docx
Create, edit, and analyze Word documents with tracked changes support
About this skill
The `docx` skill empowers an AI agent to fully manage Microsoft Word documents programmatically. It offers capabilities ranging from simple text extraction using Pandoc to sophisticated raw XML manipulation for complex formatting, comments, and embedded media. A key feature is its comprehensive support for tracked changes, allowing agents to accurately read, apply, or suggest modifications in a "redlining" style, which is critical for legal, academic, business, and government documents. The skill provides distinct workflows for reading/analyzing content, creating new documents, and editing existing ones based on the document's origin and the desired changes. Users can leverage this skill to automate various document-centric tasks that typically require human intervention or specialized software. By providing AI agents with the ability to understand and modify the intricate structure of DOCX files, organizations can streamline content workflows, ensure compliance with document standards, and accelerate document review processes. This skill is particularly valuable for scenarios where an an AI agent needs to programmatically generate reports, extract specific data from documents, or apply templated changes while preserving document integrity and change history.
Best use case
This skill is primarily used by AI agents to interact with and modify Word documents, especially in professional environments requiring precise document handling. Its greatest benefit lies in automating tasks involving tracked changes, making it ideal for legal assistants, researchers, business analysts, or government staff who frequently deal with complex contracts, reports, or proposals that undergo multiple revisions. It streamlines document analysis and modification, reducing manual effort and potential errors.
Create, edit, and analyze Word documents with tracked changes support
The user should expect either a new or modified Word document (.docx) reflecting the agent's changes, or a structured output (Markdown, XML) containing extracted content and analysis.
Practical example
Example input
Please analyze the attached legal contract `contract.docx`. Extract all clauses related to termination and provide a summary of any tracked changes made by 'John Doe'.
Example output
Analysis of `contract.docx`: Termination Clauses: [List extracted clauses]. Tracked Changes by John Doe: - Insertion on page 5: 'This agreement shall be null and void...' - Deletion on page 7: '...prior written consent...' - Comment on page 3: 'Consider rephrasing for clarity.' I have also provided `contract_summary.md` containing the full text with tracked changes.
When to use this skill
- When you need to extract text and structure from a DOCX file, including tracked changes.
- When an AI agent needs to create a new Word document from scratch with specific content.
- When editing an existing Word document, especially if tracked changes (redlining) are required.
- When programmatic access to complex formatting, comments, or embedded media within a DOCX is necessary.
When not to use this skill
- For extremely simple text-only files where a plain text or Markdown conversion is sufficient without needing DOCX structure.
- When the task exclusively involves visual layout design that requires a human user interface.
- When the document is secured with DRM or complex passwords that prevent programmatic access.
- When the document format is not `.docx` (e.g., `.doc`, `.odt`, `.pdf`).
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/docx/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How docx Compares
| Feature / Agent | docx | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | medium | N/A |
Frequently Asked Questions
What does this skill do?
Create, edit, and analyze Word documents with tracked changes support
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as medium. You can find the installation instructions above.
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.
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SKILL.md Source
# 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
# 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
# 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` (~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)Related Skills
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