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Taskboardai Skill

<skill <name taskboard</name <description Manage tasks and projects using the TaskBoardAI Kanban system. CRITICAL LIFECYCLE RULES: 1. Create : When a new task is identified, create it in the 'To Do' column. 2. Execute : IMMEDIATELY after creating a task or when asked to work on one , move it to 'In Progress' Doing . Do not leave active tasks in 'To Do'. 3. Block : If a task cannot be completed e.g., missing API key, network error , move it to 'Blocked' and note the reason in the content. 4. Comp

hyddd0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install hyddd/taskboardai-skill

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

CRITICAL LIFECYCLE RULES:
1. **Create**: When a new task is identified, create it in the 'To Do' column.
2. **Execute**: IMMEDIATELY after creating a task (or when asked to work on one), move it to 'In Progress' (Doing). Do not leave active tasks in 'To Do'.
3. **Block**: If a task cannot be completed (e.g., missing API key, network error), move it to 'Blocked' and note the reason in the content.
4. **Complete**: When finished, update the card content with the FINAL RESULT/SUMMARY, then move it to 'Done'.

NOTE: The main body/result of the card must be stored in the 'content' field (Markdown supported), not 'description'.

来源信息

Source
github
Repository
openclaw/skills
Path
skills/hyddd/taskboardai-skill
Version
—
Commit
0e6303a7431752537a9df87a8882f2b92c83d63e
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

TaskBoard Skill for Clawdbot

这是一个为 Clawdbot 打造的 TaskBoardAI 集成技能。它允许 Clawdbot 通过 MCP (Model Context Protocol) 协议,直接在后台管理任务看板,实现“意图识别 -> 任务创建 -> 执行 -> 归档”的全自动化工作流。

核心功能

  • 全生命周期管理:支持创建 (Todo)、执行 (Doing)、阻塞 (Blocked)、完成 (Done) 四种状态的自动流转。
  • MCP 深度集成:使用 stdio 模式与 TaskBoard 后端直接通信,无需维护额外的 HTTP 服务。
  • 内容自适应:自动修复了 TaskBoard 前端渲染 content 字段而非 description 字段的问题。
  • 条件反射协议:配合 AGENTS.md,实现通过关键字“【任务】”触发自动建卡。

安装与配置

1. 前置依赖

本技能依赖于 TaskBoardAI。请先全局安装:

npm install -g taskboardai
2. 安装 Skill

将本目录克隆至你的 Clawdbot 工作区:

cd ~/clawd/skills
git clone https://github.com/hyddd/taskboard_skill.git taskboard
3. 配置路径

检查 SKILL.md 中的 <arg> 路径是否指向你系统中真实的 kanbanMcpServer.js 位置:

<arg>/opt/homebrew/lib/node_modules/taskboardai/server/mcp/kanbanMcpServer.js</arg>

使用方法

在与 Clawdbot 的对话中:

  • 创建任务:“【任务】调研量化框架”
  • 查询任务:“现在有哪些进行中的任务?”
  • 更新状态:“那个调研任务做完了,结论是...”

工作流协议 (AGENTS.md)

为了获得最佳体验,建议在你的 AGENTS.md 中添加以下协议:

## Task Protocol (TaskBoard Integration)
**Trigger:** When user input contains "【任务】" (or you determine a task needs tracking):

### 1. Initiate (Create & Start)
1.  **Call `taskboard` skill** immediately.
2.  **Create Card:** In the "Todo" column.
    - Title: The core task name.
    - Content: Full context + "Owner: Clawdbot".
3.  **Start Execution:** Immediately move the card to the "Doing" (In Progress) column.
4.  **Announce:** "Task [Title] created and started."

### 2. Execute & Update
1.  **Perform the work:** Use available tools (web_search, etc.) to fulfill the task.
2.  **If Blocked:...

来源内容

SKILL.md
<skill>
  <name>taskboard</name>
  <description>
    Manage tasks and projects using the TaskBoardAI Kanban system.
    
    CRITICAL LIFECYCLE RULES:
    1. **Create**: When a new task is identified, create it in the 'To Do' column.
    2. **Execute**: IMMEDIATELY after creating a task (or when asked to work on one), move it to 'In Progress' (Doing). Do not leave active tasks in 'To Do'.
    3. **Block**: If a task cannot be completed (e.g., missing API key, network error), move it to 'Blocked' and note the reason in the content.
    4. **Complete**: When finished, update the card content with the FINAL RESULT/SUMMARY, then move it to 'Done'.
    
    NOTE: The main body/result of the card must be stored in the 'content' field (Markdown supported), not 'description'.
  </description>
  <mcp_server>
    <command>node</command>
    <args>
      <arg>/opt/homebrew/lib/node_modules/taskboardai/server/mcp/kanbanMcpServer.js</arg>
    </args>
  </mcp_server>
</skill>
README
# TaskBoard Skill for Clawdbot

这是一个为 **Clawdbot** 打造的 **TaskBoardAI** 集成技能。它允许 Clawdbot 通过 MCP (Model Context Protocol) 协议,直接在后台管理任务看板,实现“意图识别 -> 任务创建 -> 执行 -> 归档”的全自动化工作流。

## 核心功能

*   **全生命周期管理**:支持创建 (Todo)、执行 (Doing)、阻塞 (Blocked)、完成 (Done) 四种状态的自动流转。
*   **MCP 深度集成**:使用 stdio 模式与 TaskBoard 后端直接通信,无需维护额外的 HTTP 服务。
*   **内容自适应**:自动修复了 TaskBoard 前端渲染 `content` 字段而非 `description` 字段的问题。
*   **条件反射协议**:配合 `AGENTS.md`,实现通过关键字“【任务】”触发自动建卡。

## 安装与配置

### 1. 前置依赖
本技能依赖于 [TaskBoardAI](https://github.com/taskboardai/taskboardai)。请先全局安装:

```bash
npm install -g taskboardai
```

### 2. 安装 Skill
将本目录克隆至你的 Clawdbot 工作区:

```bash
cd ~/clawd/skills
git clone https://github.com/hyddd/taskboard_skill.git taskboard
```

### 3. 配置路径
检查 `SKILL.md` 中的 `<arg>` 路径是否指向你系统中真实的 `kanbanMcpServer.js` 位置:
```xml
<arg>/opt/homebrew/lib/node_modules/taskboardai/server/mcp/kanbanMcpServer.js</arg>
```

## 使用方法

在与 Clawdbot 的对话中:
*   **创建任务**:“【任务】调研量化框架”
*   **查询任务**:“现在有哪些进行中的任务?”
*   **更新状态**:“那个调研任务做完了,结论是...”

## 工作流协议 (AGENTS.md)

为了获得最佳体验,建议在你的 `AGENTS.md` 中添加以下协议:

```markdown
## Task Protocol (TaskBoard Integration)
**Trigger:** When user input contains "【任务】" (or you determine a task needs tracking):

### 1. Initiate (Create & Start)
1.  **Call `taskboard` skill** immediately.
2.  **Create Card:** In the "Todo" column.
    - Title: The core task name.
    - Content: Full context + "Owner: Clawdbot".
3.  **Start Execution:** Immediately move the card to the "Doing" (In Progress) column.
4.  **Announce:** "Task [Title] created and started."

### 2. Execute & Update
1.  **Perform the work:** Use available tools (web_search, etc.) to fulfill the task.
2.  **If Blocked:...

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