Agent-Skills.md

Agent Skills: Entity Memory Extraction Skill

Entity and fact extraction for user profiling and personalization

UncategorizedID: a5c-ai/babysitter/entity-memory-extraction

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/entity-memory-extraction

Skill Files

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plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/entity-memory-extraction/SKILL.md

Skill Metadata

Name
entity-memory-extraction
Description
Entity and fact extraction for user profiling and personalization

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

  1. Named Entities: People, places, organizations
  2. User Preferences: Likes, dislikes, interests
  3. Facts: Stated information about user
  4. Temporal: Dates, events, schedules
  5. 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