| name | claude-remember |
| description | Review auto-memory entries and propose promotions across memory layers (project-level, user-level, shared). Also detects outdated, conflicting, and duplicate entries. Adaptable to any AI agent's memory hierarchy. |
| allowed-tools | ["Read","Write","Edit","Glob","Grep","AskUserQuestion"] |
| when_to_use | Use when the user wants to review, organize, or promote their auto-memory entries.
Trigger phrases: "review my memories", "organize memories", "promote to MEMORY.md",
"clean up memories", "memory review", "check for duplicate memories",
"what should go in MEMORY.md".
|
| argument-hint | [optional focus area or specific memory to review] |
Memory Review
Goal
Review the user's memory landscape and produce a clear report of proposed changes, grouped by action type. Do NOT apply changes — present proposals for user approval.
Memory File Locations
AI agent 的记忆系统通常分多个层级。执行本技能前,先确认当前运行环境的记忆层级:
- 项目级记忆: 存储于项目根目录下的记忆文件(如
MEMORY.md / CLAUDE.md / .cursorrules 等),所有协作者共享
- 用户级记忆: 存储于用户主目录下的全局记忆文件,跨项目共享个人偏好
- 运行日报: 每日追加的工作日志(如
YYYY-MM-DD.md)
- 自动记忆/云记忆: 系统自动维护的长期记忆(通常不可手动修改)
执行前先扫描: 使用 Glob/Grep 工具确认实际存在的记忆文件路径,不要假设固定的文件命名。
Steps
1. Gather all memory layers
Read all existing memory files from the locations above. Your auto-memory content is already in your system prompt — review it there. Note which team memory sections exist, if any.
Success criteria: You have the contents of all memory layers and can compare them.
2. Classify each auto-memory entry
For each substantive entry in auto-memory, determine the best destination:
| Destination | What belongs there | Examples |
|---|
| 项目 MEMORY.md | 项目级约定和规范,所有协作者应遵循 | "用 bun 不用 npm"、"API 路由使用 kebab-case"、"测试命令是 bun test" |
| 用户 MEMORY.md | 跨项目的用户个人偏好和习惯 | "偏好简洁回复"、"总是解释 trade-off"、"运行测试前不要提交" |
| 项目日报 | 每日工作日志,仅追加 | 当天完成的工作、技术选型、项目约定变更 |
| 保持在自动记忆 | 临时上下文、工作笔记、不明确归属的条目 | 会话特定观察、不确定的模式 |
Important distinctions:
- 记忆文件存储的是 AI 助手的指令,不包括用户对外部工具的偏好(编辑器主题、IDE 快捷键等)
- Workflow practices (PR conventions, merge strategies, branch naming) are ambiguous — ask the user whether they're personal or team-wide
- When unsure, ask rather than guess
Success criteria: Each entry has a proposed destination or is flagged as ambiguous.
3. Identify cleanup opportunities
Scan across all layers for:
- Duplicates: Auto-memory entries already captured in project or user memory files → propose removing from auto-memory
- Outdated: Memory entries contradicted by newer auto-memory entries → propose updating the older layer
- Conflicts: Contradictions between any two layers → propose resolution, noting which is more recent
Success criteria: All cross-layer issues identified.
4. Present the report
Output a structured report grouped by action type:
- Promotions — entries to move, with destination and rationale
- Cleanup — duplicates, outdated entries, conflicts to resolve
- Ambiguous — entries where you need the user's input on destination
- No action needed — brief note on entries that should stay put
If auto-memory is empty, say so and offer to review existing memory files for cleanup.
Success criteria: User can review and approve/reject each proposal individually.
Rules
- Present ALL proposals before making any changes
- Do NOT modify files without explicit user approval
- Do NOT create new files unless the target doesn't exist yet
- Ask about ambiguous entries — don't guess
- Use AskUserQuestion for clarifications when needed