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AI EngineeringPython

Dispatching Parallel Agents

by GanyuanRan

Dispatching Parallel Agents is an AI Engineering skill for Claude Code, published by GanyuanRan in Aegis.

1.1K stars50 forkson GanyuanRan/AegisAdded 2026/08/21+2% in starsRepository updated 2026/08/19
agent-skillsai-agentsai-codingarchitecture-driven-developmentawsome-coding-pluginbaseline-firstclaude-codecodexcoding-agentsdivedsh-pluginevidence-drivenfirst-principlesopencodesoftware-architecturespec-driven-developmentspec-kit
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/GanyuanRan/Aegis/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/GanyuanRan/Aegis.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 GanyuanRan/Aegis
Installs to
~/.claude/skills/dispatching-parallel-agents
Collection
One of 22 skills cataloged from this repository
Category
AI Engineering2451 skills

What Dispatching Parallel Agents does

Dispatching Parallel Agents delegates unrelated tasks to separate agents with isolated context. Use it when 2+ independent problems can be worked in parallel; otherwise handle them inline or with a planned subagent workflow.

Dispatching Parallel Agents is cataloged under AI Engineering on DirSkills. Dispatching Parallel Agents comes from a repository tagged agent-skills, ai-agents, ai-coding, architecture-driven-development and awsome-coding-plugin.

Documentation

README

Dispatching Parallel Agents

Overview

You delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history — you construct exactly what they need. This also preserves your own context for coordination work.

When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel.

Core principle: Dispatch one agent per independent problem domain. Let them work concurrently.

When to Use

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

Frequently asked about Dispatching Parallel Agents

  • What else does GanyuanRan publish alongside Dispatching Parallel Agents?

    Dispatching Parallel Agents is one of 22 skills that DirSkills catalogs from GanyuanRan/Aegis, the repository it ships in. Its siblings there include Aegis Goal Framing, Anti-Entropy Governance and Brainstorming. 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 GanyuanRan in that same repository. The rest of the collection is listed on the GanyuanRan/Aegis page.

  • How does Dispatching Parallel Agents compare to other AI Engineering skills?

    Dispatching Parallel Agents ranks #1281 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.

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