orchestrator

Coordinate multiple Worker Agents for complex tasks with parallel execution and session recovery.

2|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/Throokie/claude-code-skills --skill orchestrator-throokie
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/Throokie/claude-code-skills/tree/main/skills/orchestrator
Command: npx skills add https://github.com/Throokie/claude-code-skills --skill orchestrator-throokie

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Orchestrator Pro addresses the challenge of coordinating multiple specialized agents to complete complex tasks efficiently, reliably, and with traceable decision-making.

Core Features & Use Cases

  • Lead-Worker orchestration with task planning and execution
  • Parallel/subtask execution and API key rotation
  • Session recovery, archiving, and result aggregation
  • Use cases span research, development, code review, and documentation across long-running projects

Quick Start

Start by routing an intent with route-intent.mjs to trigger orchestration.

Frequently Asked Questions about orchestrator

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

FAQPage Schema
How do I coordinate multiple agents to tackle complex tasks?

You start multi-agent orchestration by routing an intent through route-intent.mjs. This triggers the Lead Agent to plan tasks, delegate to Worker Agents, and manage parallel execution across long-running operations.

How does multi-agent orchestration handle long-running operations?

Multi-agent orchestration handles long-running operations through session recovery and archiving. This allows the Lead Agent to resume interrupted tasks, maintain secure isolation, and aggregate results reliably across extended execution periods.

Can I automate API key rotation during parallel subtask execution?

Yes, you can automate API key rotation during parallel subtask execution. The orchestration framework supports rotating API keys natively to distribute load and prevent rate limits when multiple Worker Agents operate concurrently.

What is task decomposition in a lead-worker agent architecture?

Task decomposition in a lead-worker architecture is the process where a Lead Agent breaks down a complex intent into smaller subtasks. These subtasks are distributed to specialized Worker Agents for parallel execution and traceable result aggregation.

Does multi-agent orchestration work without external dependencies?

Yes, multi-agent orchestration works without external dependencies. The skill operates entirely using internal scripts to manage task planning, routing, session recovery, and secure isolation without requiring additional packages or libraries.

When should I not use a multi-agent orchestration approach?

You should not use multi-agent orchestration for simple, single-step tasks that do not require parallel execution or complex planning. Overhead from Lead-Worker coordination and session management makes it unsuitable for lightweight, isolated operations.