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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 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install hyddd/taskboardai-skill

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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'.

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/hyddd/taskboardai-skill
Version
—
Commit
0e6303a7431752537a9df87a8882f2b92c83d63e
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

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:...

Contenu extrait

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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