relationship-extractor
CommunityExtract relationship data from messages.
Software Engineering#extraction#natural language processing#data structuring#contact management#relationship#butler
AuthorTzeusy
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automatically identifies and structures key relationship information from incoming messages, making it easy for the Relationship butler to manage contacts, interactions, and important life events.
Core Features & Use Cases
- Signal Identification: Detects and categorizes 8 types of relationship signals: contacts, interactions, life events, dates, facts, sentiments, gifts, and loans.
- Structured Output: Generates precise JSON extractions mapped to specific Relationship butler tools.
- Use Case: When a message says "I had coffee with Sarah yesterday, she mentioned her birthday is next week," this skill extracts Sarah as a contact, logs the coffee interaction, and records her upcoming birthday, all in a structured format ready for the butler.
Quick Start
Extract all relationship signals from the following message: "I met John at the conference, he said he's allergic to nuts and I owe him $20."
Dependency Matrix
Required Modules
None requiredComponents
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: relationship-extractor Download link: https://github.com/Tzeusy/butlers/archive/main.zip#relationship-extractor Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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