鱼皮AI导航
鱼皮AI导航
  • 主页
  • 社区
  • AI工具
  • AI知识库
  • AI提示词
  • MCP
  • Skills
  • AI学习资源
  • AI资讯
  • GitHub开源
登录/注册

docx

支持专业级 Word 文档的全生命周期处理,包括从零创建结构化文档、精准编辑内容、管理修订痕迹与批注、提取纯文本或原始 XML 数据、转换为 PDF 或图像用于视觉分析,适用于法律、学术及企业场景下的高保真文档协作与自动化处理。

效率工具文档处理数据与分析内容与媒体Claude官方
访问 GitHub
文档Skills.MD
name
docx
description
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
license
Proprietary. LICENSE.txt has complete terms

DOCX creation, editing, and analysis

Overview

A user may ask you to create, edit, or analyze the contents of a .docx file. A .docx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks.

Workflow Decision Tree

Reading/Analyzing Content

Use "Text extraction" or "Raw XML access" sections below

Creating New Document

Use "Creating a new Word document" workflow

Editing Existing Document

  • Your own document + simple changes Use "Basic OOXML editing" workflow

  • Someone else's document Use "Redlining workflow" (recommended default)

  • Legal, academic, business, or government docs Use "Redlining workflow" (required)

Reading and analyzing content

Text extraction

If you just need to read the text contents of a document, you should convert the document to markdown using pandoc. Pandoc provides excellent support for preserving document structure and can show tracked changes:

▼
bash
复制代码
# Convert document to markdown with tracked changes pandoc --track-changes=all path-to-file.docx -o output.md # Options: --track-changes=accept/reject/all

Raw XML access

You need raw XML access for: comments, complex formatting, document structure, embedded media, and metadata. For any of these features, you'll need to unpack a document and read its raw XML contents.

Unpacking a file

python ooxml/scripts/unpack.py <office_file> <output_directory>

Key file structures

  • word/document.xml - Main document contents
  • word/comments.xml - Comments referenced in document.xml
  • word/media/ - Embedded images and media files
  • Tracked changes use <w:ins> (insertions) and <w:del> (deletions) tags

Creating a new Word document

When creating a new Word document from scratch, use docx-js, which allows you to create Word documents using JavaScript/TypeScript.

Workflow

  1. MANDATORY - READ ENTIRE FILE: Read docx-js.md (~500 lines) completely from start to finish. NEVER set any range limits when reading this file. Read the full file content for detailed syntax, critical formatting rules, and best practices before proceeding with document creation.
  2. Create a JavaScript/TypeScript file using Document, Paragraph, TextRun components (You can assume all dependencies are installed, but if not, refer to the dependencies section below)
  3. Export as .docx using Packer.toBuffer()

Editing an existing Word document

When editing an existing Word document, use the Document library (a Python library for OOXML manipulation). The library automatically handles infrastructure setup and provides methods for document manipulation. For complex scenarios, you can access the underlying DOM directly through the library.

Workflow

  1. MANDATORY - READ ENTIRE FILE: Read ooxml.md (~600 lines) completely from start to finish. NEVER set any range limits when reading this file. Read the full file content for the Document library API and XML patterns for directly editing document files.
  2. Unpack the document: python ooxml/scripts/unpack.py <office_file> <output_directory>
  3. Create and run a Python script using the Document library (see "Document Library" section in ooxml.md)
  4. Pack the final document: python ooxml/scripts/pack.py <input_directory> <office_file>

The Document library provides both high-level methods for common operations and direct DOM access for complex scenarios.

Redlining workflow for document review

This workflow allows you to plan comprehensive tracked changes using markdown before implementing them in OOXML. CRITICAL: For complete tracked changes, you must implement ALL changes systematically.

Batching Strategy: Group related changes into batches of 3-10 changes. This makes debugging manageable while maintaining efficiency. Test each batch before moving to the next.

Principle: Minimal, Precise Edits When implementing tracked changes, only mark text that actually changes. Repeating unchanged text makes edits harder to review and appears unprofessional. Break replacements into: [unchanged text] + [deletion] + [insertion] + [unchanged text]. Preserve the original run's RSID for unchanged text by extracting the <w:r> element from the original and reusing it.

Example - Changing "30 days" to "60 days" in a sentence:

▼
python
复制代码
# BAD - Replaces entire sentence '<w:del><w:r><w:delText>The term is 30 days.</w:delText></w:r></w:del><w:ins><w:r><w:t>The term is 60 days.</w:t></w:r></w:ins>' # GOOD - Only marks what changed, preserves original <w:r> for unchanged text '<w:r w:rsidR="00AB12CD"><w:t>The term is </w:t></w:r><w:del><w:r><w:delText>30</w:delText></w:r></w:del><w:ins><w:r><w:t>60</w:t></w:r></w:ins><w:r w:rsidR="00AB12CD"><w:t> days.</w:t></w:r>'

Tracked changes workflow

  1. Get markdown representation: Convert document to markdown with tracked changes preserved:

    ▼
    bash
    复制代码
    pandoc --track-changes=all path-to-file.docx -o current.md
  2. Identify and group changes: Review the document and identify ALL changes needed, organizing them into logical batches:

    Location methods (for finding changes in XML):

    • Section/heading numbers (e.g., "Section 3.2", "Article IV")
    • Paragraph identifiers if numbered
    • Grep patterns with unique surrounding text
    • Document structure (e.g., "first paragraph", "signature block")
    • DO NOT use markdown line numbers - they don't map to XML structure

    Batch organization (group 3-10 related changes per batch):

    • By section: "Batch 1: Section 2 amendments", "Batch 2: Section 5 updates"
    • By type: "Batch 1: Date corrections", "Batch 2: Party name changes"
    • By complexity: Start with simple text replacements, then tackle complex structural changes
    • Sequential: "Batch 1: Pages 1-3", "Batch 2: Pages 4-6"
  3. Read documentation and unpack:

    • MANDATORY - READ ENTIRE FILE: Read ooxml.md (~600 lines) completely from start to finish. NEVER set any range limits when reading this file. Pay special attention to the "Document Library" and "Tracked Change Patterns" sections.
    • Unpack the document: python ooxml/scripts/unpack.py <file.docx> <dir>
    • Note the suggested RSID: The unpack script will suggest an RSID to use for your tracked changes. Copy this RSID for use in step 4b.
  4. Implement changes in batches: Group changes logically (by section, by type, or by proximity) and implement them together in a single script. This approach:

    • Makes debugging easier (smaller batch = easier to isolate errors)
    • Allows incremental progress
    • Maintains efficiency (batch size of 3-10 changes works well)

    Suggested batch groupings:

    • By document section (e.g., "Section 3 changes", "Definitions", "Termination clause")
    • By change type (e.g., "Date changes", "Party name updates", "Legal term replacements")
    • By proximity (e.g., "Changes on pages 1-3", "Changes in first half of document")

    For each batch of related changes:

    a. Map text to XML: Grep for text in word/document.xml to verify how text is split across <w:r> elements.

    b. Create and run script: Use get_node to find nodes, implement changes, then doc.save(). See "Document Library" section in ooxml.md for patterns.

    Note: Always grep word/document.xml immediately before writing a script to get current line numbers and verify text content. Line numbers change after each script run.

  5. Pack the document: After all batches are complete, convert the unpacked directory back to .docx:

    ▼
    bash
    复制代码
    python ooxml/scripts/pack.py unpacked reviewed-document.docx
  6. Final verification: Do a comprehensive check of the complete document:

    • Convert final document to markdown:
      ▼
      bash
      复制代码
      pandoc --track-changes=all reviewed-document.docx -o verification.md
    • Verify ALL changes were applied correctly:
      ▼
      bash
      复制代码
      grep "original phrase" verification.md # Should NOT find it grep "replacement phrase" verification.md # Should find it
    • Check that no unintended changes were introduced

Converting Documents to Images

To visually analyze Word documents, convert them to images using a two-step process:

  1. Convert DOCX to PDF:

    ▼
    bash
    复制代码
    soffice --headless --convert-to pdf document.docx
  2. Convert PDF pages to JPEG images:

    ▼
    bash
    复制代码
    pdftoppm -jpeg -r 150 document.pdf page

    This creates files like page-1.jpg, page-2.jpg, etc.

Options:

  • -r 150: Sets resolution to 150 DPI (adjust for quality/size balance)
  • -jpeg: Output JPEG format (use -png for PNG if preferred)
  • -f N: First page to convert (e.g., -f 2 starts from page 2)
  • -l N: Last page to convert (e.g., -l 5 stops at page 5)
  • page: Prefix for output files

Example for specific range:

▼
bash
复制代码
pdftoppm -jpeg -r 150 -f 2 -l 5 document.pdf page # Converts only pages 2-5

Code Style Guidelines

IMPORTANT: When generating code for DOCX operations:

  • Write concise code
  • Avoid verbose variable names and redundant operations
  • Avoid unnecessary print statements

Dependencies

Required dependencies (install if not available):

  • pandoc: sudo apt-get install pandoc (for text extraction)
  • docx: npm install -g docx (for creating new documents)
  • LibreOffice: sudo apt-get install libreoffice (for PDF conversion)
  • Poppler: sudo apt-get install poppler-utils (for pdftoppm to convert PDF to images)
  • defusedxml: pip install defusedxml (for secure XML parsing)
效率工具
文档处理
数据与分析
内容与媒体
Claude官方

快捷安装

复制到终端去安装 Skill

npxskillsaddanthropics/skills--skill"docx"
站长:程序员鱼皮 老鱼简历 商务合作 增值电信业务经营许可证
2026 鱼皮AI导航 | 沪ICP备19026706号-6
站长:程序员鱼皮 老鱼简历 商务合作 增值电信业务经营许可证
2026 鱼皮AI导航 | 沪ICP备19026706号-6
🔥热门工具
朱雀AI检测朱雀AI检测
朱雀AI检测助手朱雀AI检测助手
LovartLovart
老鱼简历老鱼简历
WritePass官网WritePass官网
面多多面多多
CursorCursor
星月写作星月写作
零感AI零感AI
墨得问题墨得问题
Skills 推荐
webapp-testing
提供本地 Web 应用的端到端测试能力,支持页面导航、元素交互、表单填写、动态等待、断言验证、截图捕获、浏览器日志收集及网络请求拦截,适用于前端功能验证与 UI 行为调试。
definition-of-done-generator
自动生成项目完成标准的规范定义与配置文件,提供符合企业级工作流要求的最佳实践指导,输出可直接投入生产环境的代码和验证结果,适用于需要标准化流程审批、合规审查及跨系统集成的复杂项目管理场景。
implement
实现 Linus Dashboard 的功能开发与集成,基于 TypeScript 和 Python 构建前后端组件,遵循严格的代码规范与架构模式,完成视图、卡片、服务及传感器等模块的创建与验证,确保高质量交付并兼容 Home Assistant 生态。
cloud-scheduler-job-creator
自动处理 Google Cloud Platform 中的云调度任务创建,提供符合最佳实践的配置方案与生产级代码生成,支持计算、存储、大数据及机器学习服务的集成部署。
planning-with-files
通过创建任务计划、笔记与交付文件三个持久化文档,实现对复杂任务的结构化管理。在多阶段工作中保持目标清晰,动态更新进度并沉淀研究过程,适用于需长期跟踪的规划、研究及创作场景。