Auto-sync: 2026-04-17 16:17
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wiki/concepts/Last-30-Days-Skill.md
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wiki/concepts/Last-30-Days-Skill.md
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---
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title: "Last 30 Days Skill"
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type: concept
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tags: [openclaw, skill, market-research, reddit, twitter]
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last_updated: 2026-04-17
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---
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## Aliases
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- Last 30 Days
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- Last 30 Days skill
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- last30days-skill
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## Definition
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Matt Van Horn 开发的 OpenClaw skill,可获取指定主题在过去 30 天内 Reddit 和 X(Twitter)上的用户讨论、抱怨和功能请求。
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## Functionality
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- 搜索指定主题的 Reddit 帖子和评论
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- 搜索 X(Twitter)上关于该主题的推文
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- 汇总真实用户的痛点、抱怨和功能需求
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- 排序:按频率排名最常见的用户痛点
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## Use Cases
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- 市场研究:发现用户未满足的需求
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- 竞品分析:了解用户对竞品的抱怨
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- 产品创意:识别产品机会
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- 内容创作:获取用户关心的热门话题
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## Connected Pages
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- [[market-research-product-factory]]
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## Source
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- GitHub: https://github.com/mvanhorn/last30days-skill/
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23
wiki/concepts/MVP.md
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wiki/concepts/MVP.md
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---
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title: "MVP"
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type: concept
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tags: [product-development, entrepreneurship, lean-startup]
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last_updated: 2026-04-17
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---
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## Aliases
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- Minimum Viable Product
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- 最小可行产品
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## Definition
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用最少的资源构建一个能够验证核心产品假设的版本。MVP 关注的是验证市场需求,而非功能完整性。
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## Key Principles
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- 只构建核心功能
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- 快速验证假设
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- 最小化时间成本
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- 获取真实用户反馈
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## Connected Pages
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- [[market-research-product-factory]]
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- [[Market-Research]]
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28
wiki/concepts/Market-Research.md
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wiki/concepts/Market-Research.md
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---
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title: "Market Research"
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type: concept
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tags: [market-research, product-development, entrepreneurship]
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last_updated: 2026-04-17
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---
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## Definition
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通过系统化收集和分析用户反馈、市场趋势、竞品信息来识别产品机会和用户需求的过程。
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## Key Activities
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- 用户痛点收集
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- 竞品分析
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- 市场规模评估
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- 用户需求验证
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## Traditional Methods
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- 问卷调查
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- 用户访谈
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- 焦点小组
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- 论坛和社交媒体浏览
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## AI-Enhanced Approach
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使用 Last 30 Days skill 等工具自动挖掘 Reddit 和 X 上的真实用户讨论,获取未经过滤的用户情绪数据。
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## Connected Pages
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- [[market-research-product-factory]]
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- [[Last-30-Days-Skill]]
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29
wiki/concepts/Preference-Learning.md
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wiki/concepts/Preference-Learning.md
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---
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title: "Preference Learning"
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type: concept
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tags: [ai, personalization, machine-learning]
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last_updated: 2026-04-17
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---
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## Definition
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AI Agent 通过与用户交互逐渐学习并记住用户偏好,用于持续优化内容筛选和推荐结果。
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## How It Works
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1. 初始交互:用户设定偏好规则(如"不包含表情包""喜欢技术类内容")
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2. 反馈收集:每次呈现结果后询问用户是否满意
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3. 规则更新:根据用户反馈调整偏好规则
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4. 持续优化:随着时间推移,筛选结果越来越符合用户需求
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## Use Cases
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- [[Daily Reddit Digest]]:学习用户感兴趣的子版块和内容类型
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- [[Custom Morning Brief]]:根据用户阅读习惯调整新闻优先级
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- 内容推荐系统:个性化推荐引擎的核心机制
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## Connections
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- [[Task Automation]] ← enables ← [[Preference Learning]]
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- [[Context Memory]] ← stores ← [[Preference Learning]]
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- [[Cron Jobs]] ← schedules ← [[Preference Learning]]
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## References
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- 通过 Memory 目录存储用户偏好规则
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- 每次交互后更新规则,形成反馈循环
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wiki/concepts/Proactive-Recommendations.md
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wiki/concepts/Proactive-Recommendations.md
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---
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title: "Proactive Recommendations"
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type: concept
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tags: [ai-agent, automation, task-automation]
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sources: [custom-morning-brief]
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last_updated: 2026-04-17
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---
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## Summary
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AI Agent 主动思考并推荐可以自主完成的任务,而非被动等待用户指令。
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## Definition
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AI Agent 基于上下文分析,主动推荐并执行对用户有价值 tasks 的能力。
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## Why Powerful
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- 将 AI 从被动工具转化为主动助手
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- 利用 AI 不间断运行的特点,在夜间也能产生价值
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- 减少用户早晨的认知负担
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## Key Mechanism
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1. Agent 分析用户的任务列表、日程、上下文
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2. 识别可以自动完成的任务
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3. 生成推荐并说明可以完成的原因
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4. 用户确认后执行
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## Connection to Morning Brief
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在 Custom Morning Brief 中,AI 推荐任务是最有价值的功能模块,让用户起床时发现工作已经完成。
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## Connections
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- [[Agentic AI]] ← enables ← [[Proactive Recommendations]]
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- [[Morning Brief]] ← includes ← [[Proactive Recommendations]]
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- [[Task Automation]] ← extends ← [[Proactive Recommendations]]
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wiki/entities/Alex-Finn.md
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wiki/entities/Alex-Finn.md
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---
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title: "Alex Finn"
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type: entity
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tags: [person, creator, youtube]
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last_updated: 2026-04-17
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---
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## Aliases
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- Alex Finn
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## Description
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YouTube 视频创作者,关于 OpenClaw 生活改变用例视频的作者,启发了很多用户发现 OpenClaw 的能力。
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## Role
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内容创作者
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## Connection to OpenClaw
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Alex Finn 的视频启发了 Market Research & Product Factory 工作流的创建。
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## Connected Pages
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- [[market-research-product-factory]]
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wiki/entities/ClawdTalk.md
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wiki/entities/ClawdTalk.md
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---
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title: ClawdTalk
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type: entity
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tags: [AI Agent, Telephony, OpenClaw]
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last_updated: 2026-04-17
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aliases: []
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---
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## Definition
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ClawdTalk 是一个连接 OpenClaw 与电话网络的客户端工具,使 OpenClaw 能够接收和拨打电话,将任何手机转变为 AI 助手的网关。
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## Role
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- 桥梁:将 OpenClaw 的 AI 能力通过电话语音的方式暴露给用户
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- 语音网关:实现 hands-free 的 AI 访问
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## Key Features
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- 接收和拨打电话
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- 语音交互:用户可通过电话与 AI Agent 对话
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- SMS 支持(即将推出)
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## Related Links
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- [ClawdTalk Website](https://clawdtalk.com)
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- [ClawdTalk GitHub](https://github.com/team-telnyx/clawdtalk-client)
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wiki/entities/Reddit.md
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wiki/entities/Reddit.md
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---
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title: "Reddit"
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type: entity
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tags: [social-media, news-aggregator, community]
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last_updated: 2026-04-17
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---
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## Aliases
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- Reddit
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## Description
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社交新闻聚合网站,用户可以在子版块(subreddit)中发布、投票和评论内容。
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## Role in Project
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- 作为信息源,为 AI Agent 提供热门内容获取能力
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- 用于市场研究、趋势追踪、痛点挖掘等场景
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## Key Features
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- 子版块(Subreddit):按主题分类的社区
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- 帖子类型:Hot(热门)、New(最新)、Top(热榜)
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- 只读 API:支持无需认证的内容获取
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## Connections
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- [[Daily Reddit Digest]] ← uses ← [[Reddit]]
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- [[Market Research & Product Factory]] ← uses ← [[Reddit]](痛点挖掘)
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- [[Last-30-Days-Skill]] ← extracts ← [[Reddit]](用户痛点数据)
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## References
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- reddit-readonly skill:用于只读访问 Reddit 的 AI Agent skill
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wiki/entities/Telnyx.md
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wiki/entities/Telnyx.md
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---
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title: Telnyx
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type: entity
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tags: [Telephony, API, Voice]
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last_updated: 2026-04-17
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aliases: []
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---
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## Definition
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Telnyx 是一个提供电话连接服务的 API 平台,为 ClawdTalk 提供可靠的电话 connectivity,支持语音通话和 SMS 功能。
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## Role
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- 电话服务提供商:为 AI 语音代理提供电话基础设施
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- 语音 API:支持电话呼入呼出
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## Related Links
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- [Telnyx API](https://telnyx.com/)
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@@ -1,19 +1,15 @@
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## Sources
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- [Multi-Channel Assistant](sources/multi-channel-assistant.md) — AI 助手通过多渠道整合实现任务、日程、消息和提醒的统一管理
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## Overview
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- [Overview](overview.md) — 知识库总览
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## Sources
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- [Multi-Channel Assistant](sources/multi-channel-assistant.md) — AI 助手通过多渠道整合实现任务、日程、消息和提醒的统一管理
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- [Custom Morning Brief](sources/custom-morning-brief.md) — AI Agent 定时发送自动化早间简报(新闻、待办、任务推荐)
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- [Daily Reddit Digest](sources/daily-reddit-digest.md) — AI Agent 定时从 Reddit 热门子版块获取热门帖子并生成每日摘要
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- [Health & Symptom Tracker](sources/health-symptom-tracker.md) — AI Agent 自动追踪食物和症状的工作流
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- [Self-Healing Home Server & Infrastructure Management](sources/self-healing-home-server-infrastructure-management.md) — AI Agent 作为家庭基础设施的自动化运维代理(OpenClaw、cron 作业、自愈修复、安全审计)
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- [AI-Powered Earnings Tracker](sources/ai-powered-earnings-tracker.md) — AI Agent 自动追踪科技公司财报的工作流(Cron Jobs、Telegram 推送)
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- [N8N Full Tutorial Building AI Agents in 2025 for Beginners!](sources/n8n-full-tutorial-building-ai-agents-in-2025-for-beginners.md) — N8N 平台构建 AI Agent 的入门教程(节点类型、工具集成、记忆机制)
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- [Multi-Agent Content Factory](sources/multi-agent-content-factory.md) — 在 Discord 中构建多 Agent 内容工厂,实现研究→写作→设计自动化流水线
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- [Dataview——让我从"笔记黑洞"里逃出来的 Obsidian 神器](sources/Dataview-让我从-笔记黑洞-里逃出来的-Obsidian-神器-1.md) — 微信公众号「赫点茶」分享的 Dataview 插件使用体验,让笔记真正"活"起来
|
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- [为什么你的笔记总是乱糟糟?试试这个方法,彻底告别信息混乱!](sources/bi-ji-zheng-li-fang-fa-ga-bie-hun-luan.md) — 微信公众号「赫点茶」分享的笔记整理方法
|
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- [开发经验与项目规范整理文档](sources/kai-fa-jing-yan-yu-xiang-mu-gui-fan-zheng-li-wen-dang.md) — 软件开发经验与项目规范整理(变量名维护、文件结构、编码规范、架构原则)
|
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@@ -95,19 +91,15 @@
|
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- [MCP在Cursor中的集成与应用详解](sources/MCP-zai-Cursor-zhong-de-ji-cheng-yu-ying-yong-xiang-jie.md) — 在 Cursor IDE 中集成和使用 MCP(Modal Context Protocol)协议的教程
|
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- [使用Claude自动生成N8N工作流的实操教程](sources/使用Claude自动生成N8N工作流的实操教程.md) — 利用 Claude AI 助手自动生成 n8n 工作流的实操教程(n8n-mcp 集成、Opensea 模型配置)
|
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- [万字保姆级教程,让你90天跑通"一人公司"模式(附AI提示词)](sources/万字保姆级教程-让你90天跑通一人公司模式-附AI提示词.md) — 通过找到个人优势实现一人公司模式的方法论(天才地带自检、Ikigai交集、产品体系搭建)
|
||||
|
||||
- [Multi-Agent Specialized Team (Solo Founder Setup)](sources/multi-agent-team.md) — Solo founder 通过多 Agent specialized team 实现高效工作模式(角色定义、共享内存、Telegram 控制、定时任务)
|
||||
|
||||
- [Event Guest Confirmation](sources/event-guest-confirmation.md) — AI Agent 自动外呼确认活动宾客出席(SuperCall、Twilio、GPT-4o Realtime)
|
||||
|
||||
- [Podcast Production Pipeline](sources/podcast-production-pipeline.md) — 多 Agent 协同的播客生产流水线,将录制前研究、脚本、Show Notes、社交媒体素材、SEO 描述等 70% 非创意性工作自动化
|
||||
|
||||
- [Automated Meeting Notes & Action Items](sources/meeting-notes-action-items.md) — AI Agent 自动将会议转录转化为结构化笔记,并在项目管理工具(Jira、Linear、Todoist)中创建任务
|
||||
|
||||
- [Daily YouTube Digest](sources/daily-youtube-digest.md) — AI Agent 自动从订阅频道获取视频并生成每日摘要的工作流
|
||||
|
||||
- [Project State Management System](sources/project-state-management.md) — 事件驱动系统替代 Kanban 看板,通过数据库存储项目状态和历史事件,AI Agent 自然语言交互追踪进度
|
||||
|
||||
- [Phone-Based Personal Assistant](sources/phone-based-personal-assistant.md) — 基于电话的AI个人助理,通过语音与OpenClaw交互(ClawdTalk、Telnyx)
|
||||
- [Market Research & Product Factory](sources/market-research-product-factory.md) — AI 辅助创业自动化流水线(Last 30 Days、Reddit/X 痛点挖掘、MVP 构建)
|
||||
- [Inbox De-clutter](sources/inbox-declutter.md) — Newsletter 邮件自动化整理与摘要生成(Cron Jobs、用户反馈优化)
|
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## Entities
|
||||
- [营销人张飞宇](entities/营销人张飞宇.md) — 微信公众号作者,专注于个人品牌、商业变现方法论
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||||
- [Mac Mini](entities/Mac-Mini.md) — Apple Mac Mini M4 主控节点,内网 IP 192.168.3.189
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||||
@@ -181,6 +173,7 @@
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- [Cloudflare](entities/Cloudflare.md) — CDN、DNS 和无服务器云服务提供商
|
||||
- [Appinn](entities/Appinn.md) — 小众软件分享网站
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||||
- [AITmpl](entities/AITmpl.md) — Claude Code 模板资源网站,提供 Skills/Agents/MCP 模板
|
||||
- [Alex Finn](entities/Alex-Finn.md) — YouTube 创作者,关于 OpenClaw 用例视频的作者
|
||||
- [RustDesk](entities/RustDesk.md) — 开源远程桌面软件,支持多平台远程控制
|
||||
- [GDM3](entities/GDM3.md) — GNOME Display Manager,Ubuntu 的登录管理器
|
||||
- [OpenCode](entities/OpenCode.md) — 开源 AI 编程助手,支持终端、桌面、IDE 三种使用形态
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||||
@@ -201,6 +194,7 @@
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||||
- [DB Folder](entities/DB-Folder.md) — Obsidian 数据库文件夹插件
|
||||
- [Homepage](entities/Homepage.md) — Obsidian 主页插件
|
||||
- [File Explorer Note Count](entities/File-Explorer-Note-Count.md) — Obsidian 文件管理器笔记计数插件
|
||||
- [Reddit](entities/Reddit.md) — 社交新闻聚合网站,提供子版块热门帖子获取能力
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||||
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||||
## Concepts
|
||||
- [systemd-logind](concepts/systemd-logind.md) — systemd 登录管理器,处理电源管理事件
|
||||
@@ -224,7 +218,8 @@
|
||||
- [Reality](concepts/Reality.md) — 无 TLS 特征的 TLS 伪装协议
|
||||
- [Agentic AI](concepts/Agentic-AI.md) — 具备自主决策和任务执行能力的 AI 系统
|
||||
- [Self-Healing Systems](concepts/Self-Healing-Systems.md) — 主动检测异常并自动修复的系统
|
||||
- [ITSM](concepts/ITSM.md) — IT 服务管理,从工单系统演进为战略推动者
|
||||
- [Last-30-Days-Skill](concepts/Last-30-Days-Skill.md) — Matt Van Horn 开发的 Reddit/X 研究技能,获取过去 30 天用户痛点
|
||||
- [Market-Research](concepts/Market-Research.md) — 通过用户反馈和数据分析识别产品机会的过程
|
||||
- [Policy-as-Code](concepts/Policy-as-Code.md) — 策略即代码,自动化安全策略执行和持续合规审计
|
||||
- [Hyperautomation](concepts/Hyperautomation.md) — 超级自动化,AI/ML 驱动的端到端流程自动化
|
||||
- [AI-driven RCA](concepts/AI-driven-RCA.md) — AI 驱动的根因分析
|
||||
@@ -234,6 +229,7 @@
|
||||
- [Compliance Enforcement](concepts/Compliance-Enforcement.md) — 自动化确保系统符合安全合规要求
|
||||
- [AI ChatOps](concepts/AI-ChatOps.md) — 通过协作平台与 AI 交互进行故障排除
|
||||
- [Multi-Tenant Management](concepts/Multi-Tenant-Management.md) — SaaS 多租户自动化管理
|
||||
- [MVP](concepts/MVP.md) — 最小可行产品,用最少的资源验证核心产品假设
|
||||
- [What-If Simulations](concepts/What-If-Simulations.md) — AI 辅助的决策支持模拟
|
||||
- [AI-powered Runbooks](concepts/AI-powered-Runbooks.md) — AI 驱动的运维手册推荐
|
||||
- [Cloud Security](concepts/Cloud-Security.md) — 保护云环境中的数据、应用程序和基础设施免受威胁的安全措施
|
||||
@@ -349,6 +345,7 @@
|
||||
- [销售漏斗](concepts/销售漏斗.md) — 获客→激活→转化的客户转化路径
|
||||
- [工作流自动化](concepts/工作流自动化.md) — 预定义自动化流程,与 AI Agent 互补
|
||||
- [上下文记忆](concepts/上下文记忆.md) — AI Agent 保留对话历史的能力
|
||||
- [Preference Learning](concepts/Preference-Learning.md) — AI Agent 通过交互学习用户偏好,持续优化内容筛选
|
||||
- [N8N 节点](concepts/N8N-节点.md) — N8N 平台的基本构建单元(触发器、操作、工具、代码、高级 AI)
|
||||
- [Agent Chain](concepts/Agent-Chain.md) — 多个 Agent 串联工作,各自负责不同阶段的流水线架构
|
||||
- [Pre-Recording Research](concepts/Pre-Recording-Research.md) — 录制前的准备工作,包括嘉宾背景研究和话题深度挖掘
|
||||
|
||||
43
wiki/log.md
43
wiki/log.md
@@ -1,3 +1,19 @@
|
||||
## [2026-04-17] ingest | Inbox De-clutter
|
||||
- Source file: raw/Agent/usecases/inbox-declutter.md
|
||||
- Status: ✅ 成功摄入
|
||||
- Summary: Newsletter 邮件自动化整理与摘要生成,通过 Cron Jobs 定时读取过去 24 小时的 newsletter,AI Agent 提取核心要点并根据用户反馈持续优化摘要质量
|
||||
- Concepts created: (已有 Cron Jobs、上下文记忆)
|
||||
- Entities created: (已有 OpenClaw)
|
||||
- Source page: wiki/sources/inbox-declutter.md
|
||||
- Notes: 与 Custom Morning Brief 形成互补关系;Newsletter 隔离策略使用专属邮箱
|
||||
- Source file: raw/Agent/usecases/custom-morning-brief.md
|
||||
- Status: ✅ 成功摄入
|
||||
- Summary: AI Agent 定时发送自动化早间简报,覆盖新闻研究、待办提取、创意输出(完整草稿)、AI 推荐任务,让用户起床直接开始高效工作
|
||||
- Concepts created: Proactive Recommendations
|
||||
- Entities created: (已有 OpenClaw、Alex Finn、Todoist)
|
||||
- Source page: wiki/sources/custom-morning-brief.md
|
||||
- Notes: 与 Morning Briefing(系统监控类)区分;完整草稿而非仅想法是核心价值
|
||||
|
||||
## [2026-04-17] ingest | Multi-Channel Assistant
|
||||
- Source file: raw/Agent/usecases/multi-channel-assistant.md
|
||||
- Status: ✅ 成功摄入
|
||||
@@ -793,7 +809,14 @@
|
||||
- Source page: wiki/sources/multi-agent-content-factory.md
|
||||
- Notes: 与 Podcast Production Pipeline 概念关联;扩展 Agent Chain 应用场景
|
||||
|
||||
## [2026-04-17] ingest | Event Guest Confirmation
|
||||
## [2026-04-17] ingest | Phone-Based Personal Assistant
|
||||
- Source file: raw/Agent/usecases/phone-based-personal-assistant.md
|
||||
- Status: ✅ 成功摄入
|
||||
- Summary: 基于电话的AI个人助理,让任何手机通过语音与OpenClaw交互,解决无需智能手机应用或浏览器即可访问AI助手的需求,适用于开车、步行等双手被占用场景
|
||||
- Entities created: ClawdTalk, Telnyx
|
||||
- Concepts created: (已有 Voice Agent)
|
||||
- Source page: wiki/sources/phone-based-personal-assistant.md
|
||||
- Notes: 与现有 OpenClaw entity 关联;与 Event Guest Confirmation 形成语音交互场景对比(电话 vs 外呼)
|
||||
- Source file: raw/Agent/usecases/event-guest-confirmation.md
|
||||
- Status: ✅ 成功摄入
|
||||
- Summary: AI Agent 自动外呼确认活动宾客出席,使用 SuperCall 语音代理逐个呼叫宾客,收集出席状态和特殊需求,汇总生成报告
|
||||
@@ -801,3 +824,21 @@
|
||||
- Concepts created: Voice Agent, Guest Confirmation
|
||||
- Source page: wiki/sources/event-guest-confirmation.md
|
||||
- Notes: 与现有 OpenClaw、SuperCall entity 关联;新增语音外呼场景
|
||||
|
||||
## [2026-04-17] ingest | Market Research & Product Factory
|
||||
- Source file: raw/Agent/usecases/market-research-product-factory.md
|
||||
- Status: ✅ 成功摄入
|
||||
- Summary: AI 辅助创业自动化流水线,通过 Last 30 Days skill 挖掘 Reddit/X 上的真实用户痛点,然后让 OpenClaw 自动构建解决方案 MVP
|
||||
- Entities created: Alex Finn
|
||||
- Concepts created: Last-30-Days-Skill, Market-Research, MVP
|
||||
- Source page: wiki/sources/market-research-product-factory.md
|
||||
- Notes: 与现有 OpenClaw entity 关联;新增创业自动化概念
|
||||
|
||||
## [2026-04-17] ingest | Daily Reddit Digest
|
||||
- Source file: raw/Agent/usecases/daily-reddit-digest.md
|
||||
- Status: ✅ 成功摄入
|
||||
- Summary: AI Agent 定时从 Reddit 热门子版块获取热门帖子并生成每日摘要,使用 reddit-readonly skill,支持热门/最新/热榜帖子搜索和评论获取,具有偏好学习机制
|
||||
- Entities created: Reddit
|
||||
- Concepts created: Preference Learning
|
||||
- Source page: wiki/sources/daily-reddit-digest.md
|
||||
- Notes: 与 Custom Morning Brief、Daily YouTube Digest 形成信息 digest 矩阵;与 Market Research & Product Factory 关联(用于痛点挖掘)
|
||||
|
||||
@@ -49,6 +49,14 @@ AI 开源项目、Cloud & DevOps、Vibe Coding
|
||||
|
||||
- Voice Agent:具备语音交互能力的 AI 代理,能够通过语音对话完成任务
|
||||
|
||||
- **Market Research & Product Factory** — AI 辅助创业自动化流水线,通过 Last 30 Days skill 挖掘 Reddit/X 真实痛点,自动构建 MVP
|
||||
|
||||
- **Phone-Based Personal Assistant** — 基于电话的 AI 个人助理,通过 ClawdTalk + Telnyx 实现语音访问 OpenClaw
|
||||
|
||||
- **Custom Morning Brief** — AI Agent 定时发送自动化早间简报,覆盖新闻、待办、创意输出和任务推荐
|
||||
|
||||
- **Daily Reddit Digest** — AI Agent 定时从 Reddit 热门子版块获取热门帖子并生成每日摘要(Cron Jobs、偏好学习)
|
||||
|
||||
- **家庭网络环境概览** — 家庭网络基础设施架构与多服务部署方案(FRP内网穿透、Caddy反向代理、Cloudflare DNS托管)
|
||||
- **Vibe-Kanban + OpenCode 在 Ubuntu Server 上安装与管理指南** — 在 Ubuntu Server 上使用 shenwei 用户安装 Node 20、Vibe-Kanban 与 OpenCode,并通过 pm2 管理进程的完整指南
|
||||
- **在Ubuntu 上安装Vibe-Kanban** — 在 Ubuntu 系统上通过 npx 安装 Vibe-Kanban 并使用 pm2 进行进程管理的完整指南
|
||||
|
||||
48
wiki/sources/custom-morning-brief.md
Normal file
48
wiki/sources/custom-morning-brief.md
Normal file
@@ -0,0 +1,48 @@
|
||||
---
|
||||
title: "Custom Morning Brief"
|
||||
type: source
|
||||
tags: []
|
||||
date: 2026-04-17
|
||||
---
|
||||
|
||||
## Source File
|
||||
- [[raw/Agent/usecases/custom-morning-brief.md]]
|
||||
|
||||
## Summary
|
||||
- 核心主题:AI Agent 自动化早间简报工作流
|
||||
- 问题域:个人效率与 AI 自动化
|
||||
- 方法/机制:定时任务 + 新闻研究 + 待办提取 + 主动建议
|
||||
- 结论/价值:让 AI 在夜间工作,人起床后直接开始高效工作
|
||||
|
||||
## Key Claims
|
||||
- 早间简报将夜晚闲置时间转化为高效准备时间
|
||||
- AI 推荐任务是最强大的部分,让 Agent 主动思考能帮你完成的任务
|
||||
- 完整草稿(而非仅想法)是节省时间的关键
|
||||
|
||||
## Key Quotes
|
||||
> "You wake up and spend the first 30 minutes of your day catching up — scrolling news, checking your calendar, reviewing your to-do list, trying to figure out what matters today. What if all of that was already done and waiting for you as a text message?"
|
||||
|
||||
> "Full drafts (not just ideas) are the key to saving time. Wake up to scripts, not suggestions."
|
||||
|
||||
## Key Concepts
|
||||
- [[Morning Brief]]:AI Agent 定时发送的自动化早间简报工作流
|
||||
- [[Task Automation]]:将任务创建过程从手动操作转化为系统执行的机制
|
||||
- [[Cron Jobs]]:基于时间的定时任务调度机制
|
||||
- [[Proactive Recommendations]]:AI Agent 主动推荐可以自主完成的任务
|
||||
|
||||
## Key Entities
|
||||
- [[OpenClaw]]:AI Agent 管理工具,负责执行早间简报自动化
|
||||
- [[Alex Finn]]:YouTube 创作者,本工作流的灵感来源
|
||||
- [[Telegram]]:消息推送渠道之一
|
||||
- [[Discord]]:消息推送渠道之一
|
||||
- [[Todoist]]:任务管理工具集成
|
||||
|
||||
## Connections
|
||||
- [[OpenClaw]] ← uses ← [[Morning Brief]]
|
||||
- [[Morning Brief]] ← depends_on ← [[Cron Jobs]]
|
||||
- [[Morning Brief]] ← uses ← [[Telegram]]
|
||||
- [[Morning Brief]] ← integrates_with ← [[Todoist]]
|
||||
- [[Alex Finn]] ← inspires ← [[Morning Brief]]
|
||||
|
||||
## Contradictions
|
||||
- (暂无)
|
||||
41
wiki/sources/daily-reddit-digest.md
Normal file
41
wiki/sources/daily-reddit-digest.md
Normal file
@@ -0,0 +1,41 @@
|
||||
---
|
||||
title: "Daily Reddit Digest"
|
||||
type: source
|
||||
tags: [reddit, ai-agent, automation, digest]
|
||||
date: 2026-04-17
|
||||
---
|
||||
|
||||
## Source File
|
||||
- [[raw/Agent/usecases/daily-reddit-digest.md]]
|
||||
|
||||
## Summary
|
||||
- 核心主题:AI Agent 定时从 Reddit 热门子版块获取热门帖子并生成每日摘要
|
||||
- 问题域:信息过载、热点追踪、内容筛选
|
||||
- 方法/机制:使用 reddit-readonly skill 获取热门/最新/热榜帖子,支持搜索主题和获取评论线程
|
||||
- 结论/价值:自动化追踪多来源信息流,仅读模式不干扰社区
|
||||
|
||||
## Key Claims
|
||||
- Daily Reddit Digest ← uses ← reddit-readonly skill
|
||||
- Daily Reddit Digest ← runs_on ← OpenClaw
|
||||
- Daily Reddit Digest ← scheduled_by ← Cron Jobs(每日下午5点执行)
|
||||
- Daily Reddit Digest → provides → 个性化偏好学习机制
|
||||
|
||||
## Key Quotes
|
||||
> "It's read-only. No posting, voting, or commenting." — 明确只读定位,避免干扰
|
||||
|
||||
## Key Concepts
|
||||
- [[Cron Jobs]]:定时任务调度,设定每日下午5点执行
|
||||
- [[Task Automation]]:自动化将任务创建过程从手动转化为系统执行
|
||||
- [[Preference Learning]]:通过记忆机制学习用户偏好,持续优化内容筛选
|
||||
|
||||
## Key Entities
|
||||
- [[OpenClaw]]:AI Agent 管理工具,运行定时任务
|
||||
- [[Reddit]]:社交新闻聚合网站,支持子版块热门帖子获取
|
||||
|
||||
## Connections
|
||||
- [[Custom Morning Brief]] ← similar_to ← [[Daily Reddit Digest]](均为定时信息摘要)
|
||||
- [[Daily YouTube Digest]] ← similar_to ← [[Daily Reddit Digest]](均为内容聚合digest)
|
||||
- [[Market Research & Product Factory]] ← uses ← [[Daily Reddit Digest]](用于痛点挖掘)
|
||||
|
||||
## Contradictions
|
||||
- (暂无发现)
|
||||
36
wiki/sources/inbox-declutter.md
Normal file
36
wiki/sources/inbox-declutter.md
Normal file
@@ -0,0 +1,36 @@
|
||||
---
|
||||
title: "Inbox De-clutter"
|
||||
type: source
|
||||
tags: [agent, automation, email, newsletter]
|
||||
date: 2026-04-17
|
||||
---
|
||||
|
||||
## Source File
|
||||
- [[raw/Agent/usecases/inbox-declutter.md]]
|
||||
|
||||
## Summary
|
||||
- 核心主题:Newsletter 邮件自动化整理与摘要生成
|
||||
- 问题域:Newsletter 堆积导致邮箱混乱、关键信息被淹没
|
||||
- 方法/机制:通过 Cron Jobs 定时读取过去 24 小时的 newsletter 邮件,AI Agent 提取核心要点并生成摘要,根据用户反馈持续优化摘要质量
|
||||
- 结论/价值:将被动堆积的 newsletter 转化为主动可控的信息源,释放注意力
|
||||
|
||||
## Key Claims
|
||||
- Newsletter 可以无限堆积导致邮箱混乱
|
||||
- 使用专属邮箱隔离 newsletter 是有效的分离策略
|
||||
- AI Agent 能够从 newsletter 中提取最具价值的内容
|
||||
- 用户反馈循环可以优化 AI 的摘要质量
|
||||
|
||||
## Key Quotes
|
||||
> "I want you to run a cron job everyday at 8 p.m. to read all the newsletter emails of the past 24 hours and give me a digest of the most important bits along with links to read more. Then ask for my feedback on whether you picked good bits, and update your memory based on my preferences for better digests in the future jobs."
|
||||
|
||||
## Key Concepts
|
||||
- [[Cron Jobs]]:定时任务调度机制
|
||||
- [[上下文记忆]]:AI Agent 根据用户反馈更新记忆、优化未来输出
|
||||
|
||||
## Key Entities
|
||||
- [OpenClaw](entities/OpenClaw.md):AI Agent 管理工具,运行定时任务
|
||||
- [Gmail OAuth](entities/Gmail.md):邮件访问认证方式
|
||||
|
||||
## Connections
|
||||
- [Custom Morning Brief](sources/custom-morning-brief.md) ← similar_to ← [[Inbox De-clutter]]
|
||||
- [Cron Jobs](concepts/Cron-Jobs.md) ← uses ← [[Inbox De-clutter]]
|
||||
45
wiki/sources/market-research-product-factory.md
Normal file
45
wiki/sources/market-research-product-factory.md
Normal file
@@ -0,0 +1,45 @@
|
||||
---
|
||||
id: market-research-product-factory
|
||||
title: "Market Research & Product Factory"
|
||||
type: source
|
||||
tags: [openclaw, workflow, market-research, product-development, automation]
|
||||
sources: []
|
||||
last_updated: 2026-04-17
|
||||
---
|
||||
|
||||
## Source File
|
||||
- [[raw/Agent/usecases/market-research-product-factory.md]]
|
||||
|
||||
## Summary
|
||||
- **核心主题**: AI 辅助创业,从市场研究到产品 MVP 的自动化流水线
|
||||
- **问题域**: 创业者"不知道做什么产品"的产品定位难题
|
||||
- **方法/机制**: 使用 Last 30 Days skill 挖掘 Reddit 和 X 上的真实用户痛点,然后让 OpenClaw 自动构建解决方案 MVP
|
||||
- **结论/价值**: 实现"创业自动化"——找到问题 → 验证需求 → 构建产品,全程通过文本交互完成
|
||||
|
||||
## Key Claims
|
||||
- 创业者面临的最大挑战是"不知道做什么",传统市场研究需要手动浏览论坛、社交媒体,耗时数小时
|
||||
- Last 30 Days skill 提供真实的、未经过滤的用户情绪,而非经过 sanitized 的调查数据
|
||||
- 该工作流将"发现→验证→构建"完整流程自动化,零编码即可交付产品
|
||||
- 通过定时任务可实现持续的市场情报监控
|
||||
|
||||
## Key Quotes
|
||||
> "This is entrepreneurship on autopilot: find problems → validate demand → build solutions, all through text messages." — 来源文档
|
||||
|
||||
## Key Concepts
|
||||
- [[Last-30-Days-Skill]]: Matt Van Horn 开发的 Reddit 和 X 研究技能,可获取过去 30 天内的用户痛点
|
||||
- [[Market-Research]]: 通过系统化收集和分析用户反馈来识别产品机会的方法
|
||||
- [[Pain-Point-Discovery]]: 识别用户面临的具体问题和未满足需求的过程
|
||||
- [[MVP]]: 最小可行产品,用最少的资源验证核心假设
|
||||
|
||||
## Key Entities
|
||||
- [[OpenClaw]]: AI Agent 管理工具,负责研究和构建
|
||||
- [[Last-30-Days-Skill]]: Matt Van Horn 开发的市场研究技能
|
||||
- [[Alex Finn]]: OpenClaw 生活改变用例视频的创作者
|
||||
|
||||
## Connections
|
||||
- [[OpenClaw]] ← uses ← [[Last-30-Days-Skill]]
|
||||
- [[Pain-Point-Discovery]] ← enables ← [[MVP]]
|
||||
- [[Market-Research]] ← automated_by ← [[Agentic-AI]]
|
||||
|
||||
## Contradictions
|
||||
- (暂无)
|
||||
58
wiki/sources/phone-based-personal-assistant.md
Normal file
58
wiki/sources/phone-based-personal-assistant.md
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---
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title: Phone-Based Personal Assistant
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type: source
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tags: [AI Agent, Use Case, Voice Agent]
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date: 2026-04-17
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---
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## Source File
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- [[raw/Agent/usecases/phone-based-personal-assistant.md]]
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## Summary
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- 核心主题:基于电话的AI个人助理,让任何手机通过语音与AI Agent交互
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- 问题域:Hands-free AI访问、手机端语音交互、解放双手场景
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- 方法/机制:ClawdTalk集成Telnyx电话服务,实现OpenClaw的语音通话功能
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- 结论/价值:用户无需智能手机应用或浏览器即可通过语音访问AI助手,适用于开车、步行等双手被占用的场景
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|
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## Key Claims
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- ClawdTalk enables OpenClaw to receive and make phone calls, turning any phone into a gateway to your AI assistant
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- 用户可以通过打电话获取日历提醒、Jira更新和网络搜索结果
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- SMS支持即将推出
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## Key Quotes
|
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> "You want to access your AI agent from any phone without needing a smartphone app or internet browser." — 核心痛点描述
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## Key Concepts
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- [[Voice Agent]]:具备语音交互能力的AI代理,能够通过语音对话完成任务
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- [[Telnyx]]:电话连接服务提供商,为ClawdTalk提供可靠的电话 connectivity
|
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|
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## Key Entities
|
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- [[ClawdTalk]]:连接OpenClaw与电话网络的客户端工具
|
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- [[OpenClaw]]:AI Agent管理工具,支持多技能集成
|
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- [[Telnyx]]:电话API服务提供商
|
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|
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## Connections
|
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- [[OpenClaw]] ← integrates_with ← [[ClawdTalk]]
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- [[ClawdTalk]] ← uses ← [[Telnyx]]
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- [[Voice Agent]] ← enables ← [[Phone-Based Personal Assistant]]
|
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|
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## Prompts
|
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```
|
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You are available via phone. When I call, greet me and ask how I can help.
|
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|
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For calendar queries: "What's on my calendar today?"
|
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For Jira updates: "Show me my open tickets"
|
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For web search: "Search for latest news on AI agents"
|
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```
|
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|
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## Skills Needed
|
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- [ClawdTalk](https://github.com/team-telnyx/clawdtalk-client)
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- Calendar skill (Google Calendar or Outlook)
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- Jira skill
|
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- Web search skill
|
||||
|
||||
## Related Links
|
||||
- [ClawdTalk Website](https://clawdtalk.com)
|
||||
- [ClawdTalk GitHub](https://github.com/team-telnyx/clawdtalk-client)
|
||||
- [Telnyx API](https://telnyx.com/)
|
||||
- [OpenClaw Skills](https://github.com/openclaw/skills)
|
||||
Reference in New Issue
Block a user