memory-management

Maintain structured workplace memory with CLAUDE.md and memory directories.

7|Updated Feb 6, 2026

Search Tags:#knowledge management #personalization #memory #claude md #acronym decoding #workplace context

Ready to run

npx skills add https://github.com/Epiphytic/ai-plugin-translator --skill memory-management-epiphytic

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory-management
Source: https://github.com/Epiphytic/ai-plugin-translator/tree/main/packages/core/test/fixtures/regression-output/knowledge-work-plugins/productivity/skills/memory-management
Command: npx skills add https://github.com/Epiphytic/ai-plugin-translator --skill memory-management-epiphytic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of AI assistants lacking awareness of workplace-specific shorthand, acronyms, people, projects, and internal terminology, enabling more contextual collaboration.

Core Features & Use Cases

Two-Tier Memory System: Maintains a lightweight CLAUDE.md working memory and a deeper memory directory for scalable knowledge storage.
Context Decoding: Resolves nicknames, acronyms, project codenames, and internal language before taking action on user requests.
Use Case: Help a team member ask about "Todd and the PSR for Phoenix" by automatically mapping those references to the correct person, document, and project context.

Quick Start

Use the memory-management skill to set up a workplace knowledge system that helps me understand my team's names, terms, and projects.

Frequently Asked Questions about memory-management

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

FAQPage Schema

How do I make Claude remember workplace acronyms and project codenames?▼

You can resolve workplace acronyms and project codenames by using a memory management system that maintains structured knowledge bases of internal language. This Skill decodes shorthand by storing organizational context in a tiered memory architecture for reliable retrieval.

What is a CLAUDE.md file used for in AI context personalization?▼

A CLAUDE.md file provides lightweight working memory for AI context personalization, maintaining immediate workplace context for personalized assistant behavior. It functions as an accessible layer alongside a deeper memory directory for scalable organizational knowledge storage.

How do I set up a knowledge management system for team projects and internal terminology?▼

Setting up a knowledge management system for team projects requires building a tiered memory architecture with working context storage and searchable knowledge bases. This structure organizes people, projects, preferences, and internal terminology for accurate context retrieval.

Does this memory architecture support decoding shorthand references like nicknames and document codenames?▼

Yes, the memory architecture explicitly decodes shorthand references like nicknames, acronyms, and project codenames. It maps these internal language markers to the correct people, documents, and project contexts before taking action on user requests.

What's the best way to store detailed organizational information without hitting context limits?▼

Storing detailed organizational information without hitting context limits is best achieved through a two-tier memory system. A lightweight working memory handles immediate context, while a deeper memory directory provides scalable knowledge storage for extensive organizational files.

When do I need a tiered memory architecture for my AI assistant?▼

A tiered memory architecture is needed when AI collaboration involves heavy workplace-specific shorthand, acronyms, and internal terminology. It becomes necessary when scalable knowledge storage is required to maintain personalized assistant behavior across complex team projects.