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Claude remember

Skill renky1025/agent-skills/claude-remember

a kinds of skills can run in any agents, totally free.

Install
npx -y skills add renky1025/agent-skills --skill claude-remember

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  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

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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 Also detects outdated, conflicting, and duplicate entries.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.

SKILL.md

4.2 KB, as published. Nobody here has run it

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:

  1. 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
  2. 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
  3. 运行日报: 每日追加的工作日志(如 YYYY-MM-DD.md
  4. 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:

DestinationWhat belongs thereExamples
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:

  1. Promotions — entries to move, with destination and rationale
  2. Cleanup — duplicates, outdated entries, conflicts to resolve
  3. Ambiguous — entries where you need the user's input on destination
  4. 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

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.