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Agent Skill · 研究检索

openclaw-skill-parallel-tasks(OpenClaw 技能 parallel tasks)

openclaw-skill-parallel-tasks 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

openclaw-skill-parallel-tasks 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 34,348。

总安装 2,234周安装 95GitHub Stars 公开资料未说明下载 783核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openclaw-skill-parallel-tasks(OpenClaw 技能 parallel tasks)
来源仓库:https://github.com/qiukui666/openclaw-skill-parallel-tasks
安装命令:
openclaw skills install openclaw-skill-parallel-tasks
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install openclaw-skill-parallel-tasks

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

并行执行多个任务并具备超时与错误隔离机制。适合同时处理多项子任务以提升整体效率。实时反馈进度并支持中断异常进程。openclaw-skill-parallel-tasks 属于研究检索类 Skill,可作为该场景下的辅助能力补充。需合理设置超时阈值防止资源长期占用。建议监控并发数量以免超出系统承载极限。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install openclaw-skill-parallel-tasks;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

openclaw-skill-parallel-tasks 怎么安装?

在终端执行 openclaw skills install openclaw-skill-parallel-tasks。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

openclaw-skill-parallel-tasks 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

openclaw-skill-parallel-tasks 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install openclaw-skill-parallel-tasks 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

openclaw-skill-parallel-tasks 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

openclaw-skill-parallel-tasks 用的人多吗?

公开数据是累计安装 2,234 次,近一周安装 95 次,下载 783 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

openclaw-skill-parallel-tasks 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
openclaw-skill-parallel-tasks

OpenClaw 技能 parallel tasks · 本页

2,234—执行命令MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
parallel-tasks
description
Execute multiple tasks in parallel with timeout protection, error isolation, and real-time progress feedback. Use when user says "run these in parallel", "parallel execution", "concurrent tasks", or wants multiple independent tasks done simultaneously with proper error handling and timeout control.

Parallel Tasks Skill

Execute multiple tasks in parallel with enterprise-grade reliability: timeout protection, error isolation, and real-time progress feedback.

When to Use

Use this skill when:

  • User says "run these in parallel" or "do these simultaneously"
  • Multiple independent tasks need to be executed at once
  • User wants faster results by running tasks concurrently
  • Tasks are slow and user wants to avoid waiting sequentially

Core Concept

Serial vs Parallel:

SERIAL (slow):
Task 1 → Task 2 → Task 3  (5min + 5min + 5min = 15min)

PARALLEL (fast):
Task 1 ─┬─> (5min total, not 15min)
Task 2 ─┼─>
Task 3 ─┘

Usage

Basic Parallel Execution

/parallel
- Task 1: Search for docs
- Task 2: Search for code
- Task 3: Search for examples

Named Tasks with Custom Timeout

/parallel timeout=300
- [search-docs] Search for relevant documentation
- [search-code] Find similar implementations
- [analyze] Analyze the results

CLI Usage (scripts/executor.ts)

# Simple usage
node scripts/executor.ts "Research AI trends" "Research market analysis"

# Named tasks with custom timeout
node scripts/executor.ts --timeout 600 \
  --task "[research] Research AI trends" \
  --task "[implement] Build the feature"

# Read from file (one task per line)
node scripts/executor.ts --tasks-file my-tasks.txt --max-concurrent 3

# Named task formats (all equivalent):
# - [name] description
# - - description (auto-named as task-1, task-2, ...)
# - 1. description

Implementation

Core Execution Pattern

The executor uses a semaphore pattern with configurable concurrency:

// 1. Parse tasks from input
const tasks = parseTaskInput(input)

// 2. Execute tasks with concurrency control
const results: TaskResult[] = []
const executing: Promise<void>[] = []

for (const task of tasks) {
  // Wait if at max concurrency
  if (executing.length >= maxConcurrent) {
    await Promise.race(executing)
  }

  const promise = runTask(task).then(result => {
    results.push(result)
    // Remove from executing list
    const idx = executing.indexOf(promise)
    if (idx > -1) executing.splice(idx, 1)
  })

  executing.push(promise)
}

await Promise.all(executing)

Task Execution via hermes cli

async function executeTaskViaSpawn(
  task: Task,
  timeoutSeconds: number
): Promise<TaskResult> {
  const taskId = `parallel-${Date.now()}-${randomId()}`

  return new Promise((resolve) => {
    const proc = spawn('hermes', [
      'cli', '--',
      'sessions_spawn',
      '--task', `"${task.description}"`,
      '--label', `"${task.name}"`,
      '--timeout', String(timeoutSeconds),
      '--session-id', taskId
    ], { stdio: ['ignore', 'pipe', 'pipe'] })

    // Timeout handling
    const timeoutId = setTimeout(() => {
      proc.kill('SIGTERM')
      resolve({
        name: task.name,
        status: 'timeout',
        duration: Date.now() - startTime,
        error: `Exceeded ${timeoutSeconds}s timeout`
      })
    }, timeoutSeconds * 1000)

    proc.on('close', (code, signal) => {
      clearTimeout(timeoutId)
      if (signal === 'SIGTERM') {
        resolve({ name: task.name, status: 'timeout', ... })
      } else if (code === 0) {
        resolve({ name: task.name, status: 'fulfilled', ... })
      } else {
        resolve({ name: task.name, status: 'rejected', ... })
      }
    })
  })
}

Timeout Protection

OptionDefaultDescription
timeout300Default timeout per task (seconds)
Per-task timeout-Override global timeout for specific tasks

Behavior: Task auto-terminates after timeout, other tasks continue.

Error Isolation

Each task runs in complete isolation:

ProblemSerialParallel (This Skill)
One task failsAll others stopOnly failed task affected
One task hangsBlocks entire flowOthers continue normally
One task times outMay cascadeContained, others finish

Concurrency Control

OptionDefaultDescription
maxConcurrent5Maximum tasks running simultaneously

Pattern: Semaphore-style - starts N tasks, when one completes, starts next.

Progress Feedback

Real-time terminal output with colored status:

🚀 Starting 3 tasks in parallel (max 5 concurrent)...

🔄 [task-1] Starting (timeout: 300s)...
🔄 [task-2] Starting (timeout: 300s)...
🔄 [task-3] Starting (timeout: 300s)...
✅ [1/3] [task-1] Complete (23.5s)
✅ [2/3] [task-2] Complete (45.2s)
⏱️  [3/3] [task-3] Timeout after 300s

Task Input Formats

1. Named Tasks (Recommended)

[research] Research AI trends and write report
[implement] Build the feature
[test] Write comprehensive tests

2. Bullet List

- Search for API documentation
- Find relevant code examples
- Check for existing implementations

3. Numbered List

1. Research authentication patterns
2. Design database schema
3. Implement API endpoints

4. Plain Text (auto-named)

Research AI trends
Build the feature
Write tests

→ Auto-named: task-1, task-2, task-3

Output Format

Success Case

✅ Parallel Execution Complete
   3 tasks: 2 succeeded, 1 failed (45.2s total)

┌─────────────────────┬────────────┬────────────┐
│ Task                │ Status     │ Duration   │
├─────────────────────┼────────────┼────────────┤
│ research            │ ✅ fulfilled│ 23.5s      │
│ implement           │ ✅ fulfilled│ 45.2s      │
│ test                │ ⏱️ timeout  │ 300.0s    │
└─────────────────────┴────────────┴────────────┘

❌ Failed Tasks:
   • test: Exceeded 300s timeout

Exit Codes

CodeMeaning
0All tasks succeeded
1Some tasks failed or timed out

Options

CLI Options

OptionDefaultDescription
--timeout, -to300Timeout per task (seconds)
--max-concurrent, -m5Max concurrent tasks
--stop-on-errorfalseStop all if one fails
--no-progressfalseSuppress progress output
--tasks-file, -f-Read tasks from file
--parse-Parse stdin to JSON

Per-Task Options (in task description)

[name] description (timeout=600)

Error Handling

Error Types

StatusCauseBehavior
fulfilledTask succeededReturns result value
timeoutExceeded timeoutTask terminated, others continue
rejectedProcess errorError captured, others continue
cancelledUser cancelledAll running tasks terminate
no_replyNo outputReported as warning

Best Practices

  1. Independent tasks first: Tasks should not depend on each other
  2. Set reasonable timeouts: Don't set 5min if task should take 30s
  3. Use named tasks: Easier to debug when something fails
  4. Keep tasks focused: One clear goal per task
  5. Mind concurrency: Don't set maxConcurrent higher than system can handle

Examples

Example 1: Research Multiple Topics

node scripts/executor.ts \
  "Research Claude Code best practices" \
  "Find OpenClaw skill examples" \
  "Search for agent design patterns"

Example 2: Named Tasks from File

# tasks.txt:
# [research] Research AI trends
# [implement] Build the feature
# [test] Write tests

node scripts/executor.ts --tasks-file tasks.txt --timeout 600

Example 3: Parallel Implementation

node scripts/executor.ts --timeout 600 \
  --task "[backend] Implement user authentication API" \
  --task "[frontend] Build login form component" \
  --task "[database] Create users table migration"

Example 4: Web Scraping

node scripts/executor.ts \
  --task "[store1] Fetch product data from store1.com" \
  --task "[store2] Fetch product data from store2.com" \
  --task "[store3] Fetch product data from store3.com"

Anti-Patterns

❌ Don't use for dependent tasks:

# WRONG - second task depends on first!
node scripts/executor.ts \
  "Create user account" \
  "Send welcome email"

Use sequential execution instead.

❌ Don't use for very fast tasks:

# WRONG - spawning overhead not worth it
node scripts/executor.ts "Read file A" "Read file B" "Read file C"

The overhead of spawning parallel sessions isn't worth it for sub-second tasks.

Related Skills

  • subagents - Background agent spawning
  • batch-operations - Bulk file operations
  • workflow-orchestrator - Complex multi-step workflows

平台分布

OpenClaw

70.69%
按下载量换算554

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install openclaw-skill-parallel-tasks 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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