entity-memory-extraction
Entity and fact extraction for user profiling and personalization
npx skills add a5c-ai/babysitter --skill entity-memory-extraction --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Capabilities
- Target Processes
- Implementation Details
- Extraction Types
- Configuration Options
- Best Practices
- Dependencies
What does the entity-memory-extraction skill do?
Entity and fact extraction for user profiling and personalization
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill entity-memory-extraction --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.