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orchestrator

Orchestrate multi-agent product planning sessions across research, strategy, design, and operations.

Updated Aug 27, 2026
Search Tags:#project management#architecture#AI agents#strategy#operations#product planning#team simulation
One-click install
npx skills add https://github.com/shouvik/orchestrator --skill orchestrator-shouvik
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/shouvik/orchestrator/tree/main/skills/orchestrator
Command: npx skills add https://github.com/shouvik/orchestrator --skill orchestrator-shouvik

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex and time-consuming process of product planning by simulating a cross-functional team of specialist AI agents.

Core Features & Use Cases

  • End-to-End Planning: Manages all phases from research to operations, ensuring a holistic project plan.
  • Specialist Agents: Spawns 8 distinct AI agents (Business Analyst, UX Researcher, Product Manager, Security Engineer, Architect, Designer, DevOps, QA) to cover all critical disciplines.
  • Conflict Resolution: Detects and resolves tradeoffs between different agent deliverables, synthesizing a unified plan.
  • Use Case: Kickstart a new product idea by running a full planning session, generating a detailed roadmap, architecture, and operational plan in one go.

Quick Start

Use the orchestrator skill to run a full product team planning session for your new project.

Frequently Asked Questions about orchestrator

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

FAQPage Schema
How do I run a full product planning session with AI agents?▼

Multi-agent product planning is orchestrated across four phases: Research, Strategy, Design, and Operations. The system spawns specialist AI agents including Business Analyst, UX Researcher, Product Manager, and Engineering Architect to synthesize deliverables into a unified project plan.

What is AI team simulation for project management?▼

AI team simulation automates cross-functional product planning by spawning eight distinct specialist agents such as DevOps Engineer and QA Lead. It detects conflicts between agent deliverables, resolves tradeoffs, and produces a comprehensive operational roadmap.

Can I use a simulated product team to generate architecture and UX designs?▼

Yes, the specialist agents include an Engineering Architect for system architecture and a UX/UI Designer for interface planning. These agents operate during the Design phase to generate structured deliverables alongside the broader operational strategy.

Does the multi-agent planning process require an existing codebase?▼

No, a codebase is not strictly required. The planning session supports context discovery via codebase scanning, but it can also rely on saved context files or interactive gap-filling to gather necessary project information.

How does AI agent conflict resolution work during product strategy synthesis?▼

Conflict resolution works by detecting tradeoffs between different specialist agent deliverables during the synthesis process. It reconciles these conflicting outputs to produce a single, unified project plan that balances competing requirements.

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