docx

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

155 stars

Best use case

docx is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using docx should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/06_Office_Docx/SKILL.md --create-dirs "https://raw.githubusercontent.com/boshi-xixixi/TraeSkill/main/.trae/Skills/06_Office_Docx/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/06_Office_Docx/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How docx Compares

Feature / AgentdocxStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# DOCX creation, editing, and analysis

## 🤖 智能体与 MCP 增强 (Agent & MCP Enhancements)

本 Skill 支持并推荐配合特定的智能体角色和 MCP 工具使用,以获得最佳效果。

### 推荐智能体角色
*   **Office Docx Architect**: 详见 [AGENTS.md](AGENTS.md)。
    *   该角色专注于 OOXML 结构的完整性和合规性修订。
    *   在 Trae 中配置该角色后,AI 将自动采用更严谨的“解压-编辑-打包”思维模式,而非简单的文本替换。

### 推荐 MCP 工具
*   **Filesystem MCP**: 允许 AI 直接操作解压后的 XML 目录,进行更精细的结构验证。
*   **Git MCP**: 用于管理文档编辑过程中的版本回滚。
*   **mcp-feedback-enhanced**: 允许 AI 在文档创建或编辑过程中,使用 `ask_followup_question` 向用户确认内容细节(如“这个段落的语气是否需要更正式?”)或编辑范围(如“是否需要保留所有修订记录?”)。

---

## 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
# 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`](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`](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
# 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
   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`](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
   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
     pandoc --track-changes=all reviewed-document.docx -o verification.md
     ```
   - Verify ALL changes were applied correctly:
     ```bash
     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
   soffice --headless --convert-to pdf document.docx
   ```

2. **Convert PDF pages to JPEG images**:
   ```bash
   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
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)

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