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RockaRhymeLLC
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memory

Store and retrieve facts, preferences, and decisions using YAML frontmatter.

2|Updated Feb 22, 2026
Search Tags:#context#recall#memory#preferences#storage#facts
One-click install
npx skills add https://github.com/RockaRhymeLLC/kithkit --skill memory-rockarhymellc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory
Source: https://github.com/RockaRhymeLLC/kithkit/tree/main/.claude/skills/memory
Command: npx skills add https://github.com/RockaRhymeLLC/kithkit --skill memory-rockarhymellc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures your AI assistant remembers crucial information, preventing repetitive questions and maintaining context across conversations.

Core Features & Use Cases

  • Persistent Storage: Stores facts, preferences, and decisions in a structured, searchable format.
  • Contextual Awareness: Allows the AI to recall past information, improving efficiency and personalization.
  • Use Case: If a user has previously stated their preferred name or a specific technical setup, the AI can recall this information instantly using the memory skill, rather than asking again.

Quick Start

Add the fact that the user prefers dark mode to the memory.

Frequently Asked Questions about memory

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

FAQPage Schema
How do I make an AI assistant remember facts and preferences across conversations?▼

To store user preferences like dark mode, you instruct the AI to add the fact to its memory. The Skill then structures the data entry using YAML frontmatter, ensuring the preference is reliably saved for future contextual recall and conflict detection.

How does persistent context recall work for technical configurations?▼

Yes, you can use this approach for managing technical configurations and account details. It supports structured data entry and retrieval, allowing the AI to reliably recall specific technical setups and account information to personalize interactions without asking again.

Does this file-based memory system detect conflicts when storing new facts?▼

Yes, this file-based memory system detects conflicts when storing new facts. It supports reliable knowledge management by validating structured data entry against previously stored information, preventing contradictory facts from overwriting existing preferences or decisions.

What is the best way to store decisions so an AI can retrieve them later?▼

The best way to store decisions for later AI retrieval is using a structured file-based system with YAML frontmatter. This approach supports persistent storage and contextual awareness, allowing the AI to reliably recall past decisions and maintain conversational context.

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