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parallel-execution并行执行

Agent Skill

parallel-execution 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

250

周安装

10

GitHub Stars

公开资料未说明

下载量

81
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:parallel-execution(并行执行)
来源仓库:https://github.com/squirrel289/pax
仓库路径:skills/parallel-execution
安装命令:
npx skills add https://github.com/squirrel289/pax --skill parallel-execution
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/squirrel289/pax --skill parallel-execution

简介

parallel-execution 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 它支持通过指定仓库、路径或关键词进行信息聚合与过滤,适用于研究、数据整理等场景。
  • 可通过 npx skills add 命令从 GitHub 安装,具体用法需结合原始 README 进一步确认。
  • 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。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Parallel Execution

CRITICAL: This skill teaches how to execute multiple tasks simultaneously for maximum efficiency.

The Fundamental Rule

ALL runSubagent calls MUST be in a SINGLE function_calls block for true parallelism.

If runSubagent calls are in separate messages, they run SEQUENTIALLY, not in parallel.


Why Parallel Execution Matters

Sequential (SLOW - AVOID)

Message 1: Start Task A
           ↓ wait for completion
Message 2: Start Task B
           ↓ wait for completion
Message 3: Start Task C
           ↓ wait for completion

Total time = A + B + C = 90 seconds (if each takes 30s)

Parallel (FAST - USE THIS)

Message 1: Start Task A ─┐
           Start Task B ─┼─ All run simultaneously
           Start Task C ─┘

Total time ≈ max(A, B, C) = 30 seconds

Speedup: 3x faster with 3 parallel tasks


How to Execute in Parallel

Step 1: Identify Independent Tasks

Tasks are independent when:

  • They don't depend on each other's output
  • They don't modify the same files
  • They can run in any order

Step 2: Launch ALL Tasks in ONE Message

Launch all runSubagent calls in a single function_calls block:

<!-- CORRECT: All tasks in single function_calls block = PARALLEL -->
<function_calls>
<invoke name="runSubagent">
<parameter name="description">Analyze authentication module</parameter>
<parameter name="prompt">Review src/auth for security patterns...</parameter>
</invoke>
<invoke name="runSubagent">
<parameter name="description">Analyze API layer</parameter>
<parameter name="prompt">Review src/api for REST best practices...</parameter>
</invoke>
<invoke name="runSubagent">
<parameter name="description">Analyze database layer</parameter>
<parameter name="prompt">Review src/db for query optimization...</parameter>
</invoke>
</function_calls>

Step 3: Collect and Synthesize Results

After all tasks complete, combine their findings into a unified response.


Parallelization Patterns

Pattern 1: Task-Based Parallelization

When you have N independent tasks, spawn N subagents:

Implementation Plan:

1. Implement auth module
2. Create API endpoints
3. Add database schema
4. Write unit tests
5. Update documentation

Launch 5 parallel subagents:
├─ Subagent 1: Implement auth module
├─ Subagent 2: Create API endpoints
├─ Subagent 3: Add database schema
├─ Subagent 4: Write unit tests
└─ Subagent 5: Update documentation

All 5 in ONE message!

Pattern 2: Directory-Based Parallelization

Analyze different directories simultaneously:

Codebase Structure:
├── src/auth/
├── src/api/
├── src/db/
└── src/ui/

Launch 4 parallel subagents:
├─ Subagent 1: Analyze src/auth
├─ Subagent 2: Analyze src/api
├─ Subagent 3: Analyze src/db
└─ Subagent 4: Analyze src/ui

Pattern 3: Perspective-Based Parallelization

Review from multiple angles at once:

Code Review Perspectives:

- Security vulnerabilities
- Performance bottlenecks
- Test coverage gaps
- Architecture patterns

Launch 4 parallel subagents:
├─ Subagent 1: Security review
├─ Subagent 2: Performance analysis
├─ Subagent 3: Test coverage review
└─ Subagent 4: Architecture assessment

Pattern 4: Adversarial Verification

Use conflicting mandates for thorough review:

Verification Subagents (all parallel):
├─ Syntax & Type Checker
├─ Test Runner
├─ Lint & Style Checker
├─ Security Scanner
└─ Build Validator

Then (sequential, after above complete):
├─ False Positive Filter
├─ Missing Issues Finder
└─ Context Validator

TodoList Integration

When using parallel execution, mark ALL parallel tasks as in_progress simultaneously:

Before Launching Parallel Tasks

{
  "todos": [
    {
      "content": "Analyze auth module",
      "status": "in_progress",
      "activeForm": "Analyzing auth module"
    },
    {
      "content": "Analyze API layer",
      "status": "in_progress",
      "activeForm": "Analyzing API layer"
    },
    {
      "content": "Analyze database layer",
      "status": "in_progress",
      "activeForm": "Analyzing database layer"
    },
    {
      "content": "Synthesize findings",
      "status": "pending",
      "activeForm": "Synthesizing findings"
    }
  ]
}

After Each Task Completes

Mark as completed as results come in:

{
  "todos": [
    {
      "content": "Analyze auth module",
      "status": "completed",
      "activeForm": "Analyzing auth module"
    },
    {
      "content": "Analyze API layer",
      "status": "completed",
      "activeForm": "Analyzing API layer"
    },
    {
      "content": "Analyze database layer",
      "status": "in_progress",
      "activeForm": "Analyzing database layer"
    },
    {
      "content": "Synthesize findings",
      "status": "pending",
      "activeForm": "Synthesizing findings"
    }
  ]
}

When to Parallelize

Good Candidates

ScenarioParallel Approach
Multiple independent analysesOne subagent per analysis
Multi-file processingOne subagent per file/directory
Different review perspectivesOne subagent per perspective
Multiple independent featuresOne subagent per feature
Exploratory researchMultiple search strategies

When NOT to Parallelize

ScenarioWhy Sequential
Tasks with dependenciesB needs A's output
Same file modificationsRisk of conflicts
Sequential workflowsOrder matters (commit → push → PR)
Shared stateRace conditions
Limited resourcesOverwhelming the system

Performance Impact

# Parallel TasksSequential TimeParallel TimeSpeedup
260s30s2x
390s30s3x
5150s30s5x
10300s30s10x

Assuming each task takes ~30 seconds


Common Mistakes

Mistake 1: Separate Messages

WRONG (Sequential):
Message 1: "I'll start analyzing the auth module..."
<invoke name="runSubagent">Analyze auth</invoke>
Message 2: "Now let me analyze the API..."
<invoke name="runSubagent">Analyze API</invoke>

RIGHT (Parallel):
Message 1: "I'll analyze all modules in parallel..."
<function_calls>
<invoke name="runSubagent">Analyze auth</invoke>
<invoke name="runSubagent">Analyze API</invoke>
<invoke name="runSubagent">Analyze DB</invoke>
</function_calls>

Mistake 2: Announcing Before Acting

WRONG:
"I'm going to launch three parallel tasks to analyze the codebase."
[waits for response]
"Now launching the tasks..."

RIGHT:
"Launching three parallel analysis tasks now:"
<function_calls>
<invoke name="runSubagent">...</invoke>
<invoke name="runSubagent">...</invoke>
<invoke name="runSubagent">...</invoke>
</function_calls>

Mistake 3: Forgetting Synthesis

WRONG:
Just dump all task outputs without integration

RIGHT:
After receiving all results, synthesize:

- Identify common themes
- Resolve contradictions
- Prioritize findings
- Create unified recommendations

Parallel Execution Checklist

Before launching parallel tasks, verify:

  • Tasks are truly independent
  • No shared file modifications
  • No sequential dependencies
  • All tasks in SINGLE function_calls block
  • TodoList updated with all in_progress
  • Synthesis step planned

Template: Parallel Analysis

## Launching Parallel Analysis

I'm analyzing this codebase from multiple perspectives simultaneously.

### Parallel Tasks

<function_calls>
<invoke name="runSubagent">
<parameter name="description">Security Review</parameter>
<parameter name="prompt">Analyze for security vulnerabilities, focusing on:

- Authentication/authorization
- Input validation
- Secrets handling</parameter>
  </invoke>

<invoke name="runSubagent">
<parameter name="description">Performance Review</parameter>
<parameter name="prompt">Analyze for performance issues, focusing on:
- N+1 queries
- Memory leaks
- Blocking operations</parameter>
</invoke>

<invoke name="runSubagent">
<parameter name="description">Test Coverage Review</parameter>
<parameter name="prompt">Analyze test coverage, focusing on:
- Missing test cases
- Edge cases
- Integration tests</parameter>
</invoke>
</function_calls>

### Synthesis (after all complete)

[Combine findings into prioritized report]

Quick Reference

RULE #1:
ALL runSubagent calls in SINGLE function_calls block = PARALLEL
runSubagent calls in SEPARATE messages = SEQUENTIAL

PATTERNS:
Task-based: One subagent per task
Directory-based: One subagent per directory
Perspective-based: One subagent per viewpoint
Adversarial: Multiple competing reviewers

TODOLIST:
Mark ALL parallel tasks as in_progress BEFORE launching
Mark each as completed AFTER receiving results

SPEEDUP:
N parallel tasks ≈ Nx faster
(5 tasks @ 30s each: 150s → 30s)

CHECKLIST:
☐ Tasks independent?
☐ No shared files?
☐ No dependencies?
☐ All in ONE function_calls block?
☐ Synthesis planned?

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.31%
按下载量换算27

Claude

30.29%
按下载量换算25

Cursor

18.17%
按下载量换算15

Gemini CLI

10.09%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/squirrel289/pax --skill parallel-execution 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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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