council

Coordinate a multi-expert review to validate architectural decisions with YAML output.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/EllevatedAI/MeMyselfAndI --skill council-ellevatedai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: council
Source: https://github.com/EllevatedAI/MeMyselfAndI/tree/main/.claude/skills/council
Command: npx skills add https://github.com/EllevatedAI/MeMyselfAndI --skill council-ellevatedai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill coordinates a multi-expert review to validate complex architectural decisions and surface a clear, actionable outcome.

Core Features & Use Cases

  • Structured 5-expert council analysis for complex architectures.
  • Phase-driven workflow (load context, parallel analysis, cross-critique, synthesis).
  • Use case: Escalate architectural concerns, align stakeholders, and produce a documented decision with rationale.

Quick Start

Provide a full council review for architecture specs and surface a clear, actionable decision.

Frequently Asked Questions about council

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

FAQPage Schema
How do I validate architectural decisions using multi-agent review?

To validate architectural decisions with multi-agent review, provide your architecture specs to trigger a five-expert council analysis. The process loads context, executes parallel analysis, cross-critiques the findings, and synthesizes a structured YAML output containing a clear, actionable decision with rationale.

What is a multi-expert council for software architecture?

A multi-expert council for software architecture is a coordinated review mechanism where five experts analyze complex changes. It enforces a three-phase workflow—parallel analysis, cross-critique, and synthesis—to surface a documented, actionable decision that aligns stakeholders during escalations.

When should I escalate architecture concerns to a multi-agent review?

You should escalate architecture concerns to a multi-agent review when changes touch multiple files, teams, or subsystems. It is applicable during autopilot escalations to validate complex decisions, align stakeholders, and produce a documented rationale via structured cross-critique and synthesis.

Can I use multi-agent review for cross-team architecture alignment?

Yes, you can use multi-agent review for cross-team architecture alignment. The five-expert council coordinates a structured cross-critique of parallel analyses, specifically surfacing a clear, actionable outcome to align stakeholders when changes span multiple subsystems or teams.

How does cross-critique work in an LLM architecture decision review?

Cross-critique in an LLM architecture decision review works as the second phase of the three-phase process. After parallel analysis, the five experts critique each other's findings before synthesis, ensuring the final structured YAML output reflects a validated, actionable decision with comprehensive rationale.

What format does the architecture council review output use?

The architecture council review output uses a structured YAML format. After completing the three-phase process of context loading, parallel analysis, cross-critique, and synthesis, it produces a documented architectural decision with clear rationale and actionable next steps.