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llm-council

Run parallel AI advisor analysis with anonymous peer review and chairman synthesis.

Updated May 6, 2026
Search Tags:#report generation#strategy#synthesis#decision-making#peer review#ai council
One-click install
npx skills add https://github.com/Takfes/indie-scaffolder --skill llm-council-takfes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-council
Source: https://github.com/Takfes/indie-scaffolder/tree/main/components/agent-skills-commands/.agents/skills/llm-council
Command: npx skills add https://github.com/Takfes/indie-scaffolder --skill llm-council-takfes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you pressure-test high-stakes decisions, ideas, and tradeoffs by getting multiple independent AI perspectives instead of a single answer.

Core Features & Use Cases

  • Five-Advisor Analysis: Runs a contrarian, first-principles, expansionist, outsider, and executor perspective in parallel.
  • Anonymous Peer Review: Cross-checks the advisors’ answers to surface blind spots and reduce bias.
  • Final Synthesis: Produces a clear verdict, resolves disagreements, and turns uncertainty into an actionable recommendation.
  • Use Case: Ideal for pricing decisions, product pivots, launch choices, positioning questions, and other situations where being wrong is costly.

Quick Start

Use the llm-council skill to pressure-test my decision, synthesize the strongest arguments, and produce the final recommendation with report and transcript.

Frequently Asked Questions about llm-council

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

FAQPage Schema
How do I pressure-test a high-stakes decision using multiple AI perspectives?▼

An AI council pressure-tests decisions by running five distinct advisor perspectives—contrarian, first-principles, expansionist, outsider, and executor—in parallel, followed by anonymous peer review and a chairman synthesis to resolve disagreements.

When should I use a multi-advisor synthesis for decision-making instead of a single AI prompt?▼

Use multi-advisor synthesis for high-stakes tradeoffs, strategy choices, positioning questions, and ambiguous judgments where being wrong is costly and a single AI answer might miss critical blind spots or bias.

How do I generate an actionable recommendation from conflicting strategic advice?▼

To generate an actionable recommendation, the chairman synthesis cross-checks conflicting advisor answers through anonymous peer review to surface blind spots, resolve disagreements, and turn uncertainty into a final actionable verdict.

Does this decision-making Skill produce a shareable report for strategy choices?▼

Yes, the decision-making Skill produces a shareable HTML report and a markdown transcript detailing the parallel advisor analysis, anonymous peer review, and final synthesis for your strategy choices.

Can I use peer review to reduce AI bias in product pivot or pricing decisions?▼

Yes, you can use the built-in anonymous peer review to reduce AI bias in pricing decisions and product pivots by cross-checking five independent advisor perspectives to surface blind spots before generating a final recommendation.

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