caduceus-auto-save

Extracts and saves person-related information to the Caduceus core memory system.

1|Updated Feb 2, 2026

Search Tags:#knowledge base #crm #personal assistant #information capture #contact management #relationship mapping

Ready to run

npx skills add https://github.com/HermeticOrmus/hermetic-claude --skill caduceus-auto-save

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: caduceus-auto-save
Source: https://github.com/HermeticOrmus/hermetic-claude/tree/main/claude/skills/caduceus-auto-save
Command: npx skills add https://github.com/HermeticOrmus/hermetic-claude --skill caduceus-auto-save

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the capture and storage of crucial person-related information, preventing valuable contact details and relationship dynamics from being lost in conversation.

Core Features & Use Cases

Automatic Detection: Identifies mentions of names, roles, contact information, and organizational/interpersonal relationships.
Structured Data Extraction: Extracts specific fields like name, role, organization, contact, relationships, responsibilities, expertise, and notes.
Core Memory Integration: Saves extracted information into a persistent knowledge base (Caduceus) for future reference.
Use Case: When discussing a new business contact, the skill automatically saves their name, title, company, and how they were met, ensuring you can recall this information later without searching through chat logs.

Quick Start

Save the person information for Isa Derteano, who is the Head of Marketing at ALQVEMENTS, to Caduceus.

Frequently Asked Questions about caduceus-auto-save

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

FAQPage Schema

How do I automatically save contact information and relationship details during a conversation?▼

To automatically save contact information, this skill detects names, roles, and organizational relationships, then extracts them into a structured schema before saving to a core memory system. It requires specific extraction schema adherence and confirmation steps for accurate data ingestion.

What is the best way to capture professional networking data for future reference without manual entry?▼

Capturing professional networking data is handled by automatic detection of person-related information like names, titles, and companies during discussions. The extracted details are saved into a persistent knowledge base, preventing valuable contact dynamics from being lost in chat logs.

Can I use this for CRM-like data capture and organizational mapping?▼

Yes, you can use this for CRM-like data capture and organizational mapping. It scopes include professional networking and relationship mapping, automatically identifying interpersonal relationships and saving them alongside contact details to your core memory system.

How do I extract specific fields like expertise and responsibilities when saving a new contact?▼

To extract specific fields like expertise and responsibilities, the skill applies a structured data extraction schema to the detected person-related information. It captures name, role, organization, contact, relationships, responsibilities, expertise, and notes for comprehensive ingestion.

Does saving contact information require confirmation before storing it in the knowledge base?▼

Yes, saving contact information requires confirmation steps for accurate data ingestion into the persistent knowledge base. This ensures the structured data extraction adheres to the specific schema before committing the person-related details to core memory.