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fact-extraction

Community

Map relationships and enrich knowledge.

Software Engineering#knowledge graph#memory management#conversational AI#fact extraction#entity resolution#relationship mapping
AuthorTzeusy
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the process of identifying, resolving, and storing factual information about people and organizations mentioned in conversations, ensuring a consistent and accurate knowledge base.

Core Features & Use Cases

  • Entity Resolution: Accurately identifies and disambiguates mentions of people and organizations.
  • Fact Storage: Extracts and stores relationship-based facts (e.g., "works at", "friend of") and property-based facts (e.g., "birthday", "preference").
  • Use Case: When a user mentions "Sarah started at Google," this Skill will identify "Sarah" and "Google" as entities, store the "works at" relationship, and log the event for future reference.

Quick Start

Use the fact-extraction skill to process the message "John and Lisa are siblings."

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: fact-extraction
Download link: https://github.com/Tzeusy/butlers/archive/main.zip#fact-extraction

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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