
Memorize
This is the curation phase of Agentic Context Engineering. After you run reflections and critiques, memorize consolidates those learnings into CLAUDE.md as concrete, actionable bullets. It's designed to fight context collapse by enforcing specificity: you get imperative rules, API gotchas, anti-patterns with evidence, and verification checklists instead of vague summaries. The skill walks you through harvesting insights from recent work, categorizing by impact, then placing them in structured sections like Architecture Decisions or Hard Rules. Think of it as building a living playbook that actually helps future sessions instead of just documenting what happened. Works best when you feed it real reflection outputs rather than raw chat logs.
- skills.sh installs
- 1.3K
- GitHub stars
- 1.8K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add neolabhq/context-engineering-kit --skill memorize --agent claude-codeInstalls into .claude/skills of the current project.
Files
Memory Consolidation: Curate and Update CLAUDE.md
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. 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. 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.
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Details
- Repository
- github.com/neolabhq/context-engineering-kit
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026
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