subagent-orchestrator

Set up coordinator-worker subagent orchestration for GitHub Copilot workflows.

Updated Mar 6, 2026
One-click install
npx skills add https://github.com/Zoimback/copilot-dev-core --skill subagent-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: subagent-orchestrator
Source: https://github.com/Zoimback/copilot-dev-core/tree/main/.github/skills/subagent-orchestrator
Command: npx skills add https://github.com/Zoimback/copilot-dev-core --skill subagent-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill enables the creation of sophisticated multi-agent workflows by establishing a coordinator-agent that delegates tasks to specialized worker agents, improving efficiency and context management.

Core Features & Use Cases

  • Coordinator-Worker Pattern: Implement a main agent that manages overall workflow and delegates subtasks.
  • Context Isolation: Keeps the coordinator's context focused on orchestration.
  • Parallel Execution: Allows VS Code to run multiple subagents simultaneously for faster processing.
  • Specialization: Enables worker agents to have specific tools and models for their jobs.
  • Use Case: Building a new feature where a 'Planner' agent breaks down tasks, an 'Architect' validates the plan, an 'Implementer' writes code, and a 'Reviewer' checks the implementation, all managed by a central coordinator.

Quick Start

Use this skill to set up a coordinator-agent that delegates tasks to specialized worker agents for a multi-step workflow.

Frequently Asked Questions about subagent-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-agent workflows with GitHub Copilot?▼

Multi-agent workflows in GitHub Copilot are orchestrated by setting up a coordinator agent that delegates subtasks to specialized worker agents, managing the overall process and improving context isolation.

What is the coordinator-worker pattern for AI agents?▼

The coordinator-worker pattern uses a main agent to manage an overall workflow and delegate subtasks to specialized worker agents, keeping the coordinator's context focused strictly on orchestration.

How do I build an agent pipeline for complex multi-step tasks?▼

You build an agent pipeline by configuring a central coordinator to sequentially invoke specialized worker agents, such as a Planner, Architect, Implementer, and Reviewer, to handle distinct phases of a complex task.

Can I run multiple subagents in parallel in VS Code?▼

Yes, VS Code can run multiple subagents simultaneously, allowing the coordinator agent to dispatch and execute specialized worker tasks in parallel for faster processing.

Do I need specific tools to specialize worker agents in a multi-agent system?▼

Worker agents can be configured with specific tools and models tailored for their specialized jobs, ensuring they have the exact capabilities needed to execute their delegated subtasks effectively.

When should I use multi-agent orchestration instead of a single agent?▼

You should use multi-agent orchestration for complex multi-step workflows that benefit from agent delegation, context isolation, and specialized worker tools rather than overloading a single agent's context.