docx
The docx skill enables creation, reading, editing, and manipulation of Word documents (.docx files) using tools like pandoc for text extraction, docx-js JavaScript library for generating new documents with formatting like tables and headers, and XML unpacking for advanced edits. Use this skill when users request Word documents, reports, memos, letters, or templates with professional formatting, or when extracting, reorganizing, or converting content within .docx files.
git clone --depth 1 https://github.com/melandlabs/openloomi /tmp/docx && cp -r /tmp/docx/skills/docx ~/.claude/skills/docxSKILL.md
# DOCX creation, editing, and analysis
## Overview
A .docx file is a ZIP archive containing XML files.
## Quick Reference
| Task | Approach |
| ---------------------- | ----------------------------------------------------------------- |
| Read/analyze content | `pandoc` or unpack for raw XML |
| Create new document | Use `docx-js` - see Creating New Documents below |
| Edit existing document | Unpack → edit XML → repack - see Editing Existing Documents below |
### Converting .doc to .docx
Legacy `.doc` files are **auto-converted** on read and write — no manual step needed:
```bash
# Reading .doc (auto-converted to .docx internally)
python scripts/office/unpack.py legacy.doc unpacked/
# Writing .doc (auto-converted from .docx)
python scripts/office/pack.py unpacked/ output.doc
```
LibreOffice is used for the conversion, with automatic sandbox-friendly socket handling.
### Reading Content
```bash
# Text extraction with tracked changes
pandoc --track-changes=all document.docx -o output.md
# Raw XML access
python scripts/office/unpack.py document.docx unpacked/
```
### Converting to Images
```bash
python scripts/office/soffice.py --headless --convert-to pdf document.docx
pdftoppm -jpeg -r 150 document.pdf page
```
### Accepting Tracked Changes
To produce a clean document with all tracked changes accepted (requires LibreOffice):
```bash
python scripts/accept_changes.py input.docx output.docx
```
---
## Creating New Documents
Generate .docx files with JavaScript, then validate. Install: `npm install -g docx`
### Setup
```javascript
const {
Document,
Packer,
Paragraph,
TextRun,
Table,
TableRow,
TableCell,
ImageRun,
Header,
Footer,
AlignmentType,
PageOrientation,
LevelFormat,
ExternalHyperlink,
TableOfContents,
HeadingLevel,
BorderStyle,
WidthType,
ShadingType,
VerticalAlign,
PageNumber,
PageBreak,
} = require("docx");
const doc = new Document({
sections: [
{
children: [
/* content */
],
},
],
});
Packer.toBuffer(doc).then((buffer) => fs.writeFileSync("doc.docx", buffer));
```
### Validation
After creating the file, validate it. If validation fails, unpack, fix the XML, and repack.
```bash
python scripts/office/validate.py doc.docx
```
### Page Size
```javascript
// CRITICAL: docx-js defaults to A4, not US Letter
// Always set page size explicitly for consistent results
sections: [
{
properties: {
page: {
size: {
width: 12240, // 8.5 inches in DXA
height: 15840, // 11 inches in DXA
},
margin: { top: 1440, right: 1440, bottom: 1440, left: 1440 }, // 1 inch margins
},
},
children: [
/* content */
],
},
];
```
**Common page sizes (DXA units, 1440 DXA = 1 inch):**
| Paper | Width | Height | Content Width (1" margins) |
| ------------ | ------ | ------ | -------------------------- |
| US Letter | 12,240 | 15,840 | 9,360 |
| A4 (default) | 11,906 | 16,838 | 9,026 |
**Landscape orientation:** docx-js swaps width/height internally, so pass portrait dimensions and let it handle the swap:
```javascript
size: {
width: 12240, // Pass SHORT edge as width
height: 15840, // Pass LONG edge as height
orientation: PageOrientation.LANDSCAPE // docx-js swaps them in the XML
},
// Content width = 15840 - left margin - right margin (uses the long edge)
```
### Styles (Override Built-in Headings)
Use Arial as the default font (universally supported). Keep titles black for readability.
```javascript
const doc = new Document({
styles: {
default: { document: { run: { font: "Arial", size: 24 } } }, // 12pt default
paragraphStyles: [
// IMPORTANT: Use exact IDs to override built-in styles
{
id: "Heading1",
name: "Heading 1",
basedOn: "Normal",
next: "Normal",
quickFormat: true,
run: { size: 32, bold: true, font: "Arial" },
paragraph: { spacing: { before: 240, after: 240 }, outlineLevel: 0 },
}, // outlineLevel required for TOC
{
id: "Heading2",
name: "Heading 2",
basedOn: "Normal",
next: "Normal",
quickFormat: true,
run: { size: 28, bold: true, font: "Arial" },
paragraph: { spacing: { before: 180, after: 180 }, outlineLevel: 1 },
},
],
},
sections: [
{
children: [
new Paragraph({
heading: HeadingLevel.HEADING_1,
children: [new TextRun("Title")],
}),
],
},
],
});
```
### Lists (NEVER use unicode bullets)
```javascript
// ❌ WRONG - never manually insert bullet characters
new Paragraph({ children: [new TextRun("• Item")] }); // BAD
new Paragraph({ children: [new TextRun("\u2022 Item")] }); // BAD
// ✅ CORRECT - use numbering config with LevelFormat.BULLET
const doc = new Document({
numbering: {
config: [
{
reference: "bullets",
levels: [
{
level: 0,
format: LevelFormat.BULLET,
text: "•",
alignment: AlignmentType.LEFT,
style: { paragraph: { indent: { left: 720, hanging: 360 } } },
},
],
},
{
reference: "numbers",
levels: [
{
level: 0,
format: LevelFormat.DECIMAL,
text: "%1.",
alignment: AlignmentType.LEFT,
style: { paragraph: { indent: { left: 720, hanging: 360 } } },
},
],
},
],
},
sections: [
{
children: [
new Paragraph({
numbering: { reference: "bullets", level: 0 },
children: [new TextRun("Bullet item")],
}),
new Paragraph({
numbering: { reference: "numbers", level: 0 },
children: [new TextRun("Numbered item")]Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Use 1000+ external apps via Composio - either directly through the CLI or by building AI agents and apps with the SDK
Walk the user through installing the optional composio skill and turning on screen memory
Persist learning across turns by actively maintaining MENTAL_MODEL.md in the workspace. Use for iterative coding, debugging, benchmarking, or any feedback-driven task; read and update the file with actual filesystem writes before every response, never just hidden/internal memory.
Create an end-to-end Continual Learning Bench task. Use when adding a new src/tasks/<name> benchmark task, including design interview, concrete Jinja prompt templates, JSON action contracts, observation templates, debug schedule, behavioral E2E tests, validation, smoke/debug runs with icl and icl_notepad, and README documentation.
Drive a native macOS app via the cua-driver CLI (default) or MCP server — snapshot its AX tree, click/type/scroll by element_index, verify via re-snapshot. Use when the user asks you to operate, drive, automate, or perform a GUI task in a real macOS application on the host (e.g. "open a file in TextEdit", "navigate to /Applications in Finder", "click the Save button in Numbers").
High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data. Use for CSV/JSON/Parquet processing, statistical analysis, time series, and creating charts.
Discover and install skills from the open agent skills ecosystem. Use when: (1) user asks "how do I do X" where X might have an existing skill, (2) user says "find a skill for X" or "is there a skill for X", (3) user asks "can you do X" where X is a specialized capability, (4) user wants to extend agent capabilities, (5) user wants to search for tools, templates, or workflows, (6) user mentions they wish they had help with a specific domain (design, testing, deployment, etc.).