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memory_landscape_review

Use when the user wants to review auto-memory, promote durable instructions into CLAUDE.md or local memory, and clean up duplicates or conflicts.

作者: admin | 来源: ClawHub
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ClawHub
版本
V 1.0.0
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memory_landscape_review

# Memory Landscape Review Use this skill to review project memory, local memory, and auto-memory together. ## Workflow 1. Gather repo memory files and current auto-memory context. 2. Classify each entry as repo-wide, personal, team-wide, or temporary. 3. Detect duplicates, conflicts, and outdated instructions. 4. Present a grouped report before making any changes. 5. Only apply promotions or cleanup after explicit approval. ## Guardrails - Propose first, edit second. - Do not guess when an instruction might be personal vs shared. - Keep transient notes out of durable memory files. ## Example Requests - Review my auto-memory and tell me what belongs in durable memory. - Find duplicate or conflicting instructions across memory layers. ## Inputs - Repo memory files - Auto-memory state - User preference for shared vs local memory ## Outputs - Promotion proposals - Conflict cleanup report - No-change recommendations ## Success Criteria - Durable memory candidates are identified clearly. - Duplicates and stale entries are surfaced. - No edits happen before approval. ## Non-Goals - Silently editing memory files - Guessing personal vs shared intent when ambiguous ## Source Provenance Derived from `src/skills/bundled/remember.ts`.

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 memory-landscape-review-1775883608 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 memory-landscape-review-1775883608 技能

通过命令行安装

skillhub install memory-landscape-review-1775883608

下载 Zip 包

⬇ 下载 memory_landscape_review v1.0.0

文件大小: 2.01 KB | 发布时间: 2026-4-12 10:34

v1.0.0 最新 2026-4-12 10:34
Initial extraction from local Claude Code source

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