A comprehensive automation suite for reading, extracting, merging, and manipulating PDF documents through AI-driven workflows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install martin-pdf
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 martin-pdf using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The PDF skill is a versatile powerhouse designed to handle the entire lifecycle of PDF documents within the Openclaw Skills ecosystem. Whether you are dealing with complex data extraction from tables or performing high-fidelity OCR on scanned documents, this skill provides the underlying intelligence to make PDF files searchable, editable, and actionable.
Built for developers and creative teams, it bridges the gap between static documents and dynamic workflows. By integrating this into your environment, you gain the ability to automate tedious tasks such as page rotation, form filling, and document encryption, all while leveraging high-level AI capabilities for content analysis and creative production.
To integrate this PDF capability into your local environment, use the following command:
skillboss install pdf
Ensure your Openclaw Skills configuration has the necessary permissions for the document_processing and chat APIs to enable full automation features.
The skill manages document metadata and file structures to ensure data integrity across operations:
| Attribute | Description |
|---|---|
skill_id |
Unique identifier (pdf) |
capabilities |
OCR, extraction, merging, splitting, encryption |
metadata |
Includes category tags, subcategories, and SEO keywords |
output_format |
Supports .pdf, extracted text, and structured JSON data |
Loading
A professional AI agent skill for programmatic Meta Ads campaign management, enabling automated creation, optimization, and performance tracking.

A comprehensive skill for managing the General Lake Model (GLM) to simulate vertical water temperature and mixing dynamics.

A specialized tool for adjusting General Lake Model physical parameters to minimize error between simulated and observed water temperatures.

A specialized tool for processing GLM NetCDF simulation results and validating thermal profiles against field observations.

A specialized skill for programmatically fetching USGS streamflow, gage height, and discharge measurements using Python.

A definitive guide and rule-set for building high-performance React and Next.js applications based on Vercel Engineering standards.








































