A sovereign document intelligence and archival system that extracts structured data from files 100% locally using AI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install docuclaw
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 docuclaw 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 DocuClaw?
DocuClaw is a robust, local-first document intelligence system designed to provide a sovereign data infrastructure for sensitive information. By leveraging multimodal LLMs, it transforms physical scans, photos, and digital files into structured, human-readable Markdown files. As a standout entry among Openclaw Skills, it prioritizes privacy by ensuring that your private data never leaves your hardware while still providing the high-level intelligence required for modern data processing.
The system is built for users who require GoBD or GDPR compliant archiving without relying on cloud-based processing. Whether you are managing personal finances or corporate contracts, DocuClaw normalizes all document types into a universal schema, making your history easily searchable and version-controllable.
DocuClaw Use Cases
- Automating expense management by extracting totals, taxes, and dates from receipts for tax filing.
- Monitoring contract lifecycles by identifying expiration dates and renewal clauses in legal documents.
- Building a local-first, sovereign archive of all physical and digital mail for long-term storage.
- Enabling unified querying and RAG (Retrieval-Augmented Generation) over a private document history without cloud exposure.
How DocuClaw Works
- Ingest files by providing a PDF invoice, an email attachment, or a photo of a physical receipt.
- Execute the processing command to trigger the AI-powered extraction engine.
- Analyze the document using local multimodal models to identify key metadata fields and content.
- Archive the result into a local vault using a structured file hierarchy (YYYY/MM/filename.md).
- Sync the structured YAML metadata to external accounting tools or calendars for automated action.
DocuClaw Setup
To get started with this skill, ensure you have the core environment ready and run the following commands:
# Install the DocuClaw skill via the CLI
openclaw install docuclaw
# Initialize your local document vault
docuclaw init ./my-sovereign-archive
# Process your first document using the local AI engine
docuclaw process ./path/to/document.pdf
DocuClaw Data Schema & Taxonomy
DocuClaw organizes data into a clean, predictable structure designed for longevity and interoperability with other Openclaw Skills.
| Component | Format | Description |
|---|---|---|
| Storage Path | YYYY/MM/filename.md |
Chronological file organization. |
| Metadata | YAML Frontmatter | Contains extracted fields like vendor, date, amount, and tax. |
| Body | Markdown | Includes the full text extraction and AI-generated summary. |
| Taxonomy | Tags | Customizable tags for filtering (e.g., #invoice, #contract). |
DocuClaw Advanced Features
- Zero cloud dependency ensuring 100% local processing for maximum data sovereignty.
- Support for multiple AI backends including Ollama, OpenAI Vision, and other multimodal LLMs.
- Plug-and-play parser architecture that allows for custom, country-specific document formatting.
- Native integration with the Openclaw Skills ecosystem for advanced RAG and multi-agent workflows.
- Extensible YAML schema for normalizing diverse document types into a single queryable database.
SKILL.md
Loading
Related Openclaw Skills
DeepReader
A high-performance web and social media reader that converts URLs into AI-ready Markdown without requiring external API keys.
DeepBook CLI Skill
A powerful command-line interface for end-to-end DeepBook operations including market data, account management, and on-chain execution.
Quality Convergence Engine
A multi-dimensional engine that deconstructs requirements into objective acceptance and failure criteria to eliminate implementation defects.
Portainer
Manage Docker infrastructure and git-based stacks through the Portainer REST API using simple CLI commands or AI agent interactions.
OpenClaw Reference Manual
A complete technical reference for managing OpenClaw configurations, CLI operations, and multi-channel AI agent deployments.
Smart Intent Router Skill
An intelligent model dispatching system that uses multi-dimensional analysis to route requests to the most efficient AI model based on complexity and cost.
Featured*
