Auto-sync: 2026-04-22 20:02
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53
wiki/concepts/AI-Driven-Task-Extraction.md
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53
wiki/concepts/AI-Driven-Task-Extraction.md
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---
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title: "AI-Driven Task Extraction"
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type: concept
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tags: [ai, task-management, nlp, automation]
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sources: [todoist-task-manager, meeting-notes-action-items]
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last_updated: 2026-04-21
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---
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## Definition
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AI-Driven Task Extraction(AI 驱动的任务提取)是指利用大语言模型(LLM)从非结构化文本中自动识别并提取任务要素(谁/做什么/何时/何地/优先级),并将其转换为结构化任务数据的过程。核心技术栈:LLM(解析) + Task API(存储) + Cron Job(追踪)。
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## Aliases
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- AI Task Extraction
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- Task Extraction from Text
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- 自动任务提取
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- Natural Language to Task
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- 任务自动录入
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## How It Works
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1. **输入源**:邮件正文、会议记录、聊天消息、语音转录文本
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2. **LLM 解析**:Prompt 设计引导模型输出结构化 JSON(含任务描述、截止日期、优先级、标签)
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3. **任务创建**:调用 Todoist/Jira/Notion 等 API 创建任务
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4. **确认反馈**:回复用户"已创建:[任务名] @[项目] 🔴 高优先级,截止 [日期]"
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5. **持续追踪**:Cron Job 扫描逾期任务,主动推送提醒
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## Prompt Example
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```
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你是一个任务提取助手。从以下文本中提取所有待办事项,
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输出 JSON 格式:{"tasks": [{"description": "", "due": "", "priority": 1-4, "project": ""}]}
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原文:
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"{user_input}"
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```
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## Use Cases
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- **Email Inbox**:扫描 Gmail 收件箱,提取"需要回复"类任务
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- **Meeting Notes**:从 Otter.ai/Zoom 转录中提取行动项
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- **Slack/Discord**:监听频道消息,自动识别任务请求
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- **Voice Transcription**:SuperCall 电话转录 → 提取待确认/待执行事项
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- **Newsletter 阅读**:文章中提到的"需要跟进"点 → 创建研究任务
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## Key Relationships
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- [[LLM]] — 核心解析引擎
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- [[Todoist API]] — 任务存储后端
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- [[Todoist Task Manager]] — 自然语言→任务提取的完整实现
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- [[Meeting Notes Action Items]] — 会议场景的任务提取
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- [[Cron Job]] — 逾期任务主动追踪
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- [[Preference Learning]] — 从用户反馈中优化提取准确率
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68
wiki/concepts/Alerting.md
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68
wiki/concepts/Alerting.md
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---
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title: "Alerting"
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type: concept
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tags: [Monitoring, Automation, Notification, Threshold]
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sources: [dynamic-dashboard]
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last_updated: 2026-04-22
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---
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## Definition
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**Alerting** 是在指标超过预设阈值时,主动通知相关人员的机制。与被动查询仪表盘不同,告警实现"异常来找人"而非"人去查异常"的范式转变。
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## 核心洞察
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> "指标异常不是被看到,而是被通知"
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## 告警生命周期
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```
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Threshold Exceeded → Alert Triggered → Notification Sent → Acknowledged → Resolved
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│ │ │ │ │
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监控规则 事件生成 多渠道推送 用户确认 问题修复
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```
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## 告警类型
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1. **阈值告警**
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- 固定阈值: `if cpu > 90% → alert`
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- 变化率: `if stars_change > 50/hour → alert`
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2. **趋势告警**
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- 异常检测: Twitter 负面情绪突增
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- 预测告警: 基于历史趋势预测故障
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3. **复合告警**
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- 多条件组合: `if cpu > 80% AND disk < 20% → alert`
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## 告警渠道
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| 渠道 | 适用场景 | 优势 |
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|------|----------|------|
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| Discord | 团队协作/实时讨论 | 频道分类、@mention |
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| Email | 正式记录/异步通知 | 归档、可搜索 |
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| Slack | 企业团队集成 | 频道/线程组织 |
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| Telegram | 个人/移动优先 | 即时推送 |
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| SMS | 紧急故障 | 无网络依赖 |
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## 告警疲劳管理
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- **聚合**: 相似告警合并,减少噪音
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- **静默期**: 维护窗口自动静默
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- **升级**: 无人响应时升级通知级别
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- **去重**: 同一问题不重复通知
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## 与 Prometheus Alertmanager 的对比
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| 维度 | 自定义 Alerting | Prometheus Alertmanager |
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|------|----------------|------------------------|
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| 触发规则 | 自然语言描述 | PromQL 表达式 |
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| 数据源 | 任意 API | Prometheus metrics |
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| 灵活性 | 高(对话式调整) | 中(规则编写) |
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| 集成成本 | 低 | 中 |
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## Related Concepts
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- [[Dynamic-Dashboard]] — 告警是动态仪表盘的核心输出
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- [[Scheduled-Task-Flywheel]] — 定时检查是告警的前置条件
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- [[Prometheus告警规则]] — Prometheus 生态的规则定义方式
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89
wiki/concepts/Dynamic-Dashboard.md
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89
wiki/concepts/Dynamic-Dashboard.md
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---
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title: "Dynamic Dashboard"
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type: concept
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tags: [OpenClaw, Dashboard, Monitoring, Automation]
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sources: [dynamic-dashboard]
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last_updated: 2026-04-22
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---
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## Definition
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**Dynamic Dashboard** 是一种基于 AI Agent 子代理并行执行的多数据源实时监控仪表盘。通过对话式指令驱动子代理同时抓取多个数据源,定时聚合结果并推送告警,实现"免开发、实时、主动"的监控体验。
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## 核心洞察
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> "用对话式描述替代数周的前端开发,立即获得实时洞察"
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## 架构模式
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```
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┌─────────────────────────────────────────┐
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│ Dynamic Dashboard │
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├─────────────────────────────────────────┤
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│ ┌─────────┐ ┌─────────┐ ┌─────────┐ │
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│ │Sub-Agent│ │Sub-Agent│ │Sub-Agent│ │
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│ │ GitHub │ │ Twitter │ │Polymarket│ │
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│ └────┬────┘ └────┬────┘ └────┬────┘ │
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│ │ │ │ │
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│ └────────────┼────────────┘ │
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│ ▼ │
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│ ┌─────────────┐ │
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│ │ Aggregator │ │
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│ └──────┬──────┘ │
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│ ▼ │
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│ ┌─────────┐ ┌──────────┐ ┌───────┐ │
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│ │ Discord │ │ PostgreSQL│ │ Alert │ │
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│ │ Push │ │ History │ │ Check │ │
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│ └─────────┘ └──────────┘ └───────┘ │
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└─────────────────────────────────────────┘
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```
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## 核心能力
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1. **多数据源并行监控**
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- GitHub: stars, forks, issues, commits
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- Social Media: Twitter mentions, Reddit discussions
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- Markets: Polymarket volume, prediction trends
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- System: CPU, memory, disk health
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2. **子代理并行执行**
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- 每个数据源由独立子代理处理
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- 避免顺序轮询导致的阻塞和 API 限流
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- 聚合器等待所有子代理完成后统一汇总
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3. **定时更新与告警**
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- Cron Job 驱动的定时抓取(默认 15 分钟)
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- 阈值告警主动推送(Discord/Email/Slack)
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- 历史数据存储供趋势分析
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4. **对话式配置**
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- 无需编写前端代码
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- 用自然语言定义监控目标和告警规则
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- 迭代调整只需修改指令文本
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## 典型应用场景
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| 场景 | 监控目标 | 推送渠道 |
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|------|----------|----------|
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| 开发者监控 | GitHub stars/commits | Discord |
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| 社媒追踪 | Twitter mentions/sentiment | Discord |
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| 市场情报 | Polymarket volume/trends | Telegram |
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| 系统运维 | CPU/memory/disk | Discord/Email |
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## 与静态仪表盘对比
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| 维度 | 静态仪表盘 | Dynamic Dashboard |
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|------|------------|-------------------|
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| 数据时效 | 手动刷新/定时拉取 | 持续更新 |
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| 开发成本 | 数周前端开发 | 对话式配置 |
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| 告警机制 | 被动查询 | 主动推送 |
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| 多数据源 | 需分别集成 | 子代理原生并行 |
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## Related Concepts
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- [[Parallel-Agent-Execution]] — 子代理并行执行是动态仪表盘的核心机制
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- [[Scheduled-Task-Flywheel]] — Cron Job 驱动定时更新
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- [[Alerting]] — 阈值告警机制
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- [[self-healing-home-server]] — 系统健康监控场景
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- [[earnings-tracker]] — 市场数据监控场景
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- [[content-factory]] — 社交媒体监控场景
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53
wiki/concepts/Recurring-Tasks.md
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53
wiki/concepts/Recurring-Tasks.md
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---
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title: "Recurring Tasks"
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type: concept
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tags: [task-management, automation, productivity]
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sources: [todoist-task-manager]
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last_updated: 2026-04-21
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---
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## Definition
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Recurring Tasks(重复任务)是指按照固定周期自动生成新实例的任务机制,如"每週一早上9点提交周报"或"每6个月看牙医"。Todoist 的 repeat_string 字段支持自然语言周期描述(every Monday, every 6 months),极大简化了周期性任务的设置复杂度。
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## Aliases
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- Recurring Tasks
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- 重复任务
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- Recurring Reminders
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- 周期性任务
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- Repeating Tasks
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## Natural Language Repeat Patterns (Todoist)
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| 用户表述 | Todoist repeat_string |
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|----------|----------------------|
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| every Monday | "every monday" |
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| every weekday | "every weekday" |
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| every 2 weeks | "every 2 weeks" |
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| every 6 months | "every 6 months" |
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| monthly on the 1st | "monthly on the 1st" |
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| every day at 9am | "every day at 9:00" |
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| every Tuesday and Thursday | "every tuesday and thursday" |
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## AI Integration Pattern
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```
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用户:"每6个月提醒我看牙医"
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↓ Agent 解析为 repeat_string: "every 6 months"
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↓ Todoist API 创建任务,含 due 和 repeat_string 字段
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↓ Todoist 自动在每个周期创建新实例
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```
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## Key Relationships
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- [[Todoist API]] — repeat_string 是 Todoist API 的专属字段
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- [[Todoist Task Manager]] — 自然语言描述 → 重复任务创建
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- [[Morning Briefing]] — 重复任务中的周期性提醒(如每周一晨会)
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- [[AI-Driven Task Extraction]] — 从邮件/消息中识别周期性任务需求
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## Design Considerations
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- **命名规范**:重复任务标题应明确表达"周期性"含义("季度复盘"而非"复盘")
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- **截止日期 vs 周期**:有明确截止的用 due_date,周期性的用 repeat_string
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- **逾期容错**:Todoist 逾期后下一个实例会在修复日期创建(不跳跃),可通过 Agent 重新调度
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59
wiki/concepts/Todoist-API.md
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59
wiki/concepts/Todoist-API.md
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---
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title: "Todoist API"
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type: concept
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tags: [api, task-management, integration, automation]
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sources: [todoist-task-manager, multi-channel-assistant, custom-morning-brief, meeting-notes-action-items]
|
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last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
|
||||
Todoist 官方 API(REST API 和 Sync API),允许第三方应用通过 OAuth2 认证创建、读取、更新、删除 Todoist 中的任务、项目、标签和评论。是 AI Agent 集成 Todoist 的底层技术基础。
|
||||
|
||||
## Aliases
|
||||
|
||||
- Todoist REST API
|
||||
- Todoist Sync API
|
||||
- Todoist REST
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||||
- Todoist API
|
||||
|
||||
## Core Capabilities
|
||||
|
||||
- **Tasks**:创建任务(含截止日期、优先级、标签、项目)、更新状态、添加评论
|
||||
- **Projects**:创建和管理项目层级结构
|
||||
- **Labels**:创建和管理标签(支持多标签)
|
||||
- **Sections**:项目内的分组(分区)
|
||||
- **Comments**:任务评论
|
||||
- **Sync**:实时双向同步,支持 WebSocket 推送
|
||||
|
||||
## API Integration Pattern (OpenClaw)
|
||||
|
||||
```
|
||||
用户自然语言指令 → OpenClaw Agent → LLM 解析结构化字段
|
||||
→ Todoist REST API POST /tasks → 任务创建
|
||||
→ 确认消息回复用户
|
||||
```
|
||||
|
||||
## Key Endpoints
|
||||
|
||||
| Method | Endpoint | 功能 |
|
||||
|--------|----------|------|
|
||||
| POST | /rest/v2/tasks | 创建任务 |
|
||||
| GET | /rest/v2/tasks | 列出任务 |
|
||||
| POST | /rest/v2/tasks/{id}/close | 完成任务 |
|
||||
| DELETE | /rest/v2/tasks/{id} | 删除任务 |
|
||||
| POST | /sync/v9/sync | 同步变更 |
|
||||
|
||||
## Use Cases
|
||||
|
||||
- [[Todoist Task Manager]]:自然语言 → API 调用
|
||||
- [[Custom Morning Brief]]:拉取今日任务和逾期任务
|
||||
- [[Meeting Notes Action Items]]:自动从会议记录创建任务
|
||||
- [[Phone-Based Personal Assistant]]:语音指令创建任务
|
||||
|
||||
## Key Relationships
|
||||
|
||||
- [[OpenClaw]] — Agent 框架,通过 API 集成 Todoist
|
||||
- [[Todoist]] — API 提供方
|
||||
- [[Natural Language Task Parsing]] — LLM 解析自然语言为 API 参数
|
||||
- [[Cron Job]] — 定时调用 API 检查逾期任务
|
||||
@@ -2,7 +2,7 @@
|
||||
title: "Todoist"
|
||||
type: entity
|
||||
tags: [productivity, task-management]
|
||||
sources: [multi-channel-assistant, custom-morning-brief, meeting-notes-action-items]
|
||||
sources: [multi-channel-assistant, custom-morning-brief, meeting-notes-action-items, todoist-task-manager]
|
||||
last_updated: 2026-04-22
|
||||
---
|
||||
|
||||
|
||||
@@ -4,7 +4,9 @@
|
||||
- [Overview](overview.md) — living synthesis
|
||||
|
||||
## Sources
|
||||
- [2026-04-22] [Pre-Build Idea Validator](sources/pre-build-idea-validator.md) — AI 项目启动前的竞争分析门控机制,通过 MCP 扫描 GitHub/HN/npm/PyPI/Product Hunt 评估赛道拥挤度
|
||||
- [2026-04-22] [Todoist Task Manager](sources/todoist-task-manager.md)
|
||||
- [2026-04-22] [Dynamic Dashboard with Sub-agent Spawning](sources/dynamic-dashboard.md)
|
||||
- [2026-04-22] [Pre-Build Idea Validator](sources/pre-build-idea-validator.md)
|
||||
- [2026-04-22] [Autonomous Project Management with Subagents](sources/autonomous-project-management.md)
|
||||
- [2026-04-22] [Daily Reddit Digest](sources/daily-reddit-digest.md)
|
||||
- [2026-04-22] [Inbox De-clutter](sources/inbox-declutter.md)
|
||||
@@ -34,7 +36,7 @@
|
||||
- [2026-04-22] [万字讲透OpenClaw Workspace深度解析](sources/万字讲透openclaw-workspace深度解析-2026-03-21.md)
|
||||
- [2026-04-22] [How to get Youtube Channel ID](sources/how-to-get-youtube-channel-id.md)
|
||||
- [2026-04-22] [TikTok PM - Python Django 项目](sources/tiktok-pm-python-django-project.md)
|
||||
- [2026-04-22] [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)
|
||||
- [2026-04-22] [dataview-让我从“笔记黑洞”里逃出来的-obsidian-神器-1](sources/dataview-让我从“笔记黑洞”里逃出来的-obsidian-神器-1.md) — (expected: wiki/sources/dataview-让我从“笔记黑洞”里逃出来的-obsidian-神器-1.md — source missing)
|
||||
- [2026-04-22] [Obsidian 高效指南:我常用的插件与实用技巧](sources/obsidian-高效指南-我常用的插件与实用技巧.md)
|
||||
- [2026-04-22] [Obsidian最有必要安装的10款插件是这些](sources/obsidian最有必要安装的10款插件是这些.md)
|
||||
- [2026-04-22] [Obsidian Tasks 插件:这可能是最适合懒人的任务管理方式](sources/obsidian-tasks-插件-这可能是最适合懒人的任务管理方式.md)
|
||||
@@ -116,7 +118,6 @@
|
||||
- [2026-04-21] [marketing-short-video-editing-coach](sources/marketing-short-video-editing-coach.md) — (expected: wiki/sources/marketing-short-video-editing-coach.md — source missing)
|
||||
- [2026-04-21] [polymarket-autopilot](sources/polymarket-autopilot.md) — (expected: wiki/sources/polymarket-autopilot.md — source missing)
|
||||
- [2026-04-21] [marketing-social-media-strategist](sources/marketing-social-media-strategist.md) — (expected: wiki/sources/marketing-social-media-strategist.md — source missing)
|
||||
- [2026-04-21] [todoist-task-manager](sources/todoist-task-manager.md) — (expected: wiki/sources/todoist-task-manager.md — source missing)
|
||||
- [2026-04-21] [marketing-kuaishou-strategist](sources/marketing-kuaishou-strategist.md) — (expected: wiki/sources/marketing-kuaishou-strategist.md — source missing)
|
||||
- [2026-04-21] [marketing-video-optimization-specialist](sources/marketing-video-optimization-specialist.md) — (expected: wiki/sources/marketing-video-optimization-specialist.md — source missing)
|
||||
- [2026-04-21] [marketing-instagram-curator](sources/marketing-instagram-curator.md) — (expected: wiki/sources/marketing-instagram-curator.md — source missing)
|
||||
@@ -412,9 +413,7 @@
|
||||
- [2026-04-17] [multi-channel-customer-service](sources/multi-channel-customer-service.md) — (expected: wiki/sources/multi-channel-customer-service.md — source missing)
|
||||
- [2026-04-17] [second-brain](sources/second-brain.md) — (expected: wiki/sources/second-brain.md — source missing)
|
||||
- [2026-04-17] [latex-paper-writing](sources/latex-paper-writing.md) — (expected: wiki/sources/latex-paper-writing.md — source missing)
|
||||
- [2026-04-17] [habit-tracker-accountability-coach](sources/habit-tracker-accountability-coach.md) — (expected: wiki/sources/habit-tracker-accountability-coach.md — source missing)
|
||||
- [2026-04-17] [dynamic-dashboard](sources/dynamic-dashboard.md) — (expected: wiki/sources/dynamic-dashboard.md — source missing)
|
||||
- [2026-04-17] [pre-build-idea-validator](sources/pre-build-idea-validator.md) — (expected: wiki/sources/pre-build-idea-validator.md — source missing)
|
||||
- [2026-04-17] [Habit Tracker & Accountability Coach](sources/habit-tracker-accountability-coach.md) — AI Agent 作为主动问责伙伴,通过 Telegram/SMS 每日定时签到,替代被动习惯追踪 App
|
||||
- [Your-AI-Isn-t-Stupid---It-Just-Needs-a-Better-Harness--Lychee-Technology-Engineering-Blog](sources/Your-AI-Isn-t-Stupid---It-Just-Needs-a-Better-Harness--Lychee-Technology-Engineering-Blog.md) — (expected: wiki/sources/Your-AI-Isn-t-Stupid---It-Just-Needs-a-Better-Harness--Lychee-Technology-Engineering-Blog.md — source missing)
|
||||
- [Expose-hermes-agent-as-an-OpenAI-compatible-API-for-any-frontend](sources/Expose-hermes-agent-as-an-OpenAI-compatible-API-for-any-frontend.md) — (expected: wiki/sources/Expose-hermes-agent-as-an-OpenAI-compatible-API-for-any-frontend.md — source missing)
|
||||
- [zk-steward](sources/zk-steward.md) — (expected: wiki/sources/zk-steward.md — source missing)
|
||||
@@ -592,6 +591,7 @@
|
||||
- [HIPAA](entities/HIPAA.md)
|
||||
- [HP-ZBook](entities/HP-ZBook.md)
|
||||
- [htop](entities/htop.md)
|
||||
- [idea-reality-mcp](entities/idea-reality-mcp.md)
|
||||
- [ISO-27001](entities/ISO-27001.md)
|
||||
- [it-tools](entities/it-tools.md)
|
||||
- [Jellyfin](entities/Jellyfin.md)
|
||||
@@ -655,6 +655,7 @@
|
||||
|
||||
## Concepts
|
||||
- [ActionItemTracking](concepts/ActionItemTracking.md)
|
||||
- [Agent-Build-Gate](concepts/Agent-Build-Gate.md)
|
||||
- [Agent-Driven-Market-Research](concepts/Agent-Driven-Market-Research.md)
|
||||
- [Agent-Memory](concepts/Agent-Memory.md)
|
||||
- [Agent-Mode](concepts/Agent-Mode.md)
|
||||
@@ -663,9 +664,11 @@
|
||||
- [AGENTS.md](concepts/AGENTS.md.md)
|
||||
- [AgilePractices](concepts/AgilePractices.md)
|
||||
- [AI-ChatOps](concepts/AI-ChatOps.md)
|
||||
- [AI-Driven-Task-Extraction](concepts/AI-Driven-Task-Extraction.md)
|
||||
- [Ai-Powered-Digest](concepts/Ai-Powered-Digest.md)
|
||||
- [AIOps](concepts/AIOps.md)
|
||||
- [AI代理](concepts/AI代理.md)
|
||||
- [Alerting](concepts/Alerting.md)
|
||||
- [APT-仓库配置](concepts/APT-仓库配置.md)
|
||||
- [Asset-Management](concepts/Asset-Management.md)
|
||||
- [Attach容器](concepts/Attach容器.md)
|
||||
@@ -706,6 +709,7 @@
|
||||
- [Cloud-Service-Delivery](concepts/Cloud-Service-Delivery.md)
|
||||
- [CMDB](concepts/CMDB.md)
|
||||
- [CodeWeaver](concepts/CodeWeaver.md)
|
||||
- [Competition-Analysis](concepts/Competition-Analysis.md)
|
||||
- [Compliance-Automation](concepts/Compliance-Automation.md)
|
||||
- [Configuration-Management](concepts/Configuration-Management.md)
|
||||
- [Content Automation](concepts/Content Automation.md)
|
||||
@@ -735,6 +739,7 @@
|
||||
- [DORA-Metrics](concepts/DORA-Metrics.md)
|
||||
- [DRaaS](concepts/DRaaS.md)
|
||||
- [DRY原则](concepts/DRY原则.md)
|
||||
- [Dynamic-Dashboard](concepts/Dynamic-Dashboard.md)
|
||||
- [Earnings-Beat-Miss](concepts/Earnings-Beat-Miss.md)
|
||||
- [Earnings-Calendar](concepts/Earnings-Calendar.md)
|
||||
- [efibootmgr](concepts/efibootmgr.md)
|
||||
@@ -804,10 +809,12 @@
|
||||
- [Pay-as-you-go](concepts/Pay-as-you-go.md)
|
||||
- [Penetration-Testing](concepts/Penetration-Testing.md)
|
||||
- [Pipeline](concepts/Pipeline.md)
|
||||
- [Pivot-Strategy](concepts/Pivot-Strategy.md)
|
||||
- [Plan-Mode](concepts/Plan-Mode.md)
|
||||
- [PMDelegationPattern](concepts/PMDelegationPattern.md)
|
||||
- [pmset](concepts/pmset.md)
|
||||
- [Policy-as-Code](concepts/Policy-as-Code.md)
|
||||
- [Pre-Build-Validation](concepts/Pre-Build-Validation.md)
|
||||
- [Predictive-Maintenance](concepts/Predictive-Maintenance.md)
|
||||
- [Private-Cloud](concepts/Private-Cloud.md)
|
||||
- [Private-Context](concepts/Private-Context.md)
|
||||
@@ -821,7 +828,9 @@
|
||||
- [proxychains](concepts/proxychains.md)
|
||||
- [Public-Cloud](concepts/Public-Cloud.md)
|
||||
- [PUID-PGID](concepts/PUID-PGID.md)
|
||||
- [Reality-Signal](concepts/Reality-Signal.md)
|
||||
- [Recurring-Task](concepts/Recurring-Task.md)
|
||||
- [Recurring-Tasks](concepts/Recurring-Tasks.md)
|
||||
- [Redis缓存](concepts/Redis缓存.md)
|
||||
- [Release-Management](concepts/Release-Management.md)
|
||||
- [Remote-SSH](concepts/Remote-SSH.md)
|
||||
@@ -869,6 +878,7 @@
|
||||
- [Telephony-Integration](concepts/Telephony-Integration.md)
|
||||
- [Threat-Modeling](concepts/Threat-Modeling.md)
|
||||
- [Time-to-Market](concepts/Time-to-Market.md)
|
||||
- [Todoist-API](concepts/Todoist-API.md)
|
||||
- [Tool-Calling](concepts/Tool-Calling.md)
|
||||
- [TOOLS.md](concepts/TOOLS.md.md)
|
||||
- [ToolWrapper](concepts/ToolWrapper.md)
|
||||
|
||||
30
wiki/log.md
30
wiki/log.md
@@ -1,3 +1,33 @@
|
||||
## [2026-04-22] ingest | Todoist Task Manager
|
||||
- Source file: Agent/usecases/todoist-task-manager.md
|
||||
- Status: ✅ 成功摄入
|
||||
- Summary: AI Agent 通过 Todoist API 实现自然语言驱动的任务管理自动化——Agent 解析自然语言指令 → Todoist REST API 创建结构化任务(含截止/项目/标签)→ Cron Job 定时扫描逾期任务主动推送提醒。核心价值:用户只需发一条消息即可完成全套操作,AI 主动追踪逾期任务。
|
||||
- Concepts created: [[Todoist API]], [[AI-Driven Task Extraction]], [[Recurring Tasks]]
|
||||
- Entities created: (无新增,[[Todoist]]/[[OpenClaw]]/[[SuperCall]] 已存在)
|
||||
- Source page: wiki/sources/todoist-task-manager.md
|
||||
- Notes:
|
||||
- 新增 Sources 条目至 index.md(替换 placeholder)
|
||||
- 更新 overview.md,添加 Todoist Task Manager 段落,补充 [[Morning Briefing]], [[Todoist API]], [[AI-Driven Task Extraction]], [[TaskAutomation]], [[Recurring Tasks]] 至 Key Concepts
|
||||
- 更新 entities/Todoist.md,添加 todoist-task-manager 至 sources
|
||||
- 创建 3 个 Concept 页面:Todoist-API.md、AI-Driven-Task-Extraction.md、Recurring-Tasks.md
|
||||
- [[Project State Management]] 冲突记录:Todoist(结构化字段/API驱动)与 Markdown 事件流(完整上下文/自托管)各有适用场景
|
||||
- 与 [[multi-channel-assistant]] 中 Todoist 集成属同一技术栈,侧重不同:前者侧重多渠道统一入口,后者侧重任务管理深度自动化
|
||||
|
||||
## [2026-04-22] ingest | Dynamic Dashboard with Sub-agent Spawning
|
||||
- Source file: Agent/usecases/dynamic-dashboard.md
|
||||
- Status: ✅ 成功摄入
|
||||
- Summary: 基于子代理并行执行的多数据源实时监控仪表盘——通过子代理并行抓取 GitHub/Twitter/Polymarket/系统健康等多数据源,定时聚合结果推送 Discord,支持告警阈值和历史趋势存储。用对话式指令替代数周前端开发,立即获得实时洞察。
|
||||
- Concepts created: [[Dynamic-Dashboard]], [[Alerting]]
|
||||
- Entities created: (无新增,[[OpenClaw]] 已存在)
|
||||
- Source page: wiki/sources/dynamic-dashboard.md
|
||||
- Notes:
|
||||
- 新增 Sources 条目至 index.md(插入顶部)
|
||||
- 更新 overview.md,添加 Multi-Agent Monitoring & Automation 段落,补充 [[Dynamic-Dashboard]] 和 [[Alerting]] 至 Key Concepts
|
||||
- 创建 2 个 Concept 页面:Dynamic-Dashboard.md、Alerting.md
|
||||
- 已有相关 Concept:[[Parallel-Agent-Execution]](子代理并行)、[[Scheduled-Task-Flywheel]](定时任务)
|
||||
- 已有相关 Entity:[[OpenClaw]](多代理框架)
|
||||
- 冲突:与 [[content-factory]] 存在场景重叠(并行执行模式),但前者侧重数据监控,后者侧重内容创作
|
||||
|
||||
## [2026-04-22] ingest | Pre-Build Idea Validator
|
||||
- Source file: Agent/usecases/pre-build-idea-validator.md
|
||||
- Status: ✅ 成功摄入
|
||||
|
||||
@@ -13,7 +13,10 @@ The wiki covers two major multi-agent frameworks: **The Agency** (agency-agents)
|
||||
|
||||
**Inbox De-clutter**:基于 [[OpenClaw]] 的 Newsletter 自动整理方案——每天 20:00 通过 Cron Job 阅读过去 24 小时的新邮件,生成精华摘要并附原文链接,根据用户反馈持续学习偏好。需前置 Gmail OAuth Setup。与 [[custom-morning-brief]] 属同一 Cron Job + AI 摘要模式的 Newsletter 垂直场景。与 [[email-triage]] 属同一方法论的不同实现。
|
||||
|
||||
Key concepts: [[Email Triage]], [[Newsletter Digest]], [[Preference Learning]], [[Cron Job]], [[Multi-Agent Coordination]], [[Multi-Tool Integration]], [[MCP Tool Interface Design]], [[Workflow Architecture]], [[Shared Memory Architecture]], [[Private Context]], [[Single Control Plane]], [[Scheduled Task Flywheel]], [[Parallel Agent Execution]], [[Topic-Based Routing]], [[Voice Interface]], [[Telephony Integration]], [[PM Delegation Pattern]], [[CEO Pattern]], [[Shared State Coordination]], [[Git-as-Audit-Log]]
|
||||
Key concepts: [[Email Triage]], [[Newsletter Digest]], [[Preference Learning]], [[Cron Job]], [[Multi-Agent Coordination]], [[Multi-Tool Integration]], [[MCP Tool Interface Design]], [[Workflow Architecture]], [[Shared Memory Architecture]], [[Private Context]], [[Single Control Plane]], [[Scheduled Task Flywheel]], [[Parallel Agent Execution]], [[Topic-Based Routing]], [[Voice Interface]], [[Telephony Integration]], [[PM Delegation Pattern]], [[CEO Pattern]], [[Shared State Coordination]], [[Git-as-Audit-Log]], [[Dynamic-Dashboard]], [[Alerting]]
|
||||
|
||||
### Multi-Agent Monitoring & Automation
|
||||
**Dynamic Dashboard**:基于 [[OpenClaw]] 的多数据源实时监控仪表盘——通过子代理并行抓取 GitHub/Twitter/Polymarket/系统健康等多数据源,定时聚合结果推送 Discord,支持告警阈值和历史趋势存储。用对话式指令替代数周前端开发,立即获得实时洞察。与 [[self-healing-home-server]] 的系统监控场景关联,[[earnings-tracker]] 的市场数据监控场景扩展,[[content-factory]] 共享子代理并行执行模式。
|
||||
|
||||
### Cloud Transformation & DevOps
|
||||
Cloud Transformation Programme (CTP) materials cover AWS landing zones, EKS, Terraform, GitOps, FinOps, observability, security, and enterprise architecture. Key themes: 3 Lines of Defence framework, ITSM, container hardening, backup & DR strategies. DevOps culture focuses on four pillars: Collaboration, Automation (CI/CD, IaC), Continuous Improvement (Kaizen), and Customer-Centricity. Agile practices (Scrum, Kanban) are symbiotic with DevOps. Emerging trends: DevSecOps, GitOps, Serverless DevOps, AI/ML-driven automation, and Edge Computing DevOps.
|
||||
@@ -65,8 +68,12 @@ Covers Claude Code, Claude Code Templates (npx 一键安装 Skills/Agents/MCP vi
|
||||
|
||||
**Custom Morning Brief**:基于 [[OpenClaw]] 的晨间简报自动化——每天定时(例 8AM)通过 Telegram/Discord/iMessage 推送结构化报告,内容涵盖:新闻研究(AI/创业/科技方向)、当日待办事项(集成 Todoist/Apple Reminders/Asana)、主动任务推荐(AI 自主思考可帮助完成的事项)、睡前完成的完整草稿(脚本/邮件/商业方案,而非仅标题)。核心洞察:**主动任务推荐**是整个系统最有价值的部分——AI 主动思考如何帮助用户,而非被动等待指令;完整草稿(full draft)比标题建议节省大量时间;用户只需发消息即可调整简报内容,无门槛个性化。与 [[self-healing-home-server]] 的 Morning Briefing 属同一模式的不同垂直场景。
|
||||
|
||||
**Todoist Task Manager**:基于 [[OpenClaw]] 的 AI 驱动任务管理自动化——Agent 解析自然语言指令("这周完成 Q1 报告")→ 调用 Todoist REST API 创建结构化任务(含截止/项目/标签)→ Cron Job 定时扫描逾期任务主动推送提醒。与 [[multi-channel-assistant]] 中 Todoist 集成属同一技术栈,Todoist Task Manager 侧重任务管理的深度自动化(Cron 追踪/会议→任务闭环),multi-channel-assistant 侧重多渠道入口的统一体验。
|
||||
|
||||
**Health & Symptom Tracker**:基于 [[OpenClaw]] 的食物敏感性自动追踪方案——通过 Telegram 话题记录食物和症状,Cron Job 每日三餐定时提醒(8AM/1PM/7PM),OpenClaw 自动解析消息并带时间戳写入 Markdown 日志,每周分析关联模式识别潜在触发因素。无需专用 App,完全自托管。
|
||||
|
||||
**Habit Tracker & Accountability Coach**:基于 [[OpenClaw]] 的 AI 主动问责习惯追踪方案——通过 Telegram/SMS 每日定时签到,替代被动习惯追踪 App。与 [[Health & Symptom Tracker]] 属同一框架(OpenClaw + Telegram + Cron Job + 每周模式分析),但垂直于个人习惯养成而非健康追踪。核心洞察:**主动问责**(AI 直接询问)比被动记录更能驱动行为改变;保持 3-5 个习惯可避免签到疲劳;[[Adaptive Tone]] 自适应语气是关键差异化因素。
|
||||
|
||||
**AI-Powered Earnings Tracker**:基于 [[OpenClaw]] 的财报季自动化追踪方案——每周日 6PM 扫描财报日历并过滤用户关注公司(NVDA/MSFT/GOOGL/META/AMZN/TSLA/AMD),Telegram 投递预览列表;用户确认后为每家公司调度一次性 Cron Job,财报发布后自动搜索、格式化摘要(beat/miss、营收、EPS、AI 亮点、指引)并投递。与 [[Daily YouTube Digest]] 同属 Cron Job + AI 摘要 + Telegram 投递模式的不同实例。
|
||||
|
||||
**Event Guest Confirmation**:基于 [[OpenClaw]] + [[SuperCall]] 的活动嘉宾自动确认方案——通过 AI 语音电话批量外呼客人,确认出席状态并收集备注(饮食禁忌、Plus-One、到达时间等),通话完成后生成出席确认/未出席/未接听三分类摘要。核心价值:真人电话比短信/文字消息回复率更高;SuperCall 的沙盒 persona 设计确保 AI 只拥有预设上下文,无法访问用户 Agent 或数据,无 Prompt Injection 风险;每通电话独立重置,无对话间信息混淆。与 [[phone-based-personal-assistant]] 同属 AI 电话外呼场景,但 [[SuperCall]] 的独立沙盒设计更适用于确认类单一任务。
|
||||
@@ -85,7 +92,7 @@ Covers Claude Code, Claude Code Templates (npx 一键安装 Skills/Agents/MCP vi
|
||||
|
||||
**会议记录自动化**:[[meeting-notes-action-items]] 提供 AI Agent 自动将会议转录文本(Otter.ai、Google Meet、Zoom)转换为结构化摘要,自动从会议中提取行动项并创建 Jira/Linear/Todoist/Notion 任务,同时发送 Slack/Discord 摘要,支持截止日提醒。核心洞察:**自动任务创建**比摘要本身更有价值,无法转化为追踪任务的会议记录只是"文档剧场"。
|
||||
|
||||
Key concepts: [[MeetingNotes]], [[ActionItemTracking]], [[TaskAutomation]], [[TranscriptProcessing]], [[RAG从入门到精通系列]], [[Agent Personality Design]], [[Vibe Coding]], [[Design-to-Code Workflow]], [[Multi-AI Review]], [[CodeWeaver]], [[LLM Wiki]], [[多智能体系统可靠性]], [[Plan Mode]], [[Build Mode]], [[Workspace]], [[AGENTS.md]], [[SOUL.md]], [[USER.md]], [[IDENTITY.md]], [[TOOLS.md]], [[BOOTSTRAP.md]], [[HEARTBEAT.md]], [[MEMORY.md]], [[Agent-Memory]], [[Claude Code Templates]], [[MCP(Model Context Protocol)]], [[Remote-SSH]], [[Bind Mount]], [[Attach 容器]], [[Docker 用户组]], [[SSH Config]], [[SSH 免密登录]], [[Vibe-Kanban]], [[OpenCode]], [[nvm]], [[pm2]], [[单一职责原则]], [[DRY原则]], [[模块化编程]], [[微服务架构]], [[Redis缓存]], [[消息队列]], [[输入-处理-输出模型]], [[并发编程]], [[Pain Point Mining]], [[Startup MVP Pipeline]], [[Agent-Driven Market Research]], [[Last 30 Days Method]], [[Pre-Build Validation]], [[Reality-Signal]], [[Competition-Analysis]], [[Pivot-Strategy]], [[Agent-Build-Gate]]
|
||||
Key concepts: [[Morning Briefing]], [[Todoist API]], [[AI-Driven Task Extraction]], [[TaskAutomation]], [[Recurring Tasks]], [[MeetingNotes]], [[ActionItemTracking]], [[TranscriptProcessing]], [[RAG从入门到精通系列]], [[Agent Personality Design]], [[Vibe Coding]], [[Design-to-Code Workflow]], [[Multi-AI Review]], [[CodeWeaver]], [[LLM Wiki]], [[多智能体系统可靠性]], [[Plan Mode]], [[Build Mode]], [[Workspace]], [[AGENTS.md]], [[SOUL.md]], [[USER.md]], [[IDENTITY.md]], [[TOOLS.md]], [[BOOTSTRAP.md]], [[HEARTBEAT.md]], [[MEMORY.md]], [[Agent-Memory]], [[Claude Code Templates]], [[MCP(Model Context Protocol)]], [[Remote-SSH]], [[Bind Mount]], [[Attach 容器]], [[Docker 用户组]], [[SSH Config]], [[SSH 免密登录]], [[Vibe-Kanban]], [[OpenCode]], [[nvm]], [[pm2]], [[单一职责原则]], [[DRY原则]], [[模块化编程]], [[微服务架构]], [[Redis缓存]], [[消息队列]], [[输入-处理-输出模型]], [[并发编程]], [[Pain Point Mining]], [[Startup MVP Pipeline]], [[Agent-Driven Market Research]], [[Last 30 Days Method]], [[Pre-Build Validation]], [[Reality-Signal]], [[Competition-Analysis]], [[Pivot-Strategy]], [[Agent-Build-Gate]]
|
||||
|
||||
### Productivity & Knowledge Management
|
||||
Obsidian plugins, blogwatcher RSS monitoring, Quartz static site generation, project management systems, and personal CRM frameworks. QuickAdd plugin enables quick note capture via hotkeys for rapid idea recording.
|
||||
|
||||
50
wiki/sources/dynamic-dashboard.md
Normal file
50
wiki/sources/dynamic-dashboard.md
Normal file
@@ -0,0 +1,50 @@
|
||||
---
|
||||
title: "Dynamic Dashboard with Sub-agent Spawning"
|
||||
type: source
|
||||
tags: [dashboard, monitoring, OpenClaw, automation]
|
||||
date: 2026-04-17
|
||||
---
|
||||
|
||||
## Source File
|
||||
- [[Agent/usecases/dynamic-dashboard]]
|
||||
|
||||
## Summary(用中文描述)
|
||||
- 核心主题:基于子代理并行执行的多数据源实时监控仪表盘
|
||||
- 问题域:静态仪表盘数据过时、手动更新繁琐、轮询多 API 效率低且易触发限流
|
||||
- 方法/机制:主 Agent 生成子代理并行抓取多个数据源,定时更新,聚合结果推送 Discord,支持告警阈值和历史趋势存储
|
||||
- 结论/价值:用对话式描述替代数周的前端开发,立即获得实时洞察
|
||||
|
||||
## Key Claims(用中文描述)
|
||||
- 子代理并行执行可避免阻塞并分散 API 负载,避免顺序轮询导致的限流问题
|
||||
- 主 Agent 通过对话式指令调度子代理,无需编写前端代码即可获得实时仪表盘
|
||||
- 定时任务(Cron Job)与告警机制结合,实现"主动通知"而非"被动查询"
|
||||
- 历史指标存储在 PostgreSQL 数据库,支持趋势分析和历史数据回溯
|
||||
|
||||
## Key Quotes
|
||||
> "Static dashboards show stale data and require constant manual updates. You want real-time visibility across multiple data sources without building a custom frontend or hitting API rate limits." — 痛点描述
|
||||
> "OpenClaw spawns sub-agents to fetch each data source in parallel, aggregates the results, and delivers a formatted dashboard to Discord or as an HTML file." — 核心机制
|
||||
> "Updates run automatically on a cron schedule." — 自动化更新
|
||||
|
||||
## Key Concepts
|
||||
- [[Dynamic-Dashboard]]:基于子代理并行执行的多数据源实时监控仪表盘
|
||||
- [[Parallel-Agent-Execution]]:子代理并行抓取避免阻塞和分散 API 负载
|
||||
- [[Scheduled-Task-Flywheel]]:Cron Job 驱动的定时更新机制
|
||||
- [[Alerting]]:基于阈值的主动告警推送机制
|
||||
- [[Metrics-Database]]:PostgreSQL 存储历史指标供趋势分析
|
||||
|
||||
## Key Entities
|
||||
- [[OpenClaw]]:多代理框架,支撑子代理调度和定时任务编排
|
||||
- [[Discord]]:仪表盘结果推送渠道之一
|
||||
- [[PostgreSQL]]:指标历史数据库(metrics 表 + alerts 表)
|
||||
|
||||
## Connections
|
||||
- [[multi-agent-team]] ← depends_on ← [[dynamic-dashboard]](共享子代理编排模式)
|
||||
- [[self-healing-home-server]] ← extends ← [[dynamic-dashboard]](系统健康监控场景)
|
||||
- [[earnings-tracker]] ← extends ← [[dynamic-dashboard]](市场数据监控场景)
|
||||
- [[content-factory]] ← depends_on ← [[dynamic-dashboard]](社交媒体监控场景)
|
||||
|
||||
## Contradictions
|
||||
- 与 [[content-factory]] 冲突:
|
||||
- 冲突点:内容工厂也有并行执行模式,但侧重内容创作流水线
|
||||
- 当前观点:[[dynamic-dashboard]] 侧重数据监控和告警,聚合多数据源
|
||||
- 对方观点:[[content-factory]] 侧重内容创作的多 Agent 链式协作
|
||||
50
wiki/sources/habit-tracker-accountability-coach.md
Normal file
50
wiki/sources/habit-tracker-accountability-coach.md
Normal file
@@ -0,0 +1,50 @@
|
||||
---
|
||||
title: "Habit Tracker & Accountability Coach"
|
||||
type: source
|
||||
tags: []
|
||||
date: 2026-04-17
|
||||
---
|
||||
|
||||
## Source File
|
||||
- [[Agent/usecases/habit-tracker-accountability-coach.md]]
|
||||
|
||||
## Summary(用中文描述)
|
||||
- 核心主题:AI Agent 作为主动的习惯追踪与问责伙伴,通过 Telegram/SMS 每日定时签到,替代被动式习惯追踪 App
|
||||
- 问题域:现有习惯追踪 App 依赖用户主动打开,Push 通知容易被忽视,用户在一周后放弃
|
||||
- 方法/机制:主动问责模式——定时签到 + 连续打卡追踪 + 自适应语气调节 + 每周报告;技能栈:Telegram Bot API / Twilio SMS + Cron 调度 + 本地文件存储 + Google Sheets 可视化(可选)
|
||||
- 结论/价值:主动问责(active accountability)比被动追踪更能驱动行为改变;保持 3-5 个习惯的小规模可避免签到疲劳;每周模式分析能发现隐藏规律
|
||||
|
||||
## Key Claims(用中文描述)
|
||||
- 习惯 App 失败的根本原因不是 App 本身,而是追踪习惯这一行为是被动的(用户需要主动打开 App)
|
||||
- **主动问责**(active accountability)——由 AI 直接询问、庆祝胜利、在用户松懈时轻轻催促——才能真正驱动行为改变
|
||||
- 自适应语气是关键差异化因素:静态提醒会被忽视,而"第 15 天了,别断了"这样的消息具有真实激励效果
|
||||
- 追踪的习惯数量应保持在 3-5 个——太多会导致签到疲劳,用户会开始忽略消息
|
||||
- 每周模式分析出人意料地有用——用户会发现类似"我总是在有早会的日子不运动"这样的规律,从而提前规划
|
||||
|
||||
## Key Quotes
|
||||
> "The problem isn't the app — it's that tracking habits is passive." — OpenClaw 官方文档
|
||||
> "Day 12 of morning workouts. Solid." — 自定义确认完成回复示例
|
||||
> "When I miss a habit, don't guilt-trip me. Just acknowledge it and remind me why I started." — 自定义错失习惯回复语气指南
|
||||
> "Keep the number of tracked habits small (3-5). Tracking too many leads to check-in fatigue and you'll start ignoring the messages." — 关键洞察
|
||||
|
||||
## Key Concepts
|
||||
- [[Adaptive Tone]]:AI 根据用户表现动态调整语气——连续完成时给予鼓励(encouraging),连续错失时保持温和坚持(gently persistent)。静态提醒容易被忽略,个性化消息具有真实激励效果
|
||||
- [[Streak Tracking]]:记录每个习惯的当前连续打卡天数,在消息中引用,让用户直观看到积累的成果,形成心理激励
|
||||
- [[Check-in Fatigue]]:当追踪的习惯数量过多(>5个)时,用户会因签到负担过重而开始忽略消息,导致系统失效
|
||||
- [[Weekly Pattern Analysis]]:每周日汇总分析本周完成率、最长连续天数,发现隐藏的行为模式(如"总是在周五跳过阅读"),用于下周建议
|
||||
- [[Active Accountability]]:AI Agent 主动发消息询问用户,而非等待用户主动打开 App,是区别于传统习惯追踪 App 的核心机制
|
||||
|
||||
## Key Entities
|
||||
- [[OpenClaw]]:多 Agent 框架,提供记忆(memory)和 session_spawn/sessions_send 能力,是本方案的底层运行平台
|
||||
- [[Telegram Bot API]]:Telegram 官方 Bot API,用于每日签到消息的发送和接收,无需额外 App
|
||||
- [[Twilio]]:短信 API,用于 SMS 渠道的每日签到,适合没有 Telegram 的用户
|
||||
- [[Google Sheets API]]:可选集成,将每日习惯数据自动写入 Google Sheets 生成可视化仪表盘
|
||||
|
||||
## Connections
|
||||
- [[Health & Symptom Tracker]] ← pairs_with ← [[Habit Tracker & Accountability Coach]]
|
||||
- [[Habit Tracker & Accountability Coach]] ← shares_pattern ← [[Custom Morning Brief]](定时 Cron Job + AI 推送模式)
|
||||
- [[Habit Tracker & Accountability Coach]] ← shares_pattern ← [[Daily YouTube Digest]](定时 Cron Job + AI 摘要推送模式)
|
||||
- [[Habit Tracker & Accountability Coach]] ← shares_tech_stack ← [[Todoist Task Manager]](Telegram + Cron Job 集成)
|
||||
|
||||
## Contradictions
|
||||
- 与传统习惯追踪 App(如 Streaks、Habitica)的对比:传统 App 强调被动记录和视觉激励(成就徽章、等级);本方案强调主动询问和个性化文字激励。两者并非互斥,可互补使用。
|
||||
56
wiki/sources/todoist-task-manager.md
Normal file
56
wiki/sources/todoist-task-manager.md
Normal file
@@ -0,0 +1,56 @@
|
||||
---
|
||||
title: "Todoist Task Manager"
|
||||
type: source
|
||||
tags: [agent, productivity, task-management, automation, ai]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Source File
|
||||
- [[raw/Agent/usecases/todoist-task-manager.md]]
|
||||
|
||||
## Summary(用中文描述)
|
||||
- 核心主题:AI Agent 通过 Todoist API 实现自然语言驱动的任务管理自动化
|
||||
- 问题域:个人/团队任务管理的效率瓶颈——手动创建任务、设置截止日期、分配优先级耗时且易遗漏
|
||||
- 方法/机制:Agent 解析用户自然语言指令 → 调用 Todoist REST API 创建/更新/查询任务 → 定时 Cron Job 主动提醒未完成任务
|
||||
- 结论/价值:用户只需发一条消息即可完成"创建任务+设截止+加标签+分配项目"全套操作,AI 主动追踪逾期任务并定期推送简报
|
||||
|
||||
## Key Claims(用中文描述)
|
||||
- Agent 通过自然语言理解,将"这周完成 Q1 报告"转换为 Todoist API 的结构化任务创建请求(主体+截止+项目+标签)
|
||||
- Todoist Sync API 支持实时双向同步,Agent 创建的任务可立即在 Todoist Web/移动端查看,反之亦然
|
||||
- Cron Job 定时扫描 Todoist 的"逾期任务"过滤器,主动推送提醒消息,比用户手动检查更可靠
|
||||
- 与日历工具(Google Calendar)联动:会议结束后自动创建跟进任务,实现"会议即任务"的闭环
|
||||
|
||||
## Key Quotes
|
||||
> "Simply message your AI agent: 'Remind me to call the dentist every 6 months' and it creates a recurring Todoist task with the right interval — no manual setup needed." — 使用场景示例
|
||||
|
||||
> "The agent monitors your Todoist inbox, extracting tasks from emails and messages, then categorizes and schedules them automatically." — 自动化任务录入
|
||||
|
||||
## Key Concepts
|
||||
- [[Todoist REST API]]:Todoist 官方 API,支持任务创建/更新/查询/评论,OAuth2 认证
|
||||
- [[Todoist Sync API]]:实时双向同步协议,支持 WebSocket 推送变更
|
||||
- [[Recurring Tasks]]:重复任务机制,支持自然语言周期描述(every Monday, every 6 months)
|
||||
- [[AI-Driven Task Extraction]]:从非结构化文本(邮件/消息/会议记录)中提取任务要素(谁/做什么/何时)
|
||||
- [[Task Automation Pipeline]]:自然语言 → 结构化解析 → API 调用 → 结果确认
|
||||
- [[Morning Briefing Integration]]:Todoist 逾期任务/今日任务接入晨间简报
|
||||
- [[Meeting-to-Task Workflow]]:会议结束 → 自动创建跟进任务 → 分配截止和项目
|
||||
|
||||
## Key Entities
|
||||
- [[Todoist]]:Doist 公司开发的跨平台任务管理工具,支持多设备同步、标签、项目、子任务
|
||||
- [[Todoist AI(Beta)]]:Todoist 内置的 AI 功能,支持自然语言创建任务,但 Agent 集成提供更深度的工作流自动化
|
||||
- [[Doist]]:Todoist 背后的公司,同时开发 Twist(团队沟通)和 Corona(健康追踪)
|
||||
- [[OpenClaw]]:多 Agent 框架,通过 sessions_spawn/sessions_send 调用外部 API,可集成 Todoist API 实现任务自动化
|
||||
- [[SuperCall]]:AI 语音电话系统,与 Todoist 结合可实现"电话确认任务 → 自动创建 Todoist 项目"的语音驱动工作流
|
||||
|
||||
## Connections
|
||||
- [[Custom Morning Brief]] ← depends_on ← [[Todoist Task Manager]]:Todoist 的今日任务和逾期任务构成晨报的重要内容来源
|
||||
- [[Phone-Based Personal Assistant]] ← extends ← [[Todoist Task Manager]]:语音指令 → Agent 解析 → Todoist API 创建任务
|
||||
- [[Multi-Channel Assistant]] ← depends_on ← [[Todoist Task Manager]]:Telegram/Discord/iMessage 的文字指令最终汇聚到 Todoist 作为任务执行层
|
||||
- [[Event Guest Confirmation]] ← extends ← [[Todoist Task Manager]]:确认出席的客人 → 自动创建"发送地址/准备材料"等跟进任务
|
||||
- [[Market Research & Product Factory]] ← extends ← [[Todoist Task Manager]]:AI 发现的产品机会 → 自动创建"验证 MVP/写 PRD"等任务并追踪
|
||||
- [[Todoist Task Manager]] ← depends_on ← [[n8n]]:n8n Workflow 可作为 Todoist 与其他工具(邮件/日历/CRM)集成的中间层
|
||||
|
||||
## Contradictions
|
||||
- 与 [[Project State Management]] 冲突:
|
||||
- 冲突点:Todoist 是传统的"任务列表+截止日"模式;[[Project State Management]] 强调用 Markdown 事件流记录每个决策/进展
|
||||
- 当前观点:对于简单任务管理,Todoist 的结构化字段(截止/优先级/项目)更直观,Agent API 调用简单
|
||||
- 对方观点:Markdown 事件流保留完整上下文,支持任意扩展字段,不需要账号授权,数据完全自托管
|
||||
Reference in New Issue
Block a user