A high-performance PDF-to-Markdown extraction tool supporting OCR, formulas, and complex table layouts via the MinerU API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mineru-pdf-extractor
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 mineru-pdf-extractor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The MinerU PDF Extractor is a versatile community-driven skill designed to bridge the gap between static PDF documents and LLM-ready structured data. By leveraging the MinerU API, this tool excels at recognizing complex elements like mathematical formulas, nested tables, and scanned text via high-quality OCR. Whether you are building a RAG pipeline or a research assistant, this addition to your Openclaw Skills library provides a robust way to ingest document intelligence.
The skill offers two distinct workflows: a multi-step local file upload for private documents and a streamlined two-step process for online URLs. It is built for developers who need precision and speed when converting academic papers, technical manuals, or business reports into clean Markdown format.
Ensure you have an API key from MinerU and that curl and unzip are installed on your system. These tools are fundamental to the operation of Openclaw Skills in this category.
# Set your authentication token
export MINERU_TOKEN="your_api_token_here"
# Optional: Install jq for better JSON handling
# sudo apt-get install jq
Navigate to the scripts directory to begin using the provided automation utilities.
The skill organizes output into a structured directory for every processed document, ensuring compatibility with other Openclaw Skills that require structured input:
| File | Description |
|---|---|
| full.md | The primary Markdown output containing text, formulas, and table data. |
| images/ | A subdirectory containing all graphical elements extracted from the PDF. |
| content_list.json | A structured JSON representation of the document hierarchy. |
| layout.json | Detailed metadata regarding the document layout and coordinates. |
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