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DocuClaw

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

astonysh0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install astonysh/docuclaw

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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.

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/astonysh/docuclaw
Version
—
Commit
56cb4dd4195e359db628eeeca4aade33eb909a0e
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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