A comprehensive Python-based utility for programmatically reading and editing Word, PDF, and Excel documents via a CLI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install doc-handler
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 doc-handler using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The doc-handler skill is a specialized tool designed to bridge the gap between AI agents and static document formats. By leveraging robust Python libraries such as python-docx, pdfplumber, and openpyxl, this skill allows for seamless interaction with DOCX, PDF, and XLSX files. It is an essential component for developers using Openclaw Skills who need to extract data from reports, update templates, or parse spreadsheets without manual intervention.
Built for speed and reliability, doc-handler provides a unified interface for document manipulation. Whether you are building an automated research assistant or a data entry bot, these Openclaw Skills ensure that your agent can understand and modify the most common document types used in professional environments.
To utilize doc-handler, you must install the necessary Python dependencies. These Openclaw Skills rely on specific libraries to handle various file encodings.
# Install required document processing libraries
pip install python-docx pdfplumber openpyxl pandas
After installation, you can verify the setup by running a read command on a sample document:
python3 -m doc_handler read docx sample.docx
The doc-handler skill organizes its operations based on file extensions and specific library integrations. The following table outlines the data handling structure within these Openclaw Skills:
| Document Type | Extension | Processing Engine |
|---|---|---|
| Word Document | .docx | python-docx |
| PDF File | pdfplumber | |
| Excel Sheet | .xlsx | openpyxl / pandas |
All extracted text is typically returned in a UTF-8 encoded string format to ensure compatibility with LLM context windows.
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