round-table

Coordinate multi-agent deliberation with phase-driven synthesis and auditable transcripts.

Updated Oct 17, 2025
One-click install
npx skills add https://github.com/iamcapote/emptyrepo --skill round-table
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: round-table
Source: https://github.com/iamcapote/emptyrepo/tree/main/skills/forged/round-table
Command: npx skills add https://github.com/iamcapote/emptyrepo --skill round-table

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The Round Table Council enables cooperative deliberation among diverse AI perspectives to produce high-quality, consensus-driven decisions.

Core Features & Use Cases

  • Deliberation among multiple agents with independent viewpoints to mitigate bias and improve reasoning quality.
  • Structured Roles & Phases that guide pre-meeting prep, live discussion, synthesis, and decree for end-to-end governance workflows.
  • Audit-ready Outputs including a formal decree and a saved transcript for traceability.
  • Use Case: In complex multi-agent decision scenarios like policy proposals, synthesize expert opinions into a clear executive decision.

Quick Start

Instruct the Round Table to convene with full context and begin the deliberation.

Frequently Asked Questions about round-table

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

FAQPage Schema
How does multi-agent deliberation improve AI decision-making quality?

Multi-agent deliberation improves AI decision-making by coordinating diverse independent viewpoints to mitigate bias, apply structured governance phases, and synthesize expert opinions into a consensus-driven decree.

What is the best way to structure a multi-agent governance workflow?

The best way to structure a multi-agent governance workflow is using phase-driven roles that guide pre-meeting prep, live discussion, synthesis, and decree to produce auditable transcripts and formal decisions.

Can I use multi-agent deliberation for complex policy proposals?

Yes, you can use multi-agent deliberation for complex policy proposals. It synthesizes diverse expert opinions into a clear executive decree, providing an end-to-end workflow with traceable, audit-ready outputs.

How do I get an audit-ready transcript from an AI council?

You get an audit-ready transcript from an AI council by instructing it to convene with full context, which triggers phase-driven deliberation that automatically saves a formal decree and traceable transcript.

Does multi-agent synthesis require any external dependencies to run?

Multi-agent synthesis requires no external dependencies to run, allowing you to directly coordinate independent AI perspectives, apply structured governance roles, and generate consensus decisions without setup barriers.

When should I avoid using an LLM council for decision-making?

You should avoid using an LLM council for decision-making when your task lacks sufficient context for diverse viewpoints, or when structured governance workflows and audit-ready traceability are not required for the final decree.