Overview
- Skill Key
- astonysh/docuclaw
- Author
- astonysh
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/astonysh/docuclaw
- Latest Commit SHA
- 56cb4dd4195e359db628eeeca4aade33eb909a0e
Sovereign document intelligence & archival system. Extracts structured data from invoices, receipts, and contracts 100% locally using AI.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 DocuClaw 技能。 若已安装,则直接安装 DocuClaw 技能。
# 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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