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memory-manager

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Standardized workflow for discovering, reading, writing, and compacting the project's memory file (memory.instructions.md) to persist context across AI chat sessions, with a permanent Knowledge Base for cross-session decisions and lessons learned.

tdd-spec-skills/.agents/skills/memory-manager/SKILL.md

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Oct 28, 2026
License
MIT

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<!-- markdownlint-disable -->

# Memory Manager Skill

## Overview

This skill provides a standardized protocol for managing the project's persistent memory file (`memory.instructions.md`). It ensures that AI agents can reliably save and restore context across chat sessions, regardless of which instruction directory the project uses. This skill is **agent-agnostic** — any agent in the ecosystem can invoke it.

The memory file is divided into **two distinct zones**:

1. **🧠 Knowledge Base** — A permanent section at the top that accumulates cross-session knowledge: architectural decisions, proven patterns, dead-ends with root causes, and key metrics. This section survives compaction and is never deleted.
2. **📝 Session Checkpoints** — Append-only entries at the bottom that track per-session progress. These are rotated during compaction, with valuable knowledge promoted to the Knowledge Base before deletion.

For performance, the active memory path can be recorded in the project's `AGENTS.md` file as a fast-path shortcut. See **AGENTS.md Integration** below for details.
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