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productivity-memory

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

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/frumu-ai/tandem/blob/HEAD/apps/tandem-desktop/src-tauri/resources/skill-templates/productivity-memory/SKILL.md

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Memory Management

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

The Goal

Transform shorthand into understanding:

User: "ask todd to do the PSR for oracle"
              ↓ AI 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, the AI knows:

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

Architecture

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

CONTEXT.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 CONTEXT.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 CONTEXT.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 CONTEXT.md lean (~100 lines) while supporting unlimited scale in memory/.

File Locations

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

Working Memory Format (CONTEXT.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           |