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.