council

Synthesize difficult decisions through structured multi-expert deliberation with weighted voting.

4|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/npow/claude-skills --skill council-npow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: council
Source: https://github.com/npow/claude-skills/tree/main/council
Command: npx skills add https://github.com/npow/claude-skills --skill council-npow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you make difficult decisions by examining a question through multiple distinct intellectual, strategic, technical, and ethical perspectives before producing one synthesized verdict.

Core Features & Use Cases

  • Multi-Perspective Deliberation: Simulate panels of experts including Feynman, Aristotle, Taleb, Kahneman, Torvalds, and other specialized thinkers.
  • Flexible Panel Modes: Use full, quick, duo, triad, or custom-member deliberation modes for different levels of depth and speed.
  • Decision Guardrails: Produce recommended actions, unresolved questions, kill criteria, weighted vote tallies, disagreements, compromises, and minority reports.
  • Use Case: When evaluating whether to rewrite a service, launch a product, accept an acquisition, or adopt an AI system, convene a domain-specific panel to expose assumptions, risks, and competing tradeoffs.

Quick Start

Ask the council to evaluate your decision and provide a synthesized recommendation with concrete next steps and criteria for changing the verdict.

Frequently Asked Questions about council

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

FAQPage Schema
How do I use multi-perspective analysis for complex strategic planning decisions?▼

Multi-perspective analysis for strategic planning involves simulating a panel of experts who cross-examine assumptions and vote on a decision. This process synthesizes competing tradeoffs into a single actionable verdict with kill criteria and minority reports.

What is adversarial reasoning and when do I need it for architecture choices?▼

Adversarial reasoning is a decision-making process where multiple simulated experts cross-examine a proposal to expose hidden risks. You need it for architecture choices when evaluating competing design tradeoffs, system rewrites, or product launches to ensure robust risk assessment.

How do I run a risk assessment for adopting an AI system?▼

Running a risk assessment for AI system adoption requires convening a domain-specific panel to analyze safety, ethics, and strategic tradeoffs. The council evaluates unresolved questions and produces a weighted vote tally with concrete kill criteria before reaching a final verdict.

Can I get a quick decision summary instead of a full deliberation for product strategy?▼

Yes, you can use flexible panel modes like quick, duo, or triad deliberation instead of a full panel. These modes provide faster multi-perspective analysis for product strategy while still delivering a synthesized recommendation and actionable next steps.

What is the best way to evaluate design tradeoffs when deciding whether to rewrite a service?▼

The best way to evaluate design tradeoffs for a service rewrite is structured deliberation across multiple technical perspectives. This approach applies adversarial cross-examination to surface competing assumptions and produces a single decisive verdict with recommended actions.

What are the limitations of using simulated expert panels for founder decisions?▼

Simulated expert panels for founder decisions may leave unresolved questions that require further real-world validation. The process provides minority reports and kill criteria to highlight these limitations, but the final synthesized verdict still depends on the quality of the initial question framing.