A comprehensive toolkit for programmatic PDF manipulation, including text extraction, merging, splitting, and OCR capabilities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pdfssssssss
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 pdfssssssss 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 Skill?
The PDF processing skill is a robust suite of tools designed for developers and AI agents to handle complex document workflows. It leverages powerful Python libraries like pypdf, pdfplumber, and reportlab, alongside industry-standard CLI utilities such as qpdf and poppler-utils. Whether you are building automated reporting systems or data extraction pipelines, this Openclaw Skills extension provides the necessary logic to interact with PDF files at a granular level.
From basic file operations like rotating pages and merging multiple documents to advanced tasks like extracting tabular data into Excel or performing OCR on scanned images, this skill covers the full lifecycle of PDF management. It ensures high-fidelity output and provides specialized handling for technical nuances, such as XML markup for subscripts and superscripts in generated reports.
PDF Processing Skill Use Cases
- Merging multiple research papers or invoices into a single unified document.
- Extracting complex tables from financial statements and converting them into structured Pandas DataFrames.
- Automating the creation of branded PDF reports with custom watermarks and metadata.
- Performing OCR on scanned legal documents to make them searchable and indexable.
- Protecting sensitive information by programmatically encrypting PDFs with user and owner passwords.
How PDF Processing Skill Works
- The AI agent identifies a PDF-related request, such as a command to read, edit, or generate a file.
- The skill selects the optimal tool based on the task: pypdf for file manipulation, pdfplumber for data extraction, or reportlab for document generation.
- For scanned documents, the workflow triggers an OCR sequence, converting pages to images before running pytesseract for text recognition.
- The skill processes the pages, applying rotations, watermarks, or security settings as specified.
- The final output is written to the file system, and relevant metadata or extracted data is returned to the user.
PDF Processing Skill Setup
To utilize the full capabilities of this Openclaw Skills module, install the necessary Python dependencies and system utilities:
# Install Python libraries
pip install pypdf pdfplumber reportlab pytesseract pdf2image pandas
# Install system CLI tools (Debian/Ubuntu)
sudo apt-get install poppler-utils qpdf tesseract-ocr
PDF Processing Skill Data Schema & Taxonomy
The skill organizes PDF data and metadata using the following structures:
| Data Type | Description | Key Fields/Formats |
|---|---|---|
| Metadata | Internal document properties | Title, Author, Subject, Creator |
| Text Content | Extracted string data | Plain text or Layout-preserved text |
| Tables | Structured data arrays | Row-major lists or Pandas DataFrames |
| Images | Extracted visual assets | JPG or PNG via pdfimages prefix |
| Forms | Interactive elements | See FORMS.md for field mapping |
PDF Processing Skill Advanced Features
- Multi-page report generation using the Platypus layout engine for complex document flow.
- Intelligent table extraction that distinguishes between empty cells and structured data for Excel exports.
- Advanced page rotation and decryption using qpdf for high-performance CLI processing.
- XML markup support within Paragraph objects to handle chemical formulas and mathematical notations (subscripts/superscripts).
- Automated watermark merging to apply security or branding layers across massive document sets.
SKILL.md
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