docx
Comprehensive document creation, editing, and analysis with support for
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
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
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 | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Comprehensive document creation, editing, and analysis with support for
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 Processing
## Workflow Decision Tree
- **Reading/Analyzing**: Use text extraction or raw XML access
- **Creating New Document**: Use docx-js (JavaScript)
- **Editing Existing**: Use OOXML editing or redlining workflow
## Reading Content
### Text Extraction with Pandoc
```bash
# Convert to markdown with tracked changes
pandoc --track-changes=all file.docx -o output.md
```
### Raw XML Access
```bash
# Unpack document
unzip document.docx -d unpacked/
# Key files:
# word/document.xml - Main content
# word/comments.xml - Comments
# word/media/ - Images
```
## Creating New Documents (docx-js)
```javascript
import { Document, Paragraph, TextRun, Packer } from 'docx';
import fs from 'fs';
const doc = new Document({
sections: [{
children: [
new Paragraph({
children: [
new TextRun({ text: "Hello ", bold: true }),
new TextRun({ text: "World", italics: true })
]
})
]
}]
});
const buffer = await Packer.toBuffer(doc);
fs.writeFileSync('document.docx', buffer);
```
## Editing Existing Documents
### Simple Edits
1. Unpack: `unzip doc.docx -d unpacked/`
2. Edit `word/document.xml`
3. Repack: `cd unpacked && zip -r ../edited.docx .`
### Tracked Changes (Redlining)
For professional documents, use tracked changes:
```xml
<!-- Deletion -->
<w:del w:author="Author" w:date="2025-01-01T00:00:00Z">
<w:r><w:delText>old text</w:delText></w:r>
</w:del>
<!-- Insertion -->
<w:ins w:author="Author" w:date="2025-01-01T00:00:00Z">
<w:r><w:t>new text</w:t></w:r>
</w:ins>
```
## Converting to Images
```bash
# DOCX to PDF
soffice --headless --convert-to pdf document.docx
# PDF to images
pdftoppm -jpeg -r 150 document.pdf page
```
## Best Practices
- Use Pandoc for text extraction
- Use docx-js for creating new documents
- For legal/business docs, always use tracked changes
- Preserve original RSIDs when editing
## Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
### Graph Theory
- **networkx** [○] via bicomodule
- Universal graph hub
### Bibliography References
- `general`: 734 citations in bib.duckdb
## Cat# Integration
This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:
```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
```
### GF(3) Naturality
The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```
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