cog-history

Retrieve and synthesize past conversations and memory items across domains.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/bketelsen/max --skill cog-history
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cog-history
Source: https://github.com/bketelsen/max/tree/main/skills/cog-history
Command: npx skills add https://github.com/bketelsen/max --skill cog-history

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cog History enables rapid recall and cross-document synthesis of past conversations and memory items, saving users time digging through archives.

Core Features & Use Cases

  • Recursive search across observations, entities, action-items, and glacier memory to locate relevant context.
  • Three-pass retrieval: grep, locate, and synthesize to build a coherent narrative from multiple files.
  • Use case: when a user asks 'what did I say about X?' or needs the history of a topic across sessions.

Quick Start

Ask me to summarize past discussions or locate specific memories across your notes.

Frequently Asked Questions about cog-history

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I recall past conversations and search memory across different domains?▼

To recall past conversations across domains, use a three-pass retrieval workflow that searches observations, entities, and memory items to locate and synthesize relevant context into a coherent narrative.

What is the best way to find the history of a topic across multiple sessions?▼

Finding the history of a topic across sessions requires recursive search across action-items and memory sources, using grep, locate, and synthesize passes to build a coherent narrative from multiple files.

Can I retrieve specific memories from glacier archival storage?▼

Yes, you can retrieve specific memories from glacier archival access by including glacier memory sources in the recursive search to locate context across past observations and entities.

How does cross-reference synthesis work when digging up context from past notes?▼

Cross-reference synthesis works by executing a three-pass retrieval workflow that searches across multiple files, using grep to locate matches, then synthesizing the fragments into a coherent narrative.

Do I need any external dependencies to perform cross-domain context recall?▼

No external dependencies are required to perform cross-domain context recall, as the three-pass retrieval workflow operates directly on available memory sources and glacier archival access.