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DocuClaw

Sovereign document intelligence & archival system. Extracts structured data from invoices, receipts, and contracts 100% locally using AI.

astonysh0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install astonysh/docuclaw

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

DocuClaw Skill

DocuClaw provides a sovereign data infrastructure for processing and archiving documents. It uses multimodal LLMs to extract structured information from scans, photos, and emails, storing everything in human-readable, version-controllable Markdown files.

Use Cases

  • Expense Management: Extract totals, taxes, and dates from receipts for tax filing.
  • Contract Analysis: Monitor expiration dates and renewal clauses in legal documents.
  • Sovereign Archival: Maintain a local-first, GDPR/GoBD compliant archive of all physical and digital mail.
  • Unified Querying: Ask questions about your document history without cloud exposure.

Key Features

  • 100% Local: Zero cloud dependency. Your private data never leaves your hardware.
  • Plug-and-Play Parsers: Extensible architecture for country-specific document formats.
  • AI-Powered: Supports Ollama, OpenAI Vision, or any multimodal model for intelligent extraction.
  • Markdown Schema: Normalizes all documents into a universal schema with YAML metadata.

Workflow Example

  1. Input: A PDF invoice or a photo of a receipt.
  2. Process: Run docuclaw process to trigger AI extraction.
  3. Archive: Document is saved to your local vault as YYYY/MM/filename.md.
  4. Action: The extracted data is synced to your calendar or accounting tool.

Integration

DocuClaw is designed to work seamlessly with the OpenClaw ecosystem, allowing AI agents to perform RAG (Retrieval-Augmented Generation) over your local document archive.

Source information

Source
github
Repository
openclaw/skills
Path
skills/astonysh/docuclaw
Version
—
Commit
56cb4dd4195e359db628eeeca4aade33eb909a0e
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# DocuClaw Skill

DocuClaw provides a sovereign data infrastructure for processing and archiving documents. It uses multimodal LLMs to extract structured information from scans, photos, and emails, storing everything in human-readable, version-controllable Markdown files.

## Use Cases

- **Expense Management**: Extract totals, taxes, and dates from receipts for tax filing.
- **Contract Analysis**: Monitor expiration dates and renewal clauses in legal documents.
- **Sovereign Archival**: Maintain a local-first, GDPR/GoBD compliant archive of all physical and digital mail.
- **Unified Querying**: Ask questions about your document history without cloud exposure.

## Key Features

- **100% Local**: Zero cloud dependency. Your private data never leaves your hardware.
- **Plug-and-Play Parsers**: Extensible architecture for country-specific document formats.
- **AI-Powered**: Supports Ollama, OpenAI Vision, or any multimodal model for intelligent extraction.
- **Markdown Schema**: Normalizes all documents into a universal schema with YAML metadata.

## Workflow Example

1. **Input**: A PDF invoice or a photo of a receipt.
2. **Process**: Run `docuclaw process` to trigger AI extraction.
3. **Archive**: Document is saved to your local vault as `YYYY/MM/filename.md`.
4. **Action**: The extracted data is synced to your calendar or accounting tool.

## Integration

DocuClaw is designed to work seamlessly with the OpenClaw ecosystem, allowing AI agents to perform RAG (Retrieval-Augmented Generation) over your local document archive.

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