council-zh

Coordinate autonomous AI agents in structured cross-voiced debates.

87|15|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/phaseddd/PhasedddSkill --skill council-zh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: council-zh
Source: https://github.com/phaseddd/PhasedddSkill/tree/main/council-zh
Command: npx skills add https://github.com/phaseddd/PhasedddSkill --skill council-zh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates a team of independent AI agents with distinct personas to host real cross-voice debates on complex topics, surfacing diverse perspectives and hidden risks for better decision-making.

Core Features & Use Cases

  • Independent-agent orchestration using a multi-agent framework to simulate diverse viewpoints.
  • Structured debate flow with role persistence, direct rebuttal, and alignment to Leader goals.
  • Use Case: Applied to decisions requiring multiple viewpoints—architecture, strategy, policy—and scenarios where structured dissent and evidence-based synthesis are valuable.

Quick Start

Initialize a council with diverse agents and start a structured debate on the Leader's topic.

Frequently Asked Questions about council-zh

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

FAQPage Schema
How do I orchestrate multiple AI agents to debate complex architecture decisions?

Multi-agent orchestration coordinates autonomous agents with distinct personas to conduct structured debates, surfacing diverse perspectives for architecture and strategic planning decisions.

What is a multi-agent debate framework and how does it surface diverse viewpoints?

A multi-agent debate framework simulates independent viewpoints by enforcing role persistence and direct rebuttals among agents, reconciling diverse perspectives to deliver a leader-facing summary.

Can I use multi-agent orchestration for strategic planning and policy discussions?

Multi-agent orchestration applies directly to strategic planning and policy scenarios by simulating structured dissent and evidence-based synthesis to expose hidden risks.

How do I enforce per-agent identities and debate rules during autonomous agent orchestration?

Autonomous agent orchestration enforces per-agent identities and debate rules by maintaining role persistence, direct rebuttals, and alignment to Leader goals throughout the structured flow.

What's the best way to reconcile diverse AI agent perspectives into a single summary?

Reconciling diverse agent perspectives requires a leader-facing summary that preserves individual viewpoints while synthesizing evidence-based conclusions from the structured debate.

Does multi-agent debate orchestration require specific frameworks for team creation and messaging?

Multi-agent debate orchestration utilizes team creation and agent messaging capabilities, requiring no external dependencies to coordinate agents and dispatch messages.