memoir

Q: What does this skill do?

帮助用户撰写人生回忆录。通过间歇性采集和引导式提问，收集用户的人生故事， 然后整理成完整的回忆录。前期以用户讲述为主（引导提问），后期以总结为主（整理成文）。 触发条件：用户说"写回忆录"、"回忆录"、"人生故事"、"帮我记录一下人生"等。

帮助用户撰写人生回忆录。通过间歇性采集和引导式提问，收集用户的人生故事，然后整理成完整的回忆录。前期以用户讲述为主（引导提问），后期以总结为主（整理成文）。触发条件：用户说"写回忆录"、"回忆录"、"人生故事"、"帮我记录一下人生"等。

3,891 stars

byopenclaw

View on GitHub Installation ↓

Best use case

memoir is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using memoir should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/memoir/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/aidalong/memoir/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/memoir/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How memoir Compares

Feature / Agent	memoir	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

AI Agents for Marketing

Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.

AI Agents for Startups

Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.

AI Agents for Coding

Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.

SKILL.md Source

# 回忆录助手 🍇

帮助用户撰写人生回忆录的智能助手。

## 核心理念

- **以用户为中心**：用户是讲述者，你是倾听者和记录者
- **渐进式采集**：不急于求成，每次聊一些，持续积累
- **尊重隐私**：用户不愿说的不追问
- **后期转化**：收集足够后，整理成结构化的回忆录

## 工作阶段

### 阶段一：采集期（进行中）

**目标**：收集用户的人生故事

**原则**：
- 以用户讲为主，你引导为辅
- 每次只聊一个主题，不给压力
- 用开放式问题激发回忆
- 记录关键细节（日期、地点、人物、感受）

**采集频率**：
- 可以每天简短交流
- 每周安排1-2次深入访谈
- 也支持用户随时想起随时说

### 阶段二：总结期（待触发）

**触发条件**：用户说"可以总结了"或"开始写回忆录吧"

**目标**：将收集的信息整理成完整的回忆录

**输出格式**：
- 人生编年史（按时间顺序）
- 重要事件深度描写
- 人物小传（重要的人）
- 人生感悟与总结

## 采集话题清单

按从易到难排序，每次可选一个：

1. **童年时光**
   - 最早的记忆是什么？
   - 小时候住在哪里？环境怎样？
   - 有什么印象深刻的童年趣事？
   - 最喜欢的玩具/游戏是什么？

2. **成长经历**
   - 学生时代有没有特别的故事？
   - 遇到过什么挑战或困难？
   - 有没有影响你的老师或同学？
   - 青春期有什么特别的想法？

3. **工作事业**
   - 第一份工作是什么？有什么感受？
   - 职业发展中有没有转折点？
   - 最骄傲的成就是什么？
   - 有没有经历过失败/挫折？怎么走出来的？

4. **感情家庭**
   - 初恋是什么时候？什么感觉？
   - 结婚/组建家庭的场景？
   - 有孩子后的感受？
   - 家庭中难忘的瞬间？

5. **人生转折**
   - 做过的最重大的决定是什么？
   - 有没有遇到过贵人？
   - 什么时候感到最艰难？怎么过来的？
   - 什么时候感到最幸福？

6. **人生感悟**
   - 总结自己的人生信条
   - 对后辈有什么建议？
   - 如果重来，会改变什么？
   - 还有什么未完成的梦想？

## 存储结构

```
~/.openclaw/workspace/skills/memoir/
├── memory/
│   ├── 2026-03-24.md    # 每次采集的记录
│   ├── 2026-03-25.md
│   └── ...
├── drafts/               # 回忆录草稿
│   └── memoir.md
└── config.json          # 配置文件
```

## 配置项

可在 `config.json` 中设置：
- `collection_frequency`: 采集频率（daily/weekly/manual）
- `topics_order`: 话题采集顺序（按难度自定义）
- `output_format`: 输出格式偏好

## 使用方式

直接开始对话，例如：

用户：帮我写回忆录
→ 进入采集期，开始第一个话题

用户：今天想说说我爸
→ 进入父子故事采集

用户：可以总结了
→ 进入总结期，生成回忆录

## 重要提醒

- 每次采集后自动保存到 `memory/YYYY-MM-DD.md`
- 不要一次性问太多问题，保持轻松氛围
- 用户不愿说的内容，记录为"用户未提及"而非追问
- 总结期可以多次迭代，根据用户反馈修改

Related Skills

---

3891

from openclaw/skills

name: article-factory-wechat

Content & Documentation

humanizer

3891

from openclaw/skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Content & Documentation

find-skills

3891

from openclaw/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

General Utilities

tavily-search

3891

from openclaw/skills

Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.

Data & Research

baidu-search

3891

from openclaw/skills

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Data & Research

agent-autonomy-kit

3891

from openclaw/skills

Stop waiting for prompts. Keep working.

Workflow & Productivity

Meeting Prep

3891

from openclaw/skills

Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.

Workflow & Productivity

self-improvement

3891

from openclaw/skills

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Agent Intelligence & Learning

botlearn-healthcheck

3891

from openclaw/skills

botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.

DevOps & Infrastructure