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Task Dispatch

用于任务看板的自动调度 Skill:巡检 API 中 executionMode=auto 的待办任务,按优先级派发子代理执行,解析 completion_signal 并验收后置为 review,循环执行直到无任务。另含 ClawBoard 看板部署指引与 cron 定时调度配置。

cccaptain0129
cccaptain0129
热度 54.15
最近更新 2026-05-18 11:21:18
分类:自动化依赖:代码执行 / 读写文件 / 第三方 API / 内部调用大模型应用场景:任务管理 / 工作流 / 自动化脚本 / 日程安排

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add task-dispatch
Metadata
name
task-dispatch
description
Task scheduling and dispatching for task boards. Use when setting up periodic task dispatch, checking for dispatchable tasks, creating subagents to execute tasks, or verifying task completion. Supports task board APIs like ClawBoard.

Task Dispatch

Automated task scheduling and execution for task management systems.

Quick Start

用户说"设置任务调度"或"部署 ClawBoard"时,按以下流程引导:

Step 1: 检测环境

# 检查 Node.js
node --version  # 需要 >= 18

# 检查 ClawBoard 是否已安装
ls -la ~/ClawBoard 2>/dev/null || echo "ClawBoard not installed"

Step 2: 部署 ClawBoard(如未安装)

# 克隆仓库
git clone https://github.com/CCCaptain0129/ClawBoard.git ~/ClawBoard
cd ~/ClawBoard

# 安装依赖并初始化
./clawboard install

# 生成访问 token(自动保存到 .env)
./clawboard token --generate

Step 3: 启动服务

cd ~/ClawBoard
./clawboard start

# 检查状态
./clawboard status

Step 4: 配置 Agent 环境

在 Agent 工作目录创建 .env 文件:

# 获取 token
TOKEN=$(cat ~/ClawBoard/.env | grep BOARD_ACCESS_TOKEN | cut -d= -f2)

# 写入 Agent 工作目录
echo "TASKBOARD_API_URL=http://127.0.0.1:3000" >> ~/.openclaw/workspace-<name>/.env
echo "TASKBOARD_ACCESS_TOKEN=$TOKEN" >> ~/.openclaw/workspace-<name>/.env

Step 5: 打开看板

Step 6: 设置定时调度(可选)

用户说"设置定时调度"时:

{
  "name": "ClawBoard 调度巡检",
  "schedule": { "kind": "every", "everyMs": 300000 },
  "payload": {
    "kind": "agentTurn",
    "message": "执行 task-dispatch 调度检查。无任务时返回 HEARTBEAT_OK。"
  },
  "sessionTarget": "isolated",
  "delivery": { "mode": "none" }
}

Agent Role

You are a dispatcher, not an executor.

  • Your job: plan, dispatch, verify, update status
  • NOT your job: implement tasks yourself
  • Task execution: delegated to subagents
  • You verify results and update task status

Data Source of Truth

What Source
Task data API endpoint (e.g., http://127.0.0.1:3000/api/tasks/...)
Task files tasks/*.json (written by API)
Project docs projects/<project-name>/docs/
NOT source of truth Frontend dashboard (view only)

ClawBoard Deployment Guide

Prerequisites

  • Node.js >= 18
  • Git
  • PM2 (auto-installed by ./clawboard install)

Installation Commands

Command Description
./clawboard install Install dependencies, create .env
./clawboard start Start frontend + backend services
./clawboard stop Stop all services
./clawboard status Check service health
./clawboard token Show current access token
./clawboard token --generate Generate new token

Verification Checklist

After deployment, verify:

  1. ✅ Backend API responds: curl http://127.0.0.1:3000/health
  2. ✅ Frontend loads: open http://127.0.0.1:5173
  3. ✅ Token works: curl -H "Authorization: Bearer $TOKEN" http://127.0.0.1:3000/api/tasks/projects
  4. ✅ Agent .env configured with token

Common Issues

Issue Solution
Port 3000 in use lsof -i :3000 then kill process
Port 5173 in use lsof -i :5173 then kill process
Token not working Regenerate with ./clawboard token --generate
Services not starting Check logs in ~/ClawBoard/logs/

Dispatch Operations

Overview

This skill enables agents to:

  1. Check task boards for dispatchable tasks
  2. Spawn subagents to execute tasks
  3. Verify completion and update task status
  4. Continue dispatching until no tasks remain (no waiting for next cron)

Key Principle: Continuous Dispatch

触发一次 → 循环执行直到无任务 → 结束

而不是:

触发一次 → 派发一个任务 → 等待下次触发

Dispatch Loop

def dispatch_loop():
    while True:
        task = select_dispatchable_task()
        if not task:
            return HEARTBEAT_OK  # 本轮结束
        
        # 派发并等待完成
        result = spawn_and_wait(task)
        
        # 验收
        if result.success:
            update_task(task.id, status="review")
        else:
            update_task(task.id, status="failed", blockingReason=result.error)
        
        # 【关键】立即继续下一轮,不返回
        # 循环会自动检查下一个任务

API Reference

Get Projects

GET {TASKBOARD_API_URL}/api/tasks/projects
Authorization: Bearer {TOKEN}

Get Tasks

GET {TASKBOARD_API_URL}/api/tasks/projects/{projectId}/tasks
Authorization: Bearer {TOKEN}

Create Project

POST {TASKBOARD_API_URL}/api/tasks/projects
Authorization: Bearer {TOKEN}
Content-Type: application/json

{
  "id": "my-project",
  "name": "My Project",
  "description": "...",
  "taskPrefix": "MP",
  "color": "#3B82F6",
  "icon": "📁"
}

Create Task

POST {TASKBOARD_API_URL}/api/tasks/projects/{projectId}/tasks
Authorization: Bearer {TOKEN}
Content-Type: application/json

{
  "title": "Task title",
  "description": "...",
  "status": "todo",
  "priority": "P1",
  "executionMode": "auto",
  "assignee": "agent-id"
}

Update Task

PUT {TASKBOARD_API_URL}/api/tasks/projects/{projectId}/tasks/{taskId}
Authorization: Bearer {TOKEN}
Content-Type: application/json

{
  "status": "in-progress",
  "claimedBy": "agent-id"
}

Task Selection Rules

A task is dispatchable if ALL conditions are met:

Condition Requirement
executionMode "auto"
status "todo" or "in-progress" (unclaimed)
assignee Empty or null
claimedBy Empty or null
dependencies All have status: "done"

Priority Order

  1. P0 > P1 > P2 > P3
  2. Same priority: earlier createdAt first

Subagent Execution

Prepare Dispatch Context

Before spawning subagent, prepare context using the Dispatch Template:

See references/dispatch-template.md for full template.

Required fields to fill:

  • Task Identity (from task data)
  • Goal (one sentence)
  • Hard Constraints (what NOT to do)
  • Deliverables (from task.deliverables)
  • Acceptance Criteria (from task.acceptanceCriteria)
  • Output Format (completion_signal block)

Spawn with Wait

Use sessions_spawn with the dispatch context:

{
  "runtime": "subagent",
  "mode": "run",
  "task": "<filled dispatch template>",
  "timeoutSeconds": 300
}

The main agent should:

  1. Fill dispatch template with task context
  2. Spawn subagent with the template
  3. Wait for completion (blocking or polling)
  4. Parse completion_signal from response
  5. Verify deliverables and update status
  6. Immediately continue to next task

Completion Signal

Subagent must return a completion_signal block:

task_id: <taskId>
status: done | blocked
summary: <one sentence summary>
deliverables: <comma-separated paths>
next_step: <N/A if done; blocking reason if blocked>

Parse this block to determine task outcome:

  • status: done → Verify deliverables, update to review
  • status: blocked → Update to failed with blockingReason

Status Transitions

todo → in-progress → review → done
                ↓         ↓
              failed    failed

Important: Tasks go to review after subagent completes, not directly to done. User or main agent verifies before done.


Verification Checklist

After subagent completes, verify:

  1. Deliverables exist

    • Check all paths in deliverables array
    • Files should be non-empty
  2. Acceptance criteria met

    • Review each criterion
    • Mark pass/fail
  3. Update status

    • All pass → review
    • Any fail → failed with blockingReason

Heartbeat Response

When triggered by cron/heartbeat:

  • No dispatchable tasks: Return HEARTBEAT_OK (silent, no message to user)
  • Tasks dispatched: Report results, then check for more
  • Continue until empty: Don't stop after one task

Failure Handling

When a task fails or has no valid execution:

  1. Record the reason in blockingReason field
  2. Clear invalid occupation (claimedBy)
  3. Return task to actionable state (todo or in-progress)
  4. Never fail silently - always log or report

Common Failure Scenarios

Scenario Action
Subagent timeout Set failed, clear claimedBy, log reason
Subagent returns blocked Set failed with blockingReason
Deliverables missing Set failed, clear claimedBy
API error Log error, skip this round, try next time

Dispatch Principles

  1. Only dispatch executionMode=auto tasks
  2. Priority order: todo first, then unclaimed in-progress
  3. Respect assignee: Don't re-dispatch if assignee is set
  4. Verify before done: Tasks go to review first, then done after verification

Configuration

See references/config.md for:

  • Task board adapters
  • Priority mappings
  • Execution timeouts
  • Retry policies

Example Usage

Deploy ClawBoard

"部署 ClawBoard 看板"

Setup with User Guidance

"帮我设置任务调度系统"

Manual Dispatch (runs until empty)

"检查任务看板,派发所有待执行任务"

Setup Periodic Check

"设置每10分钟自动检查任务"

The cron will trigger the dispatch loop, which runs until no tasks remain.