Dispatching Parallel Agents

Dispatching Parallel Agents is an AI Engineering skill for Claude Code, published by coco-research in coco.

218 stars11 forkson coco-research/cocoAdded 2026/09/04Repository updated 2026/09/03

agent-skillsagents-mdaiai-agentsclaude-codecodexcursordeveloper-toolsllm-toolsmcppm-toolsproduct-managementproductivityprompt-engineeringworkflow-automation

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/coco-research/coco/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/coco-research/coco.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 coco-research/coco
Installs to: ~/.claude/skills/dispatching-parallel-agents
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2970 skills

What Dispatching Parallel Agents does

Dispatching Parallel Agents is used when 2+ independent problems can be investigated without shared state or sequential dependencies. It helps split work into focused agents that run concurrently and report back for integration.

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

Documentation

README

Excerpt

Dispatching Parallel Agents

Overview

Announce at start: "Dispatching Parallel Agents skill activated."

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 coco-research publish alongside Dispatching Parallel Agents?
Dispatching Parallel Agents is one of 25 skills that DirSkills catalogs from coco-research/coco, the repository it ships in. Its siblings there include AI Marketing Videos, AI Product Development and API Design Principles. 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 coco-research in that same repository. The rest of the collection is listed on the coco-research/coco page.
How does Dispatching Parallel Agents compare to other AI Engineering skills?
Dispatching Parallel Agents ranks #2604 by stars among the 2970 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.