orchestrator

Name: orchestrator
Availability: InStock
Author: imudak

Coordinate 25 specialized AI agents for Specification Driven Development workflows.

Updated Aug 23, 2026

Search Tags:#workflow #project management #multi-agent #orchestration #sdd #agent coordination

Ready to run

npx skills add https://github.com/imudak/claudemd-gen --skill orchestrator-imudak

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/imudak/claudemd-gen/tree/main/.claude/skills/orchestrator
Command: npx skills add https://github.com/imudak/claudemd-gen --skill orchestrator-imudak

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill acts as an intelligent conductor, managing and coordinating a team of 25 specialized AI agents to handle complex, end-to-end software development tasks.

Core Features & Use Cases

Agent Coordination: Selects and directs the optimal AI agent for each sub-task.
Workflow Management: Breaks down large requests into manageable steps and ensures smooth execution.
Language Preference: Supports both English and Japanese for user interaction.
Use Case: A user requests the development of a new web application. The orchestrator will break this down, assign requirements gathering to one agent, design to another, implementation to a third, and so on, ensuring all parts work together seamlessly.

Quick Start

Use the orchestrator skill to manage the development of a new feature from requirements to deployment.

Frequently Asked Questions about orchestrator

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

FAQPage Schema

How does multi-agent orchestration work for software development?▼

Multi-agent orchestration coordinates 25 specialized AI agents by breaking down large requests into manageable steps and directing specific agents for requirements gathering, design, implementation, and testing to ensure cohesive full-lifecycle execution.

How do I manage a full-lifecycle development workflow from requirements to deployment?▼

You manage full-lifecycle development by using an orchestrator to automate workflow steps, selecting the optimal AI agent for each phase from planning and requirements gathering through design, implementation, testing, and deployment.

Can I use this orchestrator for Specification Driven Development?▼

Yes, you can use this orchestrator for Specification Driven Development. It manages and coordinates specialized AI agents specifically to handle tasks across the SDD lifecycle, integrating with MUSUBI CLI tools for workflow automation.

Does the multi-agent orchestrator support bilingual project management?▼

Yes, the multi-agent orchestrator supports bilingual project management. It handles both English and Japanese interaction, allowing users to coordinate AI agents and manage development workflows in their preferred language.

What is the best way to handle dynamic replanning during AI agent coordination?▼

The best way to handle dynamic replanning is using an orchestrator that manages a team of specialized AI agents. It integrates with CodeGraph MCP for code analysis and adjusts workflow execution dynamically as project requirements change.

When should I not use multi-agent orchestration for project management?▼

You should not use multi-agent orchestration for simple, single-step tasks that require no breakdown or coordination. It is designed for complex, end-to-end software development tasks requiring multiple specialized agents and dynamic replanning.