Productivity Memory Management

Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base.

by @anthropics · Apache 2.0 New

What this skill does

Turn your AI assistant into a true workplace collaborator that instantly understands your internal shorthand, team nicknames, and project acronyms. You can issue quick commands like "ask Todd about the PSR" without explaining context, trusting the assistant to decode your meaning and execute tasks correctly. Use this to stop re-explaining your work environment and start getting accurate results from day one.

Anthropic · Productivity
view on github ↗

name: memory-management description: Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base. user-invocable: false

Memory Management

Memory makes Claude your workplace collaborator - someone who speaks your internal language.

The Goal

Transform shorthand into understanding:

User: "ask todd to do the PSR for oracle"
              ↓ Claude decodes
"Ask Todd Martinez (Finance lead) to prepare the Pipeline Status Report
 for the Oracle Systems deal ($2.3M, closing Q2)"

Without memory, that request is meaningless. With memory, Claude knows:

  • todd → Todd Martinez, Finance lead, prefers Slack
  • PSR → Pipeline Status Report (weekly sales doc)
  • oracle → Oracle Systems deal, not the company

Architecture

CLAUDE.md          ← Hot cache (~30 people, common terms)
memory/
  glossary.md      ← Full decoder ring (everything)
  people/          ← Complete profiles
  projects/        ← Project details
  context/         ← Company, teams, tools

CLAUDE.md (Hot Cache):

  • Top ~30 people you interact with most
  • ~30 most common acronyms/terms
  • Active projects (5-15)
  • Your preferences
  • Goal: Cover 90% of daily decoding needs

memory/glossary.md (Full Glossary):

  • Complete decoder ring - everyone, every term
  • Searched when something isn’t in CLAUDE.md
  • Can grow indefinitely

memory/people/, projects/, context/:

  • Rich detail when needed for execution
  • Full profiles, history, context

Lookup Flow

User: "ask todd about the PSR for phoenix"

1. Check CLAUDE.md (hot cache)
   → Todd? ✓ Todd Martinez, Finance
   → PSR? ✓ Pipeline Status Report
   → Phoenix? ✓ DB migration project

2. If not found → search memory/glossary.md
   → Full glossary has everyone/everything

3. If still not found → ask user
   → "What does X mean? I'll remember it."

This tiered approach keeps CLAUDE.md lean (~100 lines) while supporting unlimited scale in memory/.

File Locations

  • Working memory: CLAUDE.md in current working directory
  • Deep memory: memory/ subdirectory

Working Memory Format (CLAUDE.md)

Use tables for compactness. Target ~50-80 lines total.

# Memory

## Me
[Name], [Role] on [Team]. [One sentence about what I do.]

## People
| Who | Role |
|-----|------|
| **Todd** | Todd Martinez, Finance lead |
| **Sarah** | Sarah Chen, Engineering (Platform) |
| **Greg** | Greg Wilson, Sales |
→ Full list: memory/glossary.md, profiles: memory/people/

## Terms
| Term | Meaning |
|------|---------|
| PSR | Pipeline Status Report |
| P0 | Drop everything priority |
| standup | Daily 9am sync |
→ Full glossary: memory/glossary.md

## Projects
| Name | What |
|------|------|
| **Phoenix** | DB migration, Q2 launch |
| **Horizon** | Mobile app redesign |
→ Details: memory/projects/

## Preferences
- 25-min meetings with buffers
- Async-first, Slack over email
- No meetings Friday afternoons

Deep Memory Format (memory/)

memory/glossary.md - The decoder ring:

# Glossary

Workplace shorthand, acronyms, and internal language.

## Acronyms
| Term | Meaning | Context |
|------|---------|---------|
| PSR | Pipeline Status Report | Weekly sales doc |
| OKR | Objectives & Key Results | Quarterly planning |
| P0/P1/P2 | Priority levels | P0 = drop everything |

## Internal Terms
| Term | Meaning |
|------|---------|
| standup | Daily 9am sync in #engineering |
| the migration | Project Phoenix database work |
| ship it | Deploy to production |
| escalate | Loop in leadership |

## Nicknames → Full Names
| Nickname | Person |
|----------|--------|
| Todd | Todd Martinez (Finance) |
| T | Also Todd Martinez |

## Project Codenames
| Codename | Project |
|----------|---------|
| Phoenix | Database migration |
| Horizon | New mobile app |

memory/people/{name}.md:

# Todd Martinez

**Also known as:** Todd, T
**Role:** Finance Lead
**Team:** Finance
**Reports to:** CFO (Michael Chen)

## Communication
- Prefers Slack DM
- Quick responses, very direct
- Best time: mornings

## Context
- Handles all PSRs and financial reporting
- Key contact for deal approvals over $500k
- Works closely with Sales on forecasting

## Notes
- Cubs fan, likes talking baseball

memory/projects/{name}.md:

# Project Phoenix

**Codename:** Phoenix
**Also called:** "the migration"
**Status:** Active, launching Q2

## What It Is
Database migration from legacy Oracle to PostgreSQL.

## Key People
- Sarah - tech lead
- Todd - budget owner
- Greg - stakeholder (sales impact)

## Context
$1.2M budget, 6-month timeline. Critical path for Horizon project.

memory/context/company.md:

# Company Context

## Tools & Systems
| Tool | Used for | Internal name |
|------|----------|---------------|
| Slack | Communication | - |
| Asana | Engineering tasks | - |
| Salesforce | CRM | "SF" or "the CRM" |
| Notion | Docs/wiki | - |

## Teams
| Team | What they do | Key people |
|------|--------------|------------|
| Platform | Infrastructure | Sarah (lead) |
| Finance | Money stuff | Todd (lead) |
| Sales | Revenue | Greg |

## Processes
| Process | What it means |
|---------|---------------|
| Weekly sync | Monday 10am all-hands |
| Ship review | Thursday deploy approval |

How to Interact

Decoding User Input (Tiered Lookup)

Always decode shorthand before acting on requests:

1. CLAUDE.md (hot cache)     → Check first, covers 90% of cases
2. memory/glossary.md        → Full glossary if not in hot cache
3. memory/people/, projects/ → Rich detail when needed
4. Ask user                  → Unknown term? Learn it.

Example:

User: "ask todd to do the PSR for oracle"

CLAUDE.md lookup:
  "todd" → Todd Martinez, Finance ✓
  "PSR" → Pipeline Status Report ✓
  "oracle" → (not in hot cache)

memory/glossary.md lookup:
  "oracle" → Oracle Systems deal ($2.3M) ✓

Now Claude can act with full context.

Adding Memory

When user says “remember this” or “X means Y”:

  1. Glossary items (acronyms, terms, shorthand):

    • Add to memory/glossary.md
    • If frequently used, add to CLAUDE.md Quick Glossary
  2. People:

    • Create/update memory/people/{name}.md
    • Add to CLAUDE.md Key People if important
    • Capture nicknames - critical for decoding
  3. Projects:

    • Create/update memory/projects/{name}.md
    • Add to CLAUDE.md Active Projects if current
    • Capture codenames - “Phoenix”, “the migration”, etc.
  4. Preferences: Add to CLAUDE.md Preferences section

Recalling Memory

When user asks “who is X” or “what does X mean”:

  1. Check CLAUDE.md first
  2. Check memory/ for full detail
  3. If not found: “I don’t know what X means yet. Can you tell me?”

Progressive Disclosure

  1. Load CLAUDE.md for quick parsing of any request
  2. Dive into memory/ when you need full context for execution
  3. Example: drafting an email to todd about the PSR
    • CLAUDE.md tells you Todd = Todd Martinez, PSR = Pipeline Status Report
    • memory/people/todd-martinez.md tells you he prefers Slack, is direct

Bootstrapping

Use /productivity:start to initialize by scanning your chat, calendar, email, and documents. Extracts people, projects, and starts building the glossary.

Conventions

  • Bold terms in CLAUDE.md for scannability
  • Keep CLAUDE.md under ~100 lines (the “hot 30” rule)
  • Filenames: lowercase, hyphens (todd-martinez.md, project-phoenix.md)
  • Always capture nicknames and alternate names
  • Glossary tables for easy lookup
  • When something’s used frequently, promote it to CLAUDE.md
  • When something goes stale, demote it to memory/ only

What Goes Where

TypeCLAUDE.md (Hot Cache)memory/ (Full Storage)
PersonTop ~30 frequent contactsglossary.md + people/{name}.md
Acronym/term~30 most commonglossary.md (complete list)
ProjectActive projects onlyglossary.md + projects/{name}.md
NicknameIn Key People if top 30glossary.md (all nicknames)
Company contextQuick reference onlycontext/company.md
PreferencesAll preferences-
Historical/stale✗ Remove✓ Keep in memory/

Promotion / Demotion

Promote to CLAUDE.md when:

  • You use a term/person frequently
  • It’s part of active work

Demote to memory/ only when:

  • Project completed
  • Person no longer frequent contact
  • Term rarely used

This keeps CLAUDE.md fresh and relevant.

Install this Skill

Skills give your AI agent a consistent, structured approach to this task — better output than a one-off prompt.

npx skills add anthropics/knowledge-work-plugins --skill productivity
Download ZIP

Official Anthropic skill. Need a walkthrough? See the install guide →

Works with

No terminal needed — Claude.ai works by pasting the skill into custom instructions.

Details

License
Apache 2.0
Source file
show path productivity/skills/memory-management/SKILL.md
productivity memory-management knowledge-work-plugin