DOCX creation, editing, and analysis

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/docx-official

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

DOCX creation, editing, and analysis

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Reading and analyzing content, Creating a new Word document, Editing an existing Word document, Converting Documents to Images, Dependencies, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: 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....
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

metadata.json

ORIGIN.md

scripts/__init__.py

scripts/document.py

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Your own document + simple changes
2. Someone else's document
3. Legal, academic, business, or government docs
4. Get markdown representation: Convert document to markdown with tracked changes preserved:
5. Identify and group changes: Review the document and identify ALL changes needed, organizing them into logical batches:
6. Section/heading numbers (e.g., "Section 3.2", "Article IV")
7. Paragraph identifiers if numbered

Imported Workflow Notes

Imported: 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)

Imported: 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>

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

Imported: 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.

Imported: 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:

# 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

Examples

Example 1: Ask for the upstream workflow directly

Use @docx-official to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @docx-official against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @docx-official for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @docx-official using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Write concise code
• Avoid verbose variable names and redundant operations
• Avoid unnecessary print statements
• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.

Imported Operating Notes

Imported: Code Style Guidelines

IMPORTANT: When generating code for DOCX operations:

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

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/docx-official

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @devops-deploy

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @devops-troubleshooter

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @differential-review

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @discord-automation

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/__init__.py

agents

agents/n/a

assets

assets/n/a

• init.py
• document.py
• templates/comments.xml
• templates/commentsExtended.xml
• LICENSE.txt
• docx-js.md

Imported Reference Notes

Imported: 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()

Imported: 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.

Imported: 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

Imported: 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)

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.