entity-memory-extraction

From babysitter

411

Description

Entity and fact extraction for user profiling and personalization

AI Summary

Extracts entities and facts from conversations to build user profiles for personalized interactions.

Install

Run in your terminal

npx claudepluginhub a5c-ai/babysitter

Tool Access

This skill is limited to using the following tools:

ReadWriteEditBashGlobGrep

Supporting Assets

View in Repository

README.md

Skill Content

Entity Memory Extraction Skill

Capabilities

Extract entities from conversations
Build and update user profiles
Track preferences and facts
Implement entity disambiguation
Design entity relationship graphs
Configure extraction rules and schemas

Target Processes

long-term-memory-management
conversational-persona-design

Implementation Details

Extraction Types

Named Entities: People, places, organizations
User Preferences: Likes, dislikes, interests
Facts: Stated information about user
Temporal: Dates, events, schedules
Relationships: Connections between entities

Configuration Options

Extraction model selection
Entity schema definition
Confidence thresholds
Update policies
Storage backend

Best Practices

Define clear entity schemas
Handle entity conflicts
Implement confidence scoring
Regular profile validation
Privacy considerations

Dependencies

langchain
spacy (optional)
Custom extraction models

Links

GitHub Stats

21 forks

Updated 1 month ago

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