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agent-cma

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Extracts durable memories from conversations.

Data & Analytics#knowledge management#llm#data processing#conversation analysis#ollama#memory extraction
AuthorOrionArchitekton
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the process of identifying and extracting valuable information such as user preferences, past decisions, identified blockers, and future goals from conversational data.

Core Features & Use Cases

  • Memory Extraction: Leverages LLMs (Ollama/OpenAI) to parse conversation logs and identify key memory types.
  • Durable Memory Creation: Stores extracted information in a structured format for long-term recall and use.
  • Use Case: After a series of customer support interactions, this Skill can process the chat logs to automatically identify recurring issues (blockers), user feature requests (goals), and expressed likes/dislikes (preferences), creating a consolidated knowledge base.

Quick Start

Run the agent-cma skill to extract memories from today's conversation exports.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: agent-cma
Download link: https://github.com/OrionArchitekton/cosmocrat-core/archive/main.zip#agent-cma

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