing-skills/wangc94-my-vibing-skills-doc-briefing

Document Briefing Skill

Overview

This skill creates structured, comprehensive document briefings from various input types. Core principle: Summary as translation, not compression. Retain sufficient detail—it's better to err on the side of including more information than over-condensing.

When to Use

Use this skill when the user wants to:

  • Summarize a URL/webpage into a briefing
  • Extract and summarize content from PDF files
  • Summarize Word documents (.docx)
  • Create briefings from Markdown or text files
  • Convert any document into a structured briefing format

Input Types

TypeHandler
URLsUse WebFetch to get content
PDF (.pdf)Use pdf skill to extract text
Word (.docx)Use docx skill to extract text
Markdown (.md)Read file directly
Text (.txt)Read file directly

Output Format

The briefing follows this structure:

# [Document Title]

## 📋 基本信息
- 来源类型:
- 获取时间:
- 文档页数/字数:

## 🎯 核心观点
(用 1-3 句话概括文档核心主张)

## 📌 关键发现
1. 发现一
2. 发现二
3. ...

## 📖 详细摘要
### 背景/引言
...

### 主体内容
(按原文结构分段总结,保留足够细节)

### 结论
...

## 💡 分析与洞察
(可选:技能的独立分析视角)

## 📝 待处理事项
- [ ] 待确认的点 1
- [ ] 待确认的点 2

## 🔗 相关资源
(从文档中提取的链接、引用等)

Processing Workflow

Step 1: Identify Input Type

  • If URL → fetch with WebFetch
  • If PDF → use pdf skill to extract text
  • If Word → use docx skill to extract text
  • If Markdown/Text → read file directly

Step 2: Extract Content

  • Get full text content from the document
  • Note metadata (title, page count if available, source URL)

Step 3: Create Briefing

  1. Title: Extract or infer from content
  2. 基本信息: Document source type, fetch time, approximate length
  3. 核心观点: 1-3 sentence summary of main argument
  4. 关键发现: Numbered list of key findings (3-7 items)
  5. 详细摘要: Full summary with background, body, conclusion
  6. 分析与洞察: Optional - your analysis as an expert reader
  7. 待处理事项: Points that need verification or follow-up
  8. 相关资源: Extract URLs, citations, references from source

Step 4: Quality Check

Before delivering, verify:

  • All sections are present
  • Key information is retained (not over-condensed)
  • Original structure is reflected in summary
  • Links and resources are captured
  • Markdown formatting is correct

Quality Guidelines

Do:

  • Preserve specific numbers, names, dates, and technical details
  • Maintain the original document's logical structure
  • Include relevant quotes when they add value
  • Note any ambiguities or unclear points for follow-up
  • Extract all relevant URLs and references

Don't:

  • Over-condense to the point of losing important detail
  • Omit negative findings or contradictions
  • Add information not in the source
  • Use vague summaries like "discusses various topics"

Tips

  • For long documents, process each section/chapter recursively but output as ONE unified briefing
  • When unsure about detail level, include more rather than less
  • Always preserve technical terms, acronyms, and specific data
  • Note the document's tone and intended audience if apparent

Document Type Adaptation

Different document types require different emphasis:

Document TypeEmphasis
论文/研究报告方法论、数据来源、结论、研究价值
新闻报道5W1H、时间线、关键事实
商业报告关键数据、建议、行动项、ROI
技术文档架构、API、使用方法、限制
政策文件适用范围、权利义务、生效时间

Handling Long Documents

For documents >20 pages or with clear章节结构:

  1. Internal recursive processing: 逐章/逐节提取和处理内容,记录每个章节的核心观点和关键发现
  2. Single unified output: 最终整合成一份完整的简报,不是多份
  3. 章节映射: 在"详细摘要"部分按原文档章节结构组织内容
  4. 处理记录 (可选): 可在"📋 基本信息"中添加处理深度说明
处理策略:递归处理全文档 X 章/节,整合为单份简报

Source Transparency

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doc-briefing | V50.AI