An intelligent PDF processing tool that extracts text, formulas, and tables from complex documents using the MinerU API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-pdf-reader
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 smart-pdf-reader using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Smart PDF Reader is a sophisticated document analysis tool designed to bridge the gap between static PDF files and actionable AI context. As part of the Openclaw Skills library, it utilizes the mineru-open-api to handle everything from simple text documents to complex, multi-column academic papers and scanned archives. This skill empowers AI agents to read, summarize, and extract data with high precision, supporting both fast token-free extraction and deep OCR-based processing.
By integrating this skill, developers can automate the ingestion of technical reports, financial statements, and research papers. The skill is optimized for the Openclaw Skills framework, ensuring that extracted Markdown is perfectly formatted for LLM consumption, whether the source is a digital PDF or a low-quality scan requiring advanced formula detection.
To get started with this component of Openclaw Skills, install the MinerU CLI tool globally:
npm install -g mineru-open-api
Ensure your agent has the necessary permissions to execute bash commands and access the file system for document processing.
The Smart PDF Reader organizes its output into structured directories to ensure data persistence and easy retrieval within the Openclaw Skills workflow.
| Feature | Specification |
|---|---|
| Output Directory | ~/MinerU-Skill/<name>_<hash>/ |
| Output Format | Structured Markdown (.md) |
| Extraction Modes | Flash (stdout), Precision (file-based), VLM (Layout-aware) |
| Asset Handling | Extracted images and tables are stored alongside the Markdown file |
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