Dispatching Parallel Agents

Dispatching Parallel Agents is an AI Engineering skill for Claude Code, published by jnMetaCode in superpowers-zh.

7.7K stars729 forkson jnMetaCode/superpowers-zhAdded 2026/08/15Repository updated 2026/08/12

agent-skillsagentic-codingai-codingchineseclaude-codecode-reviewcursorgemini-clikiromcpnpm-packageprompt-engineeringskillssuperpowerstddtrae

Install in seconds

Install Dispatching Parallel Agents

Copy Dispatching Parallel Agents into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/jnMetaCode/superpowers-zh/tree/main/skills/dispatching-parallel-agents ~/.claude/skills/dispatching-parallel-agents

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/jnMetaCode/superpowers-zh.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/dispatching-parallel-agents/SKILL.md in jnMetaCode/superpowers-zh
Installs to: ~/.claude/skills/dispatching-parallel-agents
Collection: One of 20 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Dispatching Parallel Agents does

Dispatching Parallel Agents delegates independent debugging tasks to parallel subagents with isolated contexts, so each can work on a separate problem without interference. Use it when multiple unrelated test failures or subsystem issues can be investigated concurrently.

Dispatching Parallel Agents is cataloged under AI Engineering on DirSkills. Dispatching Parallel Agents comes from a repository tagged agent-skills, agentic-coding, ai-coding, chinese and claude-code.

Documentation

README

Excerpt

并行分派智能体

概述

你将任务委派给具有隔离上下文的专用智能体。通过精心设计它们的指令和上下文，确保它们专注并成功完成任务。它们不应继承你的会话上下文或历史记录——你要精确构造它们所需的一切。这样也能为你自己保留用于协调工作的上下文。

当你遇到多个不相关的失败（不同的测试文件、不同的子系统、不同的 bug），逐一排查会浪费时间。每个排查都是独立的，可以并行进行。

核心原则： 每个独立问题域分派一个智能体，让它们并发工作。

何时使用

digraph when_to_use {
    "存在多个失败?" [shape=diamond];
    "它们是否独立?" [shape=diamond];
    "单个智能体排查所有问题" [shape=box];
    "每个问题域一个智能体" [shape=box];
    "能否并行工作?" [shape=diamond];
    "顺序执行智能体" [shape=box];
    "并行分派" [shape=box];

    "存在多个失败?" -> "它们是否独立?" [label="是"];
    "它们是否独立?" -> "单个智能体排查所有问题" [label="否 - 有关联"];
    "它们是否独立?" -> "能否并行工作?" [label="是"];
    "能否并行工作?" -> "并行分派" [label="是"];
    "能否并行工作?" -> "顺序执行智能体" [label="否 - 有共享状态"];
}

适用场景：

3 个以上测试文件因不同根因失败
多个子系统独立出现故障
每个问题无需其他问题的上下文即可理解
排查之间无共享状态

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Dispatching Parallel Agents

What else does jnMetaCode publish alongside Dispatching Parallel Agents?
Dispatching Parallel Agents is one of 20 skills that DirSkills catalogs from jnMetaCode/superpowers-zh, the repository it ships in. Its siblings there include Brainstorming, Chinese Code Review and Chinese Commit Conventions. Each one is a separate skill with its own page in this directory, installs the same way Dispatching Parallel Agents does, and is maintained by jnMetaCode in that same repository. The rest of the collection is listed on the jnMetaCode/superpowers-zh page.
How does Dispatching Parallel Agents compare to other AI Engineering skills?
Dispatching Parallel Agents ranks #417 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Dispatching Parallel Agents against them. Open each page to compare what they document and how they install.