Memory Consolidation

Community

Extract durable knowledge from episodes.

AuthorTzeusy
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of retaining and structuring important information from ongoing conversations or events, preventing valuable insights from being lost.

Core Features & Use Cases

  • Knowledge Extraction: Identifies and categorizes new facts, updated information, and potential rules from provided text.
  • Fact Classification: Assigns a permanence level (permanent, stable, standard, volatile, ephemeral) to extracted facts, aiding in knowledge management.
  • Entity Resolution: Anchors extracted facts to known entities using provided UUIDs, ensuring a structured knowledge graph.
  • Use Case: After a series of project update meetings, this Skill can process the transcripts to extract key decisions, action items, and evolving project requirements, storing them in a structured, retrievable format.

Quick Start

Process the provided episode content to extract new facts and rules.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Memory Consolidation
Download link: https://github.com/Tzeusy/butlers/archive/main.zip#memory-consolidation

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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