An intelligent AI-driven tool that automatically analyzes, renames, and organizes PDF documents into a structured hierarchical library based on content.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-pdf-orgnizer
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 skill-pdf-orgnizer 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 Organizer Skill is a robust automation solution designed for developers, researchers, and professionals who manage large volumes of digital documents. By integrating Openclaw Skills with advanced AI models like GPT-3.5 or Kimi, it performs deep content analysis to extract essential metadata such as titles, authors, and journal names. This tool transforms a cluttered folder of nameless PDFs into a clean, searchable, and topic-based file system, significantly reducing the manual effort required for document archiving and library management.
pip install -r requirements.txt
config.json and configure your API provider and file paths:{
"openai_api_key": "your_api_key",
"input_folder": "input_pdfs/",
"output_folder": "organized_pdfs/",
"api_provider": "openai"
}
input_pdfs/ folder.python pdf_organizer.py
The PDF Organizer Skill manages data through a structured pipeline involving metadata extraction and file system manipulation.
| Component | Description |
|---|---|
| Input Source | Local directory containing unorganized PDF files. |
| Metadata Taxonomy | Extracted fields include Title, Author, Journal, and Topic. |
| Category Mapping | Files are mapped to standard categories (e.g., Business, Politics, Health). |
| File Convention | Standardized as Title_Author_Journal.pdf. |
| Output Hierarchy | [Output Folder]/[Category]/[Subtopic]/[Renamed_File].pdf |
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