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Taek-D
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agent-council

Collect and synthesize opinions from multiple AI agents into one answer.

Updated Apr 12, 2026
Search Tags:#workflow#cli#ai#multi-agent#orchestration#synthesis#council
One-click install
npx skills add https://github.com/Taek-D/kbo_appintoss --skill agent-council-taek-d
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-council
Source: https://github.com/Taek-D/kbo_appintoss/tree/main/miniapp/.claude/skills/agent-council
Command: npx skills add https://github.com/Taek-D/kbo_appintoss --skill agent-council-taek-d

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Collects diverse AI opinions and synthesizes them into a single recommendation, helping users get balanced insights without manual coordination.

Core Features & Use Cases

  • Parallel querying of multiple AI agents
  • Central synthesis by a chairman model
  • Use case: When you need multiple AI perspectives on a question and a final agreed answer.

Quick Start

Run the council to collect opinions from multiple AI agents and synthesize a final answer.

Frequently Asked Questions about agent-council

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

FAQPage Schema
How do I synthesize multiple AI agent opinions into a single answer?▼

To synthesize multiple AI agent opinions into a single answer, configure a council with member CLIs and a centralized chairman model to orchestrate queries and produce a summarized recommendation.

What is a multi-agent orchestration workflow for gathering diverse AI perspectives?▼

A multi-agent orchestration workflow queries multiple AI agents in parallel and uses a chairman model to synthesize their diverse perspectives into one balanced recommendation without manual coordination.

How do I configure a council of AI agents using YAML?▼

You can configure a council of AI agents using YAML by defining member CLIs and a centralized chairman within the file, enabling script-driven job orchestration to collect and synthesize opinions.

Do I need specific CLI tools to run multi-agent synthesis jobs?▼

Yes, running multi-agent synthesis jobs requires configuring member CLIs for the participating AI agents and a centralized chairman CLI to handle the final synthesis and recommendations.

Are there safety considerations when orchestrating parallel AI agent queries?▼

Yes, orchestrating parallel AI agent queries includes safety notes and script-driven references to ensure the centralized chairman safely synthesizes opinions without unintended consequences.

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