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cog-recollect

Search long-term memory and retrieve relevant context for current tasks.

1|Updated May 7, 2022
Search Tags:#context#knowledge management#recall#search#retrieval#memory
One-click install
npx skills add https://github.com/brandonburrus/dotfiles --skill cog-recollect
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cog-recollect
Source: https://github.com/brandonburrus/dotfiles/tree/main/.config/opencode/skills/cog-recollect
Command: npx skills add https://github.com/brandonburrus/dotfiles --skill cog-recollect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps retrieve relevant past information from long-term memory to inform current tasks, preventing repetitive work and leveraging prior knowledge.

Core Features & Use Cases

  • Memory Search: Finds relevant past sessions or knowledge based on a natural language query.
  • Contextual Recall: Surfaces key information from memory to aid in decision-making or task completion.
  • Use Case: When starting a complex debugging task, use this Skill to search for similar issues encountered previously, along with their solutions.

Quick Start

Search my memory for past discussions about optimizing Python code performance.

Frequently Asked Questions about cog-recollect

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

FAQPage Schema
How do I retrieve context from long-term memory for a current task?▼

To retrieve context from long-term memory, you query past sessions or knowledge using natural language. This surfaces relevant historical information to inform current decisions and prevent repetitive work.

What is the best way to search past decisions and solutions during debugging?▼

The best way to search past decisions is to query long-term memory with a natural language description of your current issue. It surfaces similar issues and their prior solutions to aid debugging.

Can I use natural language to recall past patterns from memory?▼

Yes, you can use natural language queries to recall past patterns from long-term memory. This allows you to find relevant past sessions and leverage prior knowledge for current tasks.

How does long-term memory search prevent repetitive work?▼

Long-term memory search prevents repetitive work by retrieving relevant past information and solutions. This allows you to leverage prior knowledge instead of solving previously encountered problems again.

When should I search my memory for past discussions?▼

You should search your memory for past discussions when starting complex tasks, making decisions, or encountering issues. This surfaces key historical information to aid in task completion.

Does recalling past context work for general knowledge management?▼

Yes, recalling past context works for general knowledge management by searching and retrieving relevant historical information. This targets scenarios requiring the recall of patterns, decisions, or solutions.

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