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Parallel Execution

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> 并行执行框架:基于 Git worktree 的多实例并行、任务分发与动态扩展。 当任务可拆分、需要加速执行、或需要多分支并行开发时使用。

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  • Added September 12, 2026
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npx -y skills add thedixitjain/the-mega-skill-library --skill parallel-execution --agent claude-code

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SKILL.md
---
name: parallel-execution
description: "> 并行执行框架:基于 Git worktree 的多实例并行、任务分发与动态扩展。 当任务可拆分、需要加速执行、或需要多分支并行开发时使用。"
category: engineering-core
source_repo: hashgraph-online/awesome-codex-plugins
source_path: "plugins/Colin4k1024/tsp/skills/parallel-execution/SKILL.md"
source_url: https://github.com/hashgraph-online/awesome-codex-plugins/blob/HEAD/plugins/Colin4k1024/tsp/skills/parallel-execution/SKILL.md
---


# Parallel Execution Framework

## 用途

- 任务并行:拆分可独立执行的任务并并行处理
- 分支隔离:使用 Git worktree 实现多分支并行开发
- 资源扩展:根据任务复杂度动态扩展执行实例
- 级联执行:串联依赖任务,并行独立任务

## 核心概念

### 1. 任务类型

| 类型 | 说明 | 并行策略 |
|------|------|---------|
| `independent` | 无依赖,可立即执行 | 并行 |
| `sequential` | 依赖前一任务输出 | 串行 |
| `parallel` | 多个独立任务 | 并行 |
| `cascade` | 主任务触发子任务 | 级联 |

### 2. Git Worktree 并行

```
worktree add <path> <branch>  # 创建新 worktree
worktree list                  # 列出所有 worktree
worktree prune                 # 清理无效 worktree
```

### 3. 扩展策略

- **Scale Out**:增加并行实例数(横向扩展)
- **Scale Up**:提升实例规格(纵向扩展)
- **Cascade**:主任务完成后触发子任务

## 触发信号

- 任务可明确拆分为多个独立子任务
- 需要在多个分支上并行开发
- 任务耗时超过 10 分钟且可拆分
- 需要同时验证多个方案

## 使用约束

1. 任务拆分后,每个子任务必须有明确的输入输出
2. 并行任务之间不能有写冲突
3. 需要共享的状态通过文件或消息传递
4. 主任务负责汇总子任务结果
5. 失败处理:部分失败时,主任务决定是重试、跳过还是中止

## 配套工具

- `scripts/lib/parallel_execution.py` - 底层并行执行接口
- `GitWorktreeManager` - worktree 管理
- `TaskDistributor` - 任务分发
- `ResultAggregator` - 结果汇总

## 命令接入

- `/parallel <task描述>` - 分解并并行执行任务
- `/worktree-create <branch>` - 创建 worktree 分支
- `/worktree-list` - 列出所有 worktree
- `/scale-out <num>` - 扩展到 N 个并行实例

---

**Source:** [`hashgraph-online/awesome-codex-plugins`](https://github.com/hashgraph-online/awesome-codex-plugins) → `plugins/Colin4k1024/tsp/skills/parallel-execution/SKILL.md`

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  • SKILL.md2.5 KB
  • agents/openai.yaml1.6 KB

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