memory-management

Decodes shorthand and acronyms into actionable context using tiered memory lookups.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/lilbom32/ketnoitrithuc --skill memory-management-lilbom32
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-management
Source: https://github.com/lilbom32/ketnoitrithuc/tree/main/.claude/skills/productivity/1.1.0/skills/memory-management
Command: npx skills add https://github.com/lilbom32/ketnoitrithuc --skill memory-management-lilbom32

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Memory management decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would.

Core Features & Use Cases

  • Hot cache CLAUDE.md for quick decoding of the most-used terms and people
  • Full memory glossary, plus per-entity profiles (memory/people, memory/projects)
  • Tiered lookup flow from CLAUDE.md to memory for deeper context and retrieval

Quick Start

Ask Claude to translate a shorthand request into a full, actionable instruction using memory management.

Frequently Asked Questions about memory-management

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

FAQPage Schema
How do I decode enterprise chat acronyms and nicknames into actionable context?

To decode enterprise chat acronyms and nicknames into actionable context, this Skill resolves internal shorthand, project names, and internal language so Claude understands requests like a colleague would, preserving context across conversations.

How does tiered lookup work for resolving internal project names and shorthand?

The tiered lookup flow resolves shorthand by checking the CLAUDE.md hot cache first, then querying a memory glossary, and finally retrieving deeper context from per-entity profiles stored in memory/projects and memory/people.

Can I update the glossary and personal profiles for ongoing context learning?

Yes, you can update glossaries and personal or project entries for ongoing learning, ensuring that newly introduced acronyms and nicknames are saved to memory for accurate future context retrieval and decoding.

What is the best way to preserve context across enterprise chat conversations?

The best way to preserve context across enterprise chat conversations is to translate shorthand requests into full, actionable instructions using a memory glossary and per-entity profiles for people and projects.

Does memory management require a hot cache for quick term decoding?

A CLAUDE.md hot cache is used for quick decoding of the most-used terms and people, serving as the first tier in the lookup flow before falling back to the broader memory glossary and entity profiles.

When should I not use a shorthand decoding approach for task execution?

Shorthand decoding for task execution may be unnecessary for conversations strictly using standard terminology without internal acronyms, project names, or nicknames that require contextual resolution to a memory glossary.