What is the primary function of the Orchestrator skill?

The Orchestrator skill allows Claude to manage multiple autonomous worker agents simultaneously, executing different parts of a development plan in parallel to save time.

Are there any dependencies for using this skill?

Yes, you must load the maestro-core skill first, as Orchestrator relies on it for routing tables and fallback policies.

Does it support Test-Driven Development (TDD)?

Yes, workers spawned by the Orchestrator follow a strict Red-Green-Refactor cycle by default to ensure code quality and reliability.

Can I use Orchestrator for simple tasks?

While possible, it is an anti-pattern. Orchestrator is designed for complex, multi-track projects. For simple tasks, the sequential conductor-implement workflow is recommended.

How does Orchestrator prevent agents from overwriting each other's work?

It uses a file reservation system where agents must reserve specific files before editing and release them only after the task is complete, ensuring no two agents edit the same file at once.

Maestro Orchestrator

Name: Maestro Orchestrator
Author: ReinaMacCredy

byReinaMacCredy

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Productivity & Workflow

Manages parallel execution of multiple autonomous AI agents to accelerate complex development tasks through coordinated workflows.

About

The Orchestrator skill empowers Claude to act as a lead coordinator, spawning and managing multiple autonomous worker agents to execute development tracks in parallel. By utilizing the Agent Mail protocol for inter-agent communication and a strict file reservation system to prevent merge conflicts, it enables large-scale, TDD-driven implementations that would otherwise be limited to sequential execution. This skill is essential for high-velocity engineering teams using Claude Code to handle multi-file features, complex refactors, and concurrent bug fixes without overlapping effort.

Key Features

Automated routing and task assignment based on project plans
Strict file reservation system to prevent concurrent edit conflicts
Autonomous parallel worker spawning and track management
20 GitHub stars
Integrated TDD workflow (Red-Green-Refactor) for all worker agents
Agent Mail protocol for real-time inter-agent coordination

Use Cases

Implementing multiple independent API endpoints or microservices simultaneously
Large-scale refactoring across non-overlapping directory structures
Accelerating feature delivery by dispatching agents to distinct project tracks

About

Key Features

Automated routing and task assignment based on project plans
Strict file reservation system to prevent concurrent edit conflicts
Autonomous parallel worker spawning and track management
20 GitHub stars
Integrated TDD workflow (Red-Green-Refactor) for all worker agents
Agent Mail protocol for real-time inter-agent coordination

Use Cases

Implementing multiple independent API endpoints or microservices simultaneously
Large-scale refactoring across non-overlapping directory structures
Accelerating feature delivery by dispatching agents to distinct project tracks