A comprehensive toolkit for AI agents to programmatically manipulate, extract data from, and generate high-quality PDF documents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install my-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 my-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 provides a robust suite of tools designed for automated document management within Openclaw Skills environments. It enables AI coding agents to perform complex tasks like extracting structured table data, merging multiple files, and generating professional reports from scratch using industry-standard libraries like pypdf and reportlab.
By bridging the gap between raw data and document formats, this skill ensures seamless document workflows for developers and automation pipelines. Whether you are dealing with digital-first PDFs or legacy scanned documents requiring OCR, these Openclaw Skills provide the necessary logic and libraries to handle documents at scale.
PDF Processing Toolkit Use Cases
- Automating the extraction of tabular data from financial statements or invoices for data analysis.
- Programmatically merging multiple research papers or reports into a single consolidated volume.
- Generating dynamic PDF invoices, certificates, or business reports using reportlab templates.
- Converting scanned documents into searchable text via OCR integration using pytesseract.
- Securing sensitive corporate documents with password protection and owner-level encryption.
How PDF Processing Toolkit Works
- The AI agent identifies the specific PDF task requested, such as reading metadata, writing new content, or modifying existing layouts.
- It selects the appropriate tool from the Openclaw Skills library, utilizing pypdf for basic operations or pdfplumber for complex data extraction.
- The skill processes the file using Python scripts or CLI commands to perform transformations like rotating pages, splitting documents, or adding watermarks.
- Extracted data is organized into structured formats like JSON or Pandas DataFrames, while newly generated documents are written to the file system.
- The final output is validated against metadata requirements or layout specifications to ensure professional accuracy.
PDF Processing Toolkit Setup
To get started with these Openclaw Skills, you must install the necessary Python libraries and system-level utilities for command-line processing.
pip install pypdf pdfplumber reportlab pytesseract pdf2image
sudo apt-get install poppler-utils qpdf
PDF Processing Toolkit Data Schema & Taxonomy
This skill handles both binary PDF files and extracted metadata through a structured taxonomy.
| Data Category | Description | Format |
|---|---|---|
| Document Metadata | Properties like Title, Author, Subject, and Creator | Key-Value Pairs |
| Tabular Data | Extracted structured data from tables | List of Lists / CSV |
| Visual Assets | Embedded images extracted from pages | JPEG / PNG |
| Form Data | Interactive fields and user-submitted data | FDF / JSON |
| Page Layouts | Coordinate-based text positioning | Text with Layout |
PDF Processing Toolkit Advanced Features
- OCR integration using pytesseract and pdf2image to process non-selectable text in scanned images.
- Multi-page report generation using the Platypus layout engine for complex document design.
- Command-line automation with qpdf and poppler-utils for high-speed batch processing of large file sets.
- Metadata manipulation and document encryption for maintaining enterprise-grade security standards.
- Advanced watermarking and page merging capabilities for professional document branding.
SKILL.md
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