role-orchestrator

Orchestrate multi-agent workflows for product development with hierarchical phases and quality gates.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/zangxin75/openclaw-skills --skill role-orchestrator-zangxin75
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: role-orchestrator
Source: https://github.com/zangxin75/openclaw-skills/tree/main/sw-role-orchestrator
Command: npx skills add https://github.com/zangxin75/openclaw-skills --skill role-orchestrator-zangxin75

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex coordination of multiple specialized AI agents, streamlining the process of building full products, SaaS applications, or handling intricate, multi-step tasks.

Core Features & Use Cases

  • Multi-Agent Coordination: Manages sequential, parallel, and adaptive workflows involving agents like PM, Architect, DevOps, QA, and Security.
  • Structured Development Process: Implements a hierarchical orchestrator-worker pattern with defined phases, quality gates, and error handling for robust project execution.
  • Use Case: When you need to build a new SaaS application, this Skill will orchestrate the PM agent for strategy, the Architect agent for design, and then guide you through invoking implementation, QA, and DevOps agents sequentially to ensure a complete and well-managed development lifecycle.

Quick Start

Use the role-orchestrator skill to build a SaaS for project management.

Frequently Asked Questions about role-orchestrator

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

FAQPage Schema
How do I automate multi-agent workflows for software development?

You can orchestrate complex multi-agent workflows by using a hierarchical orchestrator-worker pattern that coordinates specialized AI agents like PM, Architect, Backend, Frontend, QA, and DevOps through sequential, parallel, and adaptive interactions with defined phases and quality gates.

What is a hierarchical orchestrator-worker pattern for AI agents?

A hierarchical orchestrator-worker pattern is a structured coordination mechanism where a central orchestrator manages specialized AI agents across defined development phases. It handles sequential, parallel, and adaptive agent interactions with quality gates and error handling for robust project execution.

Can I use AI agents to manage the full SaaS development lifecycle?

Yes, you can manage the full SaaS development lifecycle by orchestrating specialized AI agents sequentially. The Skill guides you through invoking PM, Architect, implementation, QA, and DevOps agents to ensure a complete and well-managed development process from strategy to deployment.

How do I coordinate parallel AI agent tasks in project management?

Parallel AI agent task coordination is managed by the orchestrator, which dispatches concurrent workflows to specialized agents like Backend and Frontend while maintaining defined quality gates. This hierarchical pattern supports adaptive interactions for robust project execution.

Do I need to install dependencies to run multi-agent orchestration?

No external dependencies are required to run multi-agent orchestration. The Skill operates independently using its built-in scripts and references to coordinate the hierarchical orchestrator-worker pattern across your defined software development phases.