memory-management

Name: memory-management
Availability: InStock
Author: sun2443

Decode workplace shorthand into clear context using tiered memory lookups.

Updated Apr 8, 2026

Search Tags:#glossary #memory #acronym resolution #shorthand decoding #workplace collaboration #project codename mapping

Ready to run

npx skills add https://github.com/sun2443/designer-skills --skill memory-management-sun2443

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory-management
Source: https://github.com/sun2443/designer-skills/tree/main/productivity/skills/memory-management
Command: npx skills add https://github.com/sun2443/designer-skills --skill memory-management-sun2443

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents misunderstanding by translating internal shorthand—names, acronyms, nicknames, and project codenames—into clear, actionable workplace context.

Core Features & Use Cases

Two-tier memory architecture: uses a compact working-memory cache (CLAUDE.md) for fast decoding and a full deep-memory store (memory/) for comprehensive lookup.
Tiered lookup flow: decodes common terms first, falls back to a full glossary, and then pulls rich details for people and projects as needed.
Action-ready operational guidance: specifies exactly where working memory vs deep memory should be stored, and how to promote/demote items as they become stale.

Quick Start

Ask Claude to decode a message like "ask todd about the PSR for phoenix" and apply the resolved full names, acronyms, and project details to the next action.

Frequently Asked Questions about memory-management

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

FAQPage Schema

How do I decode workplace acronyms and project codenames for team collaboration?▼

Workplace shorthand decoding transforms nicknames, acronyms, and project codenames into executable context. It applies a tiered memory system using a hot cache for fast decoding and a deep memory directory for comprehensive lookup.

What is the best way to map internal nicknames to actionable project context?▼

Mapping internal nicknames to actionable context requires a tiered lookup flow that decodes common terms first, falls back to a full glossary, and then pulls rich details for people and projects as needed for task execution.

How do I set up a memory directory structure for resolving internal terminology?▼

Set up a two-tier memory architecture by creating a compact working-memory cache in CLAUDE.md for fast decoding and a full deep-memory store using directories like memory/glossary.md, people/, projects/, and context/ for comprehensive lookup.

What happens when a shorthand term is missing from the working memory cache?▼

When a shorthand term is missing from the cache, a deterministic lookup and escalation flow triggers. The system falls back to the deep memory directory to pull rich details for people and projects as needed.

How do I manage stale entries in a workplace glossary memory system?▼

Managing stale glossary entries requires specifying exactly where working memory versus deep memory should be stored. You promote or demote items between the hot cache and deep memory as they become stale or relevant.