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MitchellkellerLG
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orchestration

Coordinate worker agents to decompose, parallelize, and synthesize complex tasks.

2|Updated Jan 9, 2026
Search Tags:#workflow#multi-agent#coordination#synthesis#orchestrator#task-management
One-click install
npx skills add https://github.com/MitchellkellerLG/claude-workspace-template --skill orchestration-mitchellkellerlg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestration
Source: https://github.com/MitchellkellerLG/claude-workspace-template/tree/main/.claude/skills/orchestrator
Command: npx skills add https://github.com/MitchellkellerLG/claude-workspace-template --skill orchestration-mitchellkellerlg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill acts as the conductor for Claude's multi-agent orchestration, coordinating worker agents to decompose complex requests, run parallel tasks, and synthesize outputs into a coherent result.

Core Features & Use Cases

  • Flexible task orchestration: decomposes user requests into parallel tasks and manages dependencies with TaskCreate, TaskUpdate, and TaskList.
  • Agent coordination: spawns background worker agents to execute tasks while the orchestrator focuses on coordination.
  • Synthesis and delivery: aggregates agent outputs into a final, user-facing deliverable.
  • Use Case: Planning a feature, reviewing a PR, or debugging across multiple components with parallel work streams.

Quick Start

  • Provide a user request such as "Review PR #123" or "Plan a feature" to initiate orchestration.
  • The orchestrator will decompose the request, spawn worker tasks, monitor progress, and synthesize results.
  • Read the synthesized output and act on it.

Frequently Asked Questions about orchestration

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

FAQPage Schema
How do I coordinate multiple worker agents to parallelize a complex feature development task?▼

Multi-agent orchestration decomposes complex feature requests into parallel tasks managed with TaskCreate, TaskUpdate, and TaskList, spawning background workers to execute them and synthesizing outputs into actionable guidance.

What is the best way to run parallel analysis streams during a multi-step PR review?▼

Parallel analysis during PR reviews is handled by an orchestrator that spawns background worker agents to analyze different components simultaneously, aggregating their outputs into a final coherent deliverable.

Can I use task-management commands to manage dependencies when planning a multi-component debugging workflow?▼

Task-management commands like TaskCreate and TaskUpdate manage dependencies by decomposing multi-step debugging requests into parallel work streams, coordinating background workers, and synthesizing results.

Does multi-agent orchestration work without installing additional dependencies?▼

Multi-agent orchestration works without external dependencies, relying on internal task-management commands to coordinate worker agents, parallelize tasks, and synthesize outputs into a final user-facing deliverable.

When should I not use parallel workflow orchestration for software engineering tasks?▼

Parallel workflow orchestration is not suited for simple, sequential tasks that lack decomposable sub-tasks, as the overhead of spawning background worker agents and synthesizing outputs outweighs the coordination benefits.

How do I initiate orchestration to decompose a user request into background tasks?▼

Initiate orchestration by providing a request like "Plan a feature" or "Review PR #123"; the orchestrator automatically decomposes it, spawns worker tasks, monitors progress, and synthesizes results.

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