document-receipt-logger

Log inbound documents and propose filing locations in legal workflows.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/venturecrane/ss-console --skill document-receipt-logger
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: document-receipt-logger
Source: https://github.com/venturecrane/ss-console/tree/main/operator/skills/document-receipt-logger
Command: npx skills add https://github.com/venturecrane/ss-console --skill document-receipt-logger

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the logging of inbound documents and proposes their filing location, ensuring documents are tracked and filed efficiently.

Core Features & Use Cases

  • Automated Logging: Automatically logs incoming documents against the right matter.
  • Filing Proposal: Proposes the filing location for each document.
  • Use Case: For a law firm, use this Skill to automatically log and propose where to file incoming documents, reducing manual work and ensuring no document is lost.

Quick Start

Run the 'document-receipt-logger' skill to automatically log and propose filing for incoming documents.

Frequently Asked Questions about document-receipt-logger

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate logging incoming legal documents and proposing filing locations?

To automate document receipt logging, this Skill processes inbound emails, matches incoming documents to the correct legal matter, and proposes a filing location within your storage system using Python scripts.

Can I use Smokeball and DocumentStorage connectors for automated legal document filing?

Yes, this Skill requires Smokeball and DocumentStorage connectors to retrieve inbound documents, match them to legal matters, and map proposed filing locations within your existing document storage environment.

Do I need Python3 installed to run the document receipt logger?

Yes, Python3 is required. The Skill relies on Python3 to execute scripts that process inbound documents, log them against the correct matter, and generate filing location proposals.

What is the best way to ensure no inbound legal documents are lost during filing?

The best way to prevent lost inbound legal documents is to automate logging. This Skill automatically tracks every incoming document against the right matter and proposes a filing location, eliminating manual entry errors.

How does automated document logging match incoming files to the right legal matter?

Automated document logging matches incoming files to the right legal matter by analyzing inbound document data against your Smokeball records. It then proposes the appropriate filing location within DocumentStorage.

Are there limitations when automating filing proposals for legal document management?

Limitations include dependencies on active Smokeball and DocumentStorage connectors plus a Python3 environment. The Skill proposes filing locations but requires these integrations to function correctly within your legal document management workflow.