A comprehensive document processing engine enabling AI agents to read, parse, and extract intelligence from multi-format files.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install document-skill
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 document-skill 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 Document Skill?
Document Skill is a powerful extension designed for the Openclaw Skills ecosystem that empowers AI agents with the ability to handle complex document workflows. It bridges the gap between raw unstructured files and actionable AI intelligence by providing deep parsing capabilities for PDF, DOCX, and PPT formats. Whether you are dealing with encrypted files, complex tables, or multi-document merging, this skill ensures your AI agent can synthesize information with human-like precision.
By integrating this skill, developers can automate the ingestion of industry reports, competitive analysis, and academic papers. It goes beyond simple text extraction by offering specialized features like image asset recovery, hyperlink extraction, and automated table data structured for downstream analytics. This makes it an essential component for any automated research or data processing pipeline using Openclaw Skills.
Document Skill Use Cases
- Extracting structured data and tables from financial PDF reports.
- Summarizing core arguments and key findings from academic papers or industry whitepapers.
- Converting PPT presentations into structured text for content repurposing.
- Auditing documents for spelling errors, word counts, and metadata consistency.
- Merging content from multiple document formats into a single unified intelligence report.
- Automating the extraction of images and hyperlinks for digital asset management.
How Document Skill Works
- The AI agent identifies a request involving a document (e.g., 'summarize this PDF' or 'extract tables from this DOCX').
- Document Skill is triggered to initialize the appropriate parser based on the file extension.
- The skill performs a deep scan of the document structure, identifying headers, paragraphs, tables, and embedded media.
- Metadata such as page titles and word counts are calculated alongside the primary content extraction.
- The parsed data is structured into a clean format and returned to the AI agent for synthesis or final output generation.
Document Skill Setup
To integrate this capability into your environment, ensure your agent is configured to recognize the Openclaw Skills library. Install the document processing dependencies via your terminal:
# Install the document-skill package
openclaw install document-skill
# Ensure dependencies for PDF and DOCX parsing are present
pip install unstructured[pdf,docx,ppt]
Configure your skill manifest to point to the document-skill entry point to enable automatic triggering during document-related tasks.
Document Skill Data Schema & Taxonomy
Document Skill organizes processed information into a structured schema to ensure consistency across different file types:
| Attribute | Description | Data Type |
|---|---|---|
content |
The primary text extracted from the document | String |
tables |
Array of extracted tabular data | JSON Array |
metadata |
Includes page count, word count, and author info | Object |
assets |
List of extracted images and hyperlinks | Array |
toc |
Automatically generated Table of Contents | List |
Document Skill Advanced Features
- Support for encrypted and password-protected document reading.
- Multi-document content merging and cross-referencing capabilities.
- Automated document repair for corrupted or poorly formatted files.
- Integrated content translation and spelling check modules.
- High-fidelity table and image asset extraction for data science workflows within Openclaw Skills.
SKILL.md
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