skills.rest
starlink-awaken
starlink-awakenCOMMUNITY
Explore all skills by this author →
GitHub

Council

Coordinate multi-agent debates with round-by-round transcripts and final synthesis.

1|Updated Jun 10, 2026
Search Tags:#council#debate#transcripts#topic-analysis#custom-agents#mult-agent#compose-agent
One-click install
npx skills add https://github.com/starlink-awaken/pai-universal --skill council-starlink-awaken
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Council
Source: https://github.com/starlink-awaken/pai-universal/tree/main/templates/packs/Council/src
Command: npx skills add https://github.com/starlink-awaken/pai-universal --skill council-starlink-awaken

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Council enables topic-specific, custom-composed agents to engage in structured, collaborative debates, producing visible transcripts that reveal genuine intellectual friction and richer insights.

Core Features & Use Cases

  • 4-6 custom agents created via ComposeAgent to cover diverse perspectives for a topic
  • 3-round debate with parallel execution within rounds, yielding a full transcript plus synthesis
  • Outputs include council transcripts, round-by-round reasoning, and a final synthesis to inform decisions
  • Ideal for high-stakes discussions, design reviews, policy debates, and complex trade-off analyses

Quick Start

Launch a council debate by composing 4 custom agents for your topic and running the 3-round DEBATE workflow to generate a transcript and synthesis.

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-agent debate to analyze complex topics with diverse expert perspectives?▼

To run a multi-agent debate, compose 4-6 custom agents for your topic and execute the 3-round workflow. This generates parallel round-by-round transcripts and a final synthesis to inform decisions on complex trade-offs.

What is multi-agent debate synthesis and how does it surface informed decisions?▼

Multi-agent debate synthesis aggregates round-by-round reasoning from custom agents into a final structured output. It surfaces informed decisions by revealing intellectual friction and diverse expert perspectives through visible debate transcripts.

Can I use built-in agent types for multi-agent debates, or do I need custom agents?▼

Multi-agent debates require custom agents exclusively and do not support built-in agent types. You must compose 4-6 topic-specific agents to ensure diverse perspectives before executing the 3-round debate workflow.

How do I generate debate transcripts for policy reviews using custom agents?▼

Generate debate transcripts by composing custom agents via ComposeAgent and running the 3-round debate workflow. The process uses parallel execution within rounds to produce round-by-round reasoning and a final synthesis for policy reviews.

What are the limitations of using a 3-round debate workflow for topic analysis?▼

The 3-round debate workflow enforces a fixed depth of analysis and requires all agents to be custom types. It is limited to topics benefiting from diverse expert perspectives and produces structured transcripts plus a single final synthesis.

Related Skills

Explore More Education & Research Skills→
davduncdavdunc

Council

Generate multi-perspective debate transcripts with round-based expert deliberation.

Community
Intermediate
geekatrongeekatron
30

transcript

Parse VTT, SRT, and plain-text transcripts into structured Markdown packets with action items, decisions, questions, topics, and speaker mappings.

Community
Advanced
pynbj1001pynbj1001
4

Council

Coordinate multi-agent debates through a structured three-round workflow.

Community
Advanced
meanllbrlmeanllbrl
11

council

Coordinate multi-agent debates across personas and rounds into a synthesized decision report.

Community
Advanced