A comprehensive automation toolkit for reading, writing, and converting Microsoft Office and PDF files through a streamlined CLI and Python API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install office-toolkit
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install office-toolkit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The office-toolkit is a versatile suite of tools designed to bridge the gap between AI coding agents and standard document formats. As a key component of the Openclaw Skills ecosystem, it provides developers and automated agents with the ability to programmatically interact with Word (DOCX), PowerPoint (PPTX), and Excel (XLSX) files, as well as PDFs.
Built on top of industry-standard libraries like python-docx, openpyxl, and pymupdf, this skill ensures high-fidelity document processing. Whether you need to extract data from a complex spreadsheet, generate a stylized report, or convert a presentation into a PDF for distribution, office-toolkit offers a unified interface to handle these tasks efficiently within your automation workflows.
To integrate this skill into your environment, install it via clawhub or use pip to manage dependencies:
# Install via clawhub
clawhub install office-toolkit
# Install all Python dependencies
pip install -r requirements/all.txt
You can also install specific modules if you only need support for certain formats, such as pip install -r requirements/docx.txt for Word support.
The office-toolkit skill organizes its operations through a structured directory and clear CLI inputs:
| Component | Description |
|---|---|
scripts/ |
Contains specialized CLI tools for each format (read, write, convert). |
lib/ |
Core logic and shared utilities for document validation and processing. |
requirements/ |
Modular dependency files (base, docx, pptx, xlsx, pdf). |
Read operations can output raw text or structured JSON data, while write operations accept arguments for titles, content, and data paths.
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