RedTeam

Simulate 32 expert perspectives to analyze arguments for logical fallacies and hidden assumptions.

1|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/GratefulJinx77/tai --skill redteam-gratefuljinx77
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: RedTeam
Source: https://github.com/GratefulJinx77/tai/tree/main/.tai/skills/thinking/RedTeam
Command: npx skills add https://github.com/GratefulJinx77/tai --skill redteam-gratefuljinx77

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires FirstPrinciples, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The RedTeam skill addresses the challenge of analyzing and improving the strength of arguments, identifying vulnerabilities, and promoting better decision-making.

Core Features & Use Cases

  • Adversarial Analysis: Uses 32 different agents to provide comprehensive and critical analysis of arguments.
  • First Principles Integration: Integrates with the FirstPrinciples skill for enhanced argument deconstruction.
  • Output Formatting: Delivers formatted outputs that clearly highlight strengths and weaknesses of arguments.
  • Use Cases: Ideal for red teaming projects, argument reviews, and critical decision-making processes.

Quick Start

Run the 'RedTeam' workflow to analyze the given argument.

Frequently Asked Questions about RedTeam

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

FAQPage Schema
How does adversarial analysis find logical fallacies in an argument?

Adversarial analysis identifies logical fallacies by simulating 32 expert perspectives to critically evaluate arguments. This uncovers hidden assumptions and vulnerabilities, providing comprehensive red teaming to strengthen or refute the core proposition.

How do I perform a red teaming review on a complex proposal?

To perform red teaming on a proposal, run the adversarial workflow to simulate 32 expert perspectives against the argument. It deconstructs the logic using first principles and outputs a formatted analysis highlighting strengths and weaknesses.

Do I need first principles thinking to use multi-agent argument analysis?

Yes, first principles thinking is required for multi-agent argument analysis. The skill integrates the FirstPrinciples dependency to properly deconstruct arguments before the 32 adversarial agents evaluate hidden assumptions and logical vulnerabilities.

What is the best way to improve decision-making through argument review?

The best way to improve decision-making through argument review is applying 32 adversarial agents to find critical flaws. By simulating multiple expert perspectives, it identifies vulnerabilities and hidden assumptions to strengthen the final decision.

Can I use parallel analysis for critical thinking on large arguments?

Yes, you can use parallel analysis for critical thinking on large arguments. The system requires parallel analysis capabilities to run 32 different expert perspectives simultaneously, ensuring comprehensive adversarial analysis and formatted output.