A comprehensive PDF manipulation and automation toolkit for extracting data, generating reports, and managing document workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install document-pdf
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install document-pdf 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 PDF Processing Toolkit?
The PDF skill for Openclaw Skills provides a robust environment for programmatic interaction with PDF documents. Whether you need to parse complex tables using pdfplumber, generate professional-grade reports with reportlab, or perform basic file operations like merging and splitting via pypdf, this skill equips your AI agent with the necessary tools to handle high-volume document processing. It bridges the gap between raw document data and actionable insights by providing deep integration with both Python-based libraries and industry-standard command-line utilities.
This toolkit is designed for developers who need to move beyond simple document viewing and into the realm of document intelligence and automated generation. By leveraging this skill within Openclaw Skills, users can build sophisticated agents capable of understanding and manipulating one of the world's most common document formats with precision and scale.
PDF Processing Toolkit Use Cases
- Automating the extraction of financial data from PDF-based bank statements or invoices.
- Programmatically generating dynamic business reports and certificates from raw data.
- Merging multiple research papers or document fragments into a single consolidated file.
- Implementing OCR workflows to convert scanned documents into searchable text formats.
- Securing sensitive documents with password encryption and custom watermarking.
How PDF Processing Toolkit Works
- The agent identifies the PDF task requirements such as extraction, creation, or transformation.
- It selects the appropriate backend library based on the task (e.g., pdfplumber for tables, reportlab for generation).
- The skill executes Python scripts or CLI commands to perform the document operation efficiently.
- Extracted data is structured into usable formats like text strings, JSON, or Pandas DataFrames.
- Output files are generated, saved, or modified according to the user's specific document management workflow.
PDF Processing Toolkit Setup
To utilize these PDF capabilities within Openclaw Skills, ensure you have the required dependencies and system utilities installed:
pip install pypdf pdfplumber reportlab pytesseract pdf2image pandas
# For CLI tools on Debian/Ubuntu
sudo apt-get install poppler-utils qpdf
PDF Processing Toolkit Data Schema & Taxonomy
The PDF skill organizes document data through standard Python objects and structured file outputs:
| Component | Data Format | Description |
|---|---|---|
| Text Extraction | String | Raw or layout-preserved text content |
| Table Data | List of Lists / DataFrame | Structured row/column data extracted from pages |
| Metadata | Dictionary | Author, Title, Subject, and Creator tags |
| Images | JPG/PNG | Embedded assets extracted from the document |
| File Operations | Binary PDF | Generated or modified .pdf files |
PDF Processing Toolkit Advanced Features
- High-fidelity table extraction using pdfplumber with direct conversion to Excel or Pandas DataFrames.
- Automated OCR processing for scanned PDFs using pytesseract and pdf2image integration.
- Advanced document composition using ReportLab's Platypus for flowable complex layouts and headers.
- Multi-tool CLI support for high-performance merging and splitting via qpdf and poppler-utils.
- Secure document handling including decryption and granular user/owner password encryption.
SKILL.md
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