entity-memory-extraction ยท diff
git:20260507.44b06c0 to git:20260601.da7723a
66 added, 66 removed. Audit A to A.
- ---
- name: entity-memory-extraction
- description: Entity and fact extraction for user profiling and personalization
- allowed-tools:
- - Read
- - Write
- - Edit
- - Bash
- - Glob
- - Grep
- graph:
- domains: [domain:software-engineering]
- specializations: [specialization:ai-agents-conversational]
- skillAreas: [skill-area:natural-language-processing, skill-area:context-management]
- roles: [role:ml-engineer, role:backend-engineer]
- workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
-
- ---
-
- # 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
+ ---
+ name: entity-memory-extraction
+ description: Entity and fact extraction for user profiling and personalization
+ allowed-tools:
+ - Read
+ - Write
+ - Edit
+ - Bash
+ - Glob
+ - Grep
+ graph:
+ domains: [domain:software-engineering]
+ specializations: [specialization:ai-agents-conversational]
+ skillAreas: [skill-area:natural-language-processing, skill-area:context-management]
+ roles: [role:ml-engineer, role:backend-engineer]
+ workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
+
+ ---
+
+ # 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