council

Orchestrate multi-perspective agent debates and produce synthesized recommendations.

11|5|Updated Jan 9, 2026
One-click install
npx skills add https://github.com/rbergman/dark-matter-marketplace --skill council-rbergman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: council
Source: https://github.com/rbergman/dark-matter-marketplace/tree/main/plugins/teams/skills/council
Command: npx skills add https://github.com/rbergman/dark-matter-marketplace --skill council-rbergman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables collaborative decision-making by simulating multi-perspective debates among a team of agents, helping you surface trade-offs and identify robust solutions.

Core Features & Use Cases

  • Multi-agent council: spawn 3-5 teammates with diverse viewpoints and models to discuss a decision.
  • Structured debate protocol: framing, opening statements, challenges, and synthesis to reach a recommendation.
  • Use cases: architecture decisions, spec evaluations, or policy trade-offs.

Quick Start

Define the goal and context, spawn 3-5 agent teammates with diverse perspectives, run the debate protocol (framing, opening statements, challenges, synthesis), and obtain a synthesized recommendation.

Frequently Asked Questions about council

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

FAQPage Schema
How do I run a multi-perspective debate to reach consensus on an architecture decision?

To run a multi-perspective debate, define your goal and context, spawn 3-5 agent teammates with diverse viewpoints, execute the structured debate protocol of framing, opening statements, and challenges, and receive a synthesized recommendation.

What is multi-agent deliberation for decision-making?

Multi-agent deliberation simulates a team of 3-5 agents with diverse viewpoints to discuss a decision, surface trade-offs, and identify robust solutions through a structured debate protocol ending in a synthesized recommendation.

Can I use multi-agent teams for policy evaluation and design trade-offs?

Yes, multi-agent teams can be used for policy evaluation and design trade-offs. The deliberation process spawns agents with diverse viewpoints to discuss your specific context, improving decision quality through structured challenges and final synthesis.

What is the best way to structure deliberations among agent teams?

The best way to structure deliberations among agent teams is using a four-phase protocol: framing, opening statements, challenges, and synthesis. This enforces disciplined debate across 3-5 agents to produce a synthesized recommendation.

When should I avoid using a multi-perspective council for decision-making?

You should avoid using a multi-perspective council when diverse viewpoints add no value to the decision. The deliberation process is specifically designed for architecture decisions, spec evaluations, or policy trade-offs where surfacing trade-offs is necessary.