When should I use the /orchestrate command?

Use it for tasks that are multi-faceted, such as 'research and implement' requests, full-codebase refactors, or any task involving multiple deliverables across different file types.

What is the primary purpose of the Orchestrator skill?

It is designed to handle complex, multi-step requests by breaking them down into manageable workstreams and assigning them to specialized AI agents for parallel or sequential execution.

How does Orchestrator choose which agent to use?

It uses an internal decision tree to route tasks: Explore agents for fast read-only research, Plan agents for deep architectural trade-offs, and General-purpose agents for file modifications and testing.

Does it integrate with other Claude Code plugins?

Yes, it features built-in handoff patterns for auto-ralph to handle iterative testing and utilizes ultrathink protocols for high-complexity planning workstreams.

Can Orchestrator run tasks simultaneously?

Yes, it identifies independent tasks that can be run in parallel to significantly reduce execution time, while maintaining a strict order for tasks with sequential dependencies.

Orchestrator

Name: Orchestrator
Author: nalyk

bynalyk

생산성 및 워크플로

Manages complex, multi-faceted coding tasks through intelligent decomposition and parallel multi-agent execution.

소개

Orchestrator transforms large, complex requests into structured workstreams by breaking down tasks into atomic components. It automatically routes sub-tasks to specialized agents—such as Explore for research, Plan for architecture, and General-purpose for implementation—and coordinates their execution in parallel or sequence based on dependencies. This skill is essential for major refactors, codebase migrations, or feature implementations that span multiple files and domains, ensuring comprehensive execution with detailed progress tracking and final result synthesis.

주요 기능

0 GitHub stars
Parallel and sequential workstream execution with dependency management
Seamless integration with auto-ralph for iterative loops and ultrathink for deep planning
Automated task decomposition using the AND/OR dependency model
Real-time complexity assessment from Simple to Epic levels
Intelligent multi-agent routing based on task characteristics

사용 사례

Managing large-scale migrations where schema changes, logic updates, and documentation must be synchronized
Performing a full codebase audit and security refactoring across multiple directories simultaneously
Implementing new features that require simultaneous pattern research, API development, and unit testing

소개

주요 기능

0 GitHub stars
Parallel and sequential workstream execution with dependency management
Seamless integration with auto-ralph for iterative loops and ultrathink for deep planning
Automated task decomposition using the AND/OR dependency model
Real-time complexity assessment from Simple to Epic levels
Intelligent multi-agent routing based on task characteristics

사용 사례

Managing large-scale migrations where schema changes, logic updates, and documentation must be synchronized
Performing a full codebase audit and security refactoring across multiple directories simultaneously
Implementing new features that require simultaneous pattern research, API development, and unit testing