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claude-code development

Babysitter entity-memory-extraction

Entity and fact extraction for user profiling and personalization

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/ai-agents-conversational/skills/entity-memory-extraction" ~/.claude/skills/a5c-ai-babysitter-entity-memory-extraction && rm -rf "$T"

manifest: library/specializations/ai-agents-conversational/skills/entity-memory-extraction/SKILL.md

tags

#entity-extraction #user-profiling #memory-management #conversation-analysis #personalization

source 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