fbk-council

Coordinate multi-agent AI council discussions to reach documented consensus.

10|1|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/firebreak-ai/firebreak --skill fbk-council
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fbk-council
Source: https://github.com/firebreak-ai/firebreak/tree/main/assets/skills/fbk-council
Command: npx skills add https://github.com/firebreak-ai/firebreak --skill fbk-council

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a framework for organizing and managing multi-agent AI council discussions, enabling systematic decision-making across technical, security, UX, and data metrics domains.

Core Features & Use Cases

  • Guided Multi-Agent Collaboration: Coordinates roles such as architect, builder, guardian, security, advocate, and analyst to collaboratively assess technical tasks and architectural decisions.
  • Structured Phases & Self-Evaluation: Guides users through phases including internal alignment, clarification, independent discussion, and consensus synthesis, with built-in self-assessment for improving the process.
  • Use Case: Ideal for teams needing structured reviews of architecture proposals, security assessments, or product design, ensuring comprehensive exploration and documented consensus before implementation.

Quick Start

Prompt the AI to initialize a council session for reviewing a new API design or security architecture proposal.

Frequently Asked Questions about fbk-council

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

FAQPage Schema
What is multi-agent AI council orchestration for complex technical decisions?

Multi-agent AI council orchestration is a structured collaboration framework where role-specific agents review, deliberate, and reach consensus on complex technical or strategic decisions. It ensures thorough analysis and documented outcomes through phased discussion and conflict resolution protocols.

How do I use a multi-agent AI council to review architecture proposals?

Initialize a council session by prompting the AI with role-specific guidance for architect, builder, and security roles. The system guides you through internal alignment, clarification, independent discussion, and consensus synthesis phases to produce a documented architectural decision.

Can I use structured multi-agent collaboration for security assessments?

Yes, structured multi-agent collaboration supports security assessments by assigning a guardian or security agent role to independently analyze proposals. The council's phased discussion and conflict resolution protocols ensure comprehensive security review and documented consensus before implementation.

What's the best way to coordinate AI agents for product design consensus?

Coordinating AI agents for product design consensus works best by assigning advocate and analyst roles alongside technical agents. The structured phases of independent discussion and consensus synthesis ensure comprehensive exploration of UX and data metrics before finalizing design decisions.

Do I need external research integration for AI team decision-making?

External research integration is required for reliable AI team decision-making. The council framework incorporates external research during the independent discussion phase to ensure decisions are grounded in comprehensive data and thorough analysis.

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

You should avoid using a multi-agent AI council for simple, single-domain decisions that do not require cross-functional consensus. The framework's phased discussion and conflict resolution protocols are designed for complex technical, security, or architectural decisions needing thorough multi-perspective analysis.