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Parallel Task Executor

多任务并行执行管理器。接收多条指令并同步执行,支持优先级调度、任务依赖、结果收集和进度跟踪。适用于需要并发处理多个独立任务的场景。

MIT-0 · Free to use, modify, and redistribute. No attribution required.
2 · 2k · 7 current installs · 7 all-time installs
MIT-0
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Purpose & Capability
Name/description match the instructions and references: the skill is a scheduler/executor that recognizes tasks (file ops, shell commands, network requests, browser actions) and runs them concurrently. The described capabilities are coherent with a 'parallel task executor'.
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Instruction Scope
SKILL.md explicitly instructs the agent to identify and run file operations, shell commands, browser actions, HTTP/API requests and database queries. The instructions are permissive and leave decision-making to 'automatic recognition' with no explicit safety checks, confirmation prompts, allowlists/deny‑lists, or limits on paths/endpoints — that broad discretion can lead to execution of sensitive actions without explicit user consent.
Install Mechanism
Instruction-only skill with no install spec and no code files. This is lowest install risk (nothing written to disk by an installer).
Credentials
The skill declares no required env vars or credentials, but supports actions (network/API calls, DB queries, downloads/uploads, shell commands, file read/write) that typically require credentials or access to local files. It also references a user config path (~/.openclaw/openclaw.json). The lack of declared credential usage or guidance for secure credential handling is a missing justification and operational detail.
!
Persistence & Privilege
always:false (good). However default autonomous invocation is allowed (disable-model-invocation:false) — combined with the skill's open-ended instructions to run commands and access files/networks, autonomous invocation increases the blast radius. The skill does not request persistent privileges or modify other skills, but the combination of autonomous calls + vague guardrails is concerning.
What to consider before installing
This skill appears to do what it claims, but it will instruct the agent to run arbitrary shell/file/network/browser/database operations. Before installing, consider: 1) Only enable if you trust the author; 2) Disable autonomous invocation (require explicit user invocation) so the agent cannot run it without your approval; 3) Run it in a sandboxed environment or test account; 4) Ensure it cannot access sensitive paths or credentials — do not store secrets in global env vars; 5) Ask the maintainer how credential provisioning and safety checks (confirmation prompts, allowlists, path/network restrictions, logging) are handled; 6) If you proceed, monitor actions and review generated ~/.openclaw/openclaw.json for unexpected settings. If you need higher assurance, request a code implementation (not just prose) and an audit of how commands are executed and how inputs are sanitized.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

SKILL.md

多任务并行执行管理器

核心能力

接收用户的多条指令,自动识别任务类型、优先级和依赖关系,并在并发执行池中同步处理。

任务队列管理

任务注册

当收到多条指令时,自动注册为独立任务:

{
  "task_id": "task_123",
  "command": "下载文件",
  "priority": 1,
  "status": "pending",
  "created_at": "2026-02-05T22:30:00Z",
  "depends_on": []
}

优先级系统

优先级级别:

  • P0 - 最高优先级(紧急任务)
  • P1 - 高优先级(重要任务)
  • P2 - 中优先级(普通任务)
  • P3 - 低优先级(可选任务)

调度策略:

  1. 高优先级任务优先执行
  2. 同优先级任务按时间戳 FIFO
  3. 低优先级任务在系统空闲时执行

并发执行池

执行模式

同步执行模式:

{
  "mode": "parallel",
  "max_concurrent": 4,
  "tasks": [
    { "task_id": 1, "command": "任务1" },
    { "task_id": 2, "command": "任务2" },
    { "task_id": 3, "command": "任务3" }
  ]
}

串行执行模式:

{
  "mode": "serial",
  "tasks": [
    { "task_id": 1, "command": "任务1" },
    { "task_id": 2, "command": "任务2" },
    { "task_id": 3, "command": "任务3" }
  ]
}

并发控制

  • 最大并发数: 默认 4
  • 超时时间: 默认 30 秒
  • 重试次数: 默认 3
  • 资源限制: CPU、内存、I/O

任务类型识别

自动识别的任务类型

  1. 文件操作

    • 创建/删除文件
    • 移动/重命名文件
    • 下载/上传文件
  2. 浏览器操作

    • 打开网页
    • 填写表单
    • 截图
  3. 命令执行

    • Shell 命令
    • 脚本执行
    • 应用程序启动
  4. 数据处理

    • 解析 JSON/XML
    • 文件转换
    • 数据计算
  5. 网络请求

    • HTTP 请求
    • API 调用
    • 数据库查询

任务调度流程

接收指令 → 任务注册 → 优先级排序 → 执行池分配 → 并发执行 → 结果收集 → 报告生成

详细流程

  1. 接收指令

    • 解析用户的多条消息
    • 提取任务命令
    • 识别任务类型
  2. 任务注册

    • 生成唯一任务 ID
    • 设置优先级
    • 检查依赖关系
  3. 优先级排序

    • 按 P0→P1→P2→P3 排序
    • 同优先级按时间排序
  4. 执行池分配

    • 最多 N 个并发任务
    • 检查系统资源
    • 分配到执行槽
  5. 并发执行

    • 执行任务
    • 实时进度更新
    • 错误处理
  6. 结果收集

    • 收集所有任务结果
    • 合并成功/失败状态
    • 生成报告

进度追踪

实时进度

{
  "total_tasks": 5,
  "completed": 2,
  "running": 2,
  "pending": 1,
  "progress": "40%",
  "eta": "预计剩余 30 秒"
}

任务状态

  • pending - 等待中
  • running - 执行中
  • completed - 已完成
  • failed - 失败
  • cancelled - 已取消

结果报告

执行报告

{
  "execution_id": "exec_456",
  "total_tasks": 5,
  "completed": 4,
  "failed": 1,
  "success_rate": "80%",
  "duration": "45.2秒",
  "tasks": [
    {
      "task_id": 1,
      "command": "创建文件",
      "status": "completed",
      "result": "成功",
      "duration": "2.1秒"
    },
    {
      "task_id": 2,
      "command": "下载文件",
      "status": "completed",
      "result": "成功",
      "duration": "18.5秒"
    }
  ]
}

错误处理

错误恢复策略

  1. 自动重试

    • 失败任务自动重试
    • 最多重试 3 次
    • 指数退避策略
  2. 错误隔离

    • 单个任务失败不影响其他任务
    • 失败任务独立处理
    • 失败报告详细
  3. 错误通知

    • 实时错误状态
    • 失败原因分析
    • 建议解决方案

使用示例

示例1:多条独立任务

# 用户发送
"创建文件A,创建文件B,下载文件C"

# 系统自动处理为 3 个并发任务
# 结果:
# ✓ 任务1: 创建文件A - 成功
# ✓ 任务2: 创建文件B - 成功
# ✓ 任务3: 下载文件C - 成功

示例2:带优先级任务

# 用户发送
"高优先级:删除临时文件,中优先级:备份文件,低优先级:整理文档"

# 系统按优先级排序执行
# 结果:
# ✓ 高优先级:删除临时文件 - 成功
# ✓ 中优先级:备份文件 - 成功
# ✓ 低优先级:整理文档 - 成功

示例3:任务依赖

# 用户发送
"先创建目录,再创建文件"

# 系统自动识别依赖关系
# 结果:
# ✓ 任务1: 创建目录 - 成功
# ✓ 任务2: 创建文件 - 成功(依赖任务1完成)

配置参数

可在 ~/.openclaw/openclaw.json 中配置:

{
  "parallel-executor": {
    "max_concurrent_tasks": 4,
    "task_timeout_seconds": 30,
    "max_retries": 3,
    "default_priority": "P1",
    "enable_progress_tracking": true,
    "enable_error_recovery": true
  }
}

最佳实践

任务拆分原则

  • 将复杂任务拆分为独立小任务
  • 避免任务间强依赖
  • 合理设置任务优先级

并发控制

  • 高优先级任务可提高并发数
  • 避免过度并发导致系统负载过高
  • 监控系统资源使用

错误处理

  • 允许部分失败
  • 详细记录错误信息
  • 提供恢复建议

资源

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