docx-tools for Openclaw

A local, high-performance toolkit for Word document processing, featuring seamless DOCX/Markdown conversion and automated multi-chapter integration.

jirboy
v1.0.0
Apr 17, 2026
0
823
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install docx-tools

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install docx-tools using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is docx-tools?

docx-tools is a robust document management utility designed for developers and researchers who need to manipulate Word files without the overhead of Microsoft Word. As part of the Openclaw Skills ecosystem, it provides a purely local execution environment, ensuring that sensitive data like grant applications or academic papers never leave your machine. It excels at bridging the gap between Markdown-based writing workflows and formal DOCX submission requirements.

By leveraging the power of python-docx, this skill allows users to extract structured content, apply consistent styling, and automate the assembly of complex documents. Whether you are batch-processing a folder of manuscripts or converting a technical blog post into a professional report, docx-tools offers a reliable and programmatic approach to document engineering.

docx-tools Use Cases

  • Integrating multiple grant application chapters into a single cohesive document with consistent formatting.
  • Converting technical documentation from Markdown to Word for official stakeholder submissions.
  • Batch extracting text and metadata from hundreds of DOCX files for data analysis or archiving.
  • Automating the generation of academic papers using predefined templates and custom styles.

How docx-tools Works

  1. Task Identification: The skill analyzes the user request to determine if the goal is reading, writing, converting, or integrating documents.
  2. Validation: It verifies the existence of target files and checks for necessary local permissions within the Openclaw Skills sandbox.
  3. Processing Engine: Depending on the task, it uses python-docx to parse document XML or a Markdown parser to map styles to Word paragraphs.
  4. Formatting Application: It applies specified fonts, heading levels, and table structures as defined in the input or template.
  5. Output Generation: The processed data is saved to the designated local path, maintaining structural integrity and privacy.

docx-tools Setup

To use this tool within the Openclaw Skills framework, ensure you have Python 3.8+ installed and run the following command to install the required dependencies:

pip install python-docx markdown

docx-tools Data Schema & Taxonomy

The skill organizes data using a structured JSON-like taxonomy for document elements and supports standard file system mapping:

Component Description
paragraphs List of objects containing 'text' and 'style' (e.g., Heading 1, Normal)
tables Structured data representing rows and cells from document tables
metadata Document properties including author, creation date, and core attributes
sections Configuration list for merging multiple files, defining order and titles

docx-tools Advanced Features

  • Template-based Generation: Use existing DOCX files as style templates for Markdown conversions to ensure brand consistency.
  • Smart Chapter Merging: Automatically insert page breaks and unify disparate styles across multiple source documents into one master file.
  • Local-Only Sandbox: Operates entirely without internet access, making it a primary choice for high-security Openclaw Skills implementations.
  • Font & Style Injection: Programmatically override default fonts (like SimSun for Chinese characters) and font sizes during the writing process.

SKILL.md


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