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Docx

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henkisdabro
docx

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. Use when working with professional documents (.docx files) for creating new documents, modifying or editing content, working with tracked changes, adding comments, or any other document tasks. Do NOT use for plain-text Markdown drafting, PDF work (use pdf-extract or pdf-processing-pro), or rich rendered email/WhatsApp drafts (use the message plugin).

Overview

Publisherhenkisdabro
Repositorywookstar-claude-plugins
Skill namedocx
Stars
88
Forks
12
Bundled files
58
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 58 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by henkisdabro on GitHub. Read the source before you install it.

Installation

Install the Docx AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/henkisdabro/wookstar-claude-plugins.git /tmp/wookstar-claude-plugins
mkdir -p .claude/skills
cp -r /tmp/wookstar-claude-plugins/plugins/documents/skills/docx .claude/skills/docx
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docx in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Docx on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Docx is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

DOCX creation, editing, and analysis

Overview

A user may ask you to create, edit, or analyse 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/Analysing 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 analysing 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

Use this workflow when editing someone else's document or any formal/professional document. It implements tracked changes (redlining) so the document owner can review and accept/reject each change.

Key principles: Group changes into batches of 3-10. Only mark text that actually changes - never replace entire sentences when only a word changes. Preserve original run RSIDs for unchanged text.

MANDATORY: Before starting, read the full workflow in references/redlining-workflow.md for the complete step-by-step process, batching strategies, minimal edit principles with examples, and verification steps.

Quick summary of steps: Convert to markdown, identify and group changes, read ooxml.md, unpack document, implement changes in batches using the Document library, pack the result, and verify all changes.

Converting Documents to Images

To visually analyse 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). Linux commands shown first, macOS (Homebrew) in parentheses:

  • pandoc: sudo apt-get install pandoc (macOS: brew install pandoc) - for text extraction
  • docx: npm install -g docx - for creating new documents
  • LibreOffice: sudo apt-get install libreoffice (macOS: brew install --cask libreoffice) - for PDF conversion
  • Poppler: sudo apt-get install poppler-utils (macOS: brew install poppler) - for pdftoppm to convert PDF to images
  • defusedxml: pip install defusedxml - for secure XML parsing

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Docx AI skill do?

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. Use when working with professional documents (.docx files) for creating new documents, modifying or editing content, working with tracked changes, adding comments, or any other document tasks. Do NOT use for plain-text Markdown drafting, PDF work (use pdf-extract or pdf-processing-pro), or rich rendered email/WhatsApp drafts (use the message plugin).

Why use Docx on TypingMind?

Because you install it once and use it with any model. Docx is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Docx in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/henkisdabro/wookstar-claude-plugins/tree/main/plugins/documents/skills/docx. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Docx?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Docx?

As many as you like. As long as a model supports skills, you can use Docx with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Docx AI skill free?

It is published on GitHub by henkisdabro. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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