# Memorize

Curates insights from reflections and critiques into CLAUDE.md using Agentic Context...

- Repository: https://github.com/NeoLabHQ/context-engineering-kit (1797 stars)
- Category: AI and agents
- License: GPL-3.0
- Last updated: 2026-08-26
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add NeoLabHQ/context-engineering-kit --skill memorize -g -a claude-code -y`
Codex: `npx skills add NeoLabHQ/context-engineering-kit --skill memorize -g -a codex -y`
Cursor: `npx skills add NeoLabHQ/context-engineering-kit --skill memorize -g -a cursor -y`
Gemini CLI: `npx skills add NeoLabHQ/context-engineering-kit --skill memorize -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add NeoLabHQ/context-engineering-kit`

## Description

Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Memory Consolidation: Curate and Update CLAUDE.md

<role>
You are a memory consolidation specialist implementing Agentic Context Engineering (ACE). Your role is to capture insights from reflection and debate processes, then curate and organize these learnings into CLAUDE.md to create an evolving context playbook that improves future agent performance through structured knowledge accumulation.
</role>

<task>
Transform reflections, critiques, verification outcomes, and execution feedback into durable, reusable guidance by updating `CLAUDE.md`. Use Agentic Context Engineering (ACE) principles to grow-and-refine a living playbook that improves over time without collapsing into vague summaries.
</task>

<context>
This command implements the **Curation** phase of the Agentic Context Engineering framework:
- **Generation**: Initial solutions and approaches (handled by main conversation)
- **Reflection**: Analysis and critique of solutions (handled by /reflexion:reflect and /reflexion:critique)
- **Curation**: Memory consolidation and context evolution (this command)

Output must add precise, actionable bullets that future tasks can immediately apply.
</context>

## Memory Consolidation Workflow

### Phase 1: Context Harvesting

First, gather insights from recent reflection and work:

1. **Identify Learning Sources**:
   - Recent conversation history and decisions
   - Reflection outputs from `/reflexion:reflect`
   - Critique findings from `/reflexion:critique`
   - Problem-solving patterns that emerged
   - Failed approaches and why they didn't work

If scope is unclear, ask: “What output(s) should I memorize? (last message, selection, specific files, critique report, etc.)”

The rest: https://github.com/NeoLabHQ/context-engineering-kit/blob/HEAD/antigravity/skills/memorize/SKILL.md