Docx logo

Docx

Organization
sinaptik-ai
docx

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', '.docx', or requests to produce professional documents with headings, tables of contents, page numbers, or letterheads. Also use for extracting content from .docx files, working with tracked changes, or converting content into a polished Word document.

Overview

Publishersinaptik-ai
Repositorystarpod
Skill namedocx
Stars
80
Forks
20
Bundled files
7
LicenseMIT
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.

  • 7 bundled files

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

  • Open source

    Published by sinaptik-ai 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.
    https://github.com/sinaptik-ai/starpod/tree/main/crates/starpod/skills/docx
  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/sinaptik-ai/starpod.git /tmp/starpod
mkdir -p .claude/skills
cp -r /tmp/starpod/crates/starpod/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 Skill

Quick Reference

TaskApproachScript
Read/extract textpython-docx or pandocSee below
Create new documentpython-docx (Python) or docx (Node.js)See below
Edit existingpython-docx load → modify → saveSee below
Edit XML directlyunpack → edit → packpython scripts/office/unpack.py doc.docx unpacked/
Add commentscomment.pypython scripts/comment.py unpacked/ 0 "text"
Accept tracked changesaccept_changes.pypython scripts/accept_changes.py in.docx out.docx
Convert .doc → .docxLibreOfficepython scripts/office/soffice.py --headless --convert-to docx doc.doc
Convert to PDFLibreOfficepython scripts/office/soffice.py --headless --convert-to pdf doc.docx

Reading Content

python-docx

python
from docx import Document

doc = Document("document.docx")
for para in doc.paragraphs:
    print(f"[{para.style.name}] {para.text}")

for table in doc.tables:
    for row in table.rows:
        print([cell.text for cell in row.cells])

pandoc (with tracked changes)

bash
pandoc --track-changes=all document.docx -o output.md

Creating New Documents with python-docx

Full document example

python
from docx import Document
from docx.shared import Inches, Pt, Cm, RGBColor
from docx.enum.text import WD_ALIGN_PARAGRAPH
from docx.enum.table import WD_TABLE_ALIGNMENT
from docx.enum.section import WD_ORIENT

doc = Document()

# Page setup (US Letter)
section = doc.sections[0]
section.page_width = Inches(8.5)
section.page_height = Inches(11)
section.top_margin = Inches(1)
section.bottom_margin = Inches(1)
section.left_margin = Inches(1)
section.right_margin = Inches(1)

# Default font
style = doc.styles['Normal']
font = style.font
font.name = 'Arial'
font.size = Pt(11)

# Title
title = doc.add_heading('Document Title', level=0)
title.alignment = WD_ALIGN_PARAGRAPH.CENTER

# Body text
doc.add_paragraph('Executive summary paragraph with key findings and recommendations.')

# Heading hierarchy
doc.add_heading('Section 1: Overview', level=1)
doc.add_paragraph('Section content goes here.')

doc.add_heading('1.1 Subsection', level=2)
doc.add_paragraph('Subsection details.')

doc.save('document.docx')

Lists

python
# Bullet list
doc.add_paragraph('First item', style='List Bullet')
doc.add_paragraph('Second item', style='List Bullet')

# Numbered list
doc.add_paragraph('Step one', style='List Number')
doc.add_paragraph('Step two', style='List Number')

# Nested bullets (indent level)
p = doc.add_paragraph('Sub-item', style='List Bullet 2')

Tables

python
table = doc.add_table(rows=4, cols=3)
table.style = 'Table Grid'
table.alignment = WD_TABLE_ALIGNMENT.CENTER

# Set column widths
for row in table.rows:
    row.cells[0].width = Inches(2)
    row.cells[1].width = Inches(3)
    row.cells[2].width = Inches(1.5)

# Header row
headers = ['Name', 'Description', 'Status']
for i, h in enumerate(headers):
    cell = table.rows[0].cells[i]
    cell.text = h
    for p in cell.paragraphs:
        p.runs[0].bold = True
    shading = cell._element.get_or_add_tcPr()
    from docx.oxml.ns import qn
    from lxml import etree
    shd = etree.SubElement(shading, qn('w:shd'))
    shd.set(qn('w:fill'), '333333')
    shd.set(qn('w:val'), 'clear')
    for p in cell.paragraphs:
        p.runs[0].font.color.rgb = RGBColor(0xFF, 0xFF, 0xFF)

# Data
data = [['Project A', 'Core platform rewrite', 'Active'],
        ['Project B', 'API integration', 'Planning'],
        ['Project C', 'Documentation update', 'Complete']]
for r, row_data in enumerate(data, 1):
    for c, val in enumerate(row_data):
        table.rows[r].cells[c].text = val

Images

python
doc.add_picture('chart.png', width=Inches(5))
last_paragraph = doc.paragraphs[-1]
last_paragraph.alignment = WD_ALIGN_PARAGRAPH.CENTER

Headers and footers

python
section = doc.sections[0]
header = section.header
header_para = header.paragraphs[0]
header_para.text = "Company Name"
header_para.style.font.size = Pt(9)

footer = section.footer
footer_para = footer.paragraphs[0]
footer_para.text = "Confidential"
footer_para.alignment = WD_ALIGN_PARAGRAPH.CENTER

Page breaks

python
doc.add_page_break()

Landscape sections

python
new_section = doc.add_section(WD_ORIENT.LANDSCAPE)
new_section.orientation = WD_ORIENT.LANDSCAPE
new_section.page_width = Inches(11)
new_section.page_height = Inches(8.5)

Editing Existing Documents

python
from docx import Document

doc = Document("existing.docx")

# Find and replace text
for para in doc.paragraphs:
    for run in para.runs:
        if "OLD_TEXT" in run.text:
            run.text = run.text.replace("OLD_TEXT", "NEW_TEXT")

# Add content at the end
doc.add_heading('New Section', level=1)
doc.add_paragraph('Additional content appended to the document.')

# Modify styles
for para in doc.paragraphs:
    if para.style.name == 'Heading 1':
        for run in para.runs:
            run.font.color.rgb = RGBColor(0x1E, 0x27, 0x61)

doc.save("modified.docx")

Advanced: XML Editing Workflow

For complex modifications (TOC, footnotes, bookmarks, tracked changes) that python-docx can't handle, edit the raw XML:

bash
# Unpack
python scripts/office/unpack.py document.docx unpacked/

# Edit XML files in unpacked/word/ using the Edit tool
# Key files: document.xml, styles.xml, [Content_Types].xml

# Add comments
python scripts/comment.py unpacked/ 0 "Review this section"

# Repack
python scripts/office/pack.py unpacked/ output.docx

Key XML patterns

Tracked change (replace "30" with "60"):

xml
<w:r><w:t>The term is </w:t></w:r>
<w:del w:id="1" w:author="Claude" w:date="2025-01-01T00:00:00Z">
  <w:r><w:delText>30</w:delText></w:r>
</w:del>
<w:ins w:id="2" w:author="Claude" w:date="2025-01-01T00:00:00Z">
  <w:r><w:t>60</w:t></w:r>
</w:ins>
<w:r><w:t> days.</w:t></w:r>

Smart quotes in XML:

xml
<w:t>Here&#x2019;s a quote: &#x201C;Hello&#x201D;</w:t>

DXA unit reference

  • 1440 DXA = 1 inch
  • US Letter: 12240 x 15840 DXA
  • A4: 11906 x 16838 DXA

Conversion

bash
# .doc to .docx
python scripts/office/soffice.py --headless --convert-to docx document.doc

# .docx to PDF
python scripts/office/soffice.py --headless --convert-to pdf document.docx

# .docx to images
python scripts/office/soffice.py --headless --convert-to pdf document.docx
pdftoppm -jpeg -r 150 document.pdf page

# Accept all tracked changes (produces clean document)
python scripts/accept_changes.py input.docx clean.docx

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?

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', '.docx', or requests to produce professional documents with headings, tables of contents, page numbers, or letterheads. Also use for extracting content from .docx files, working with tracked changes, or converting content into a polished Word document.

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/sinaptik-ai/starpod/tree/main/crates/starpod/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?

Yes. It is published on GitHub by sinaptik-ai under the MIT license. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇