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DOCX creation, editing, and analysis

Overview

A .docx file is a ZIP archive containing XML files and resources. Create, edit, or analyze Word documents using text extraction, raw XML access, or redlining workflows. Apply this skill for professional document processing, tracked changes, and content manipulation.

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

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

# 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

Raw XML access is required for: comments, complex formatting, document structure, embedded media, and metadata. For any of these features, 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 planning comprehensive tracked changes using markdown before implementing them in OOXML. CRITICAL: For complete tracked changes, 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:

# 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:

    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:

    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:
      pandoc --track-changes=all reviewed-document.docx -o verification.md
      
    • Verify ALL changes were applied correctly:
      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:

    soffice --headless --convert-to pdf document.docx
    
  2. Convert PDF pages to JPEG images:

    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:

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: uv pip install defusedxml (for secure XML parsing)

Source

git clone https://github.com/Microck/ordinary-claude-skills/blob/main/skills_all/claude-scientific-skills/scientific-skills/document-skills/docx/SKILL.mdView on GitHub

Overview

A .docx document toolkit for creating, editing, and analyzing Word files. It supports tracked changes, comments, and formatting preservation, plus text extraction and raw XML access for professional document processing.

How This Skill Works

Workflows are organized into reading/analyzing content, creating new documents with docx-js, and editing existing ones with the Python Document library. Redlining workflows enable comprehensive tracked changes, while Raw OOXML access lets you inspect structure, metadata, and embedded media for advanced manipulations.

When to Use It

  • Starting a new Word document from scratch and exporting a .docx.
  • Reviewing someone else’s document that requires tracked changes or comments.
  • Preparing legal, academic, or government docs that require redlining.
  • Extracting text or metadata for indexing, data analysis, or migration.
  • Inspecting and manipulating document structure via raw OOXML for complex formatting.

Quick Start

  1. Step 1: Choose the workflow (read/create/edit/redline) and prepare the files.
  2. Step 2: For new docs, build with docx-js using Document, Paragraph, TextRun; export with Packer.toBuffer().
  3. Step 3: For editing, unpack OOXML if needed, manipulate with the Document library, then re-pack.

Best Practices

  • Define the workflow (read, create, edit, or redline) before touching the file.
  • Use pandoc for text extraction to preserve structure and track changes.
  • Unpack OOXML to inspect word/document.xml, comments.xml, and media folders when needed.
  • Leverage docx-js for programmatic creation with Document, Paragraph, TextRun, then Packer.toBuffer().
  • Prefer the Redlining workflow for collaborative edits on shared documents.

Example Use Cases

  • Generate a contract from a template with consistent formatting and styles.
  • Annotate a client proposal with comments and tracked changes for review.
  • Convert a Word document to Markdown while preserving structure for content pipelines.
  • Edit an existing report using the Python Document library and direct OOXML access.
  • Apply a full redline pass on a legal document before finalization.

Frequently Asked Questions

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