autoresearch:predict

Run an eight-phase adversarial debate with personas to analyze predictions.

29|4|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/wjgoarxiv/autoresearch-skill --skill autoresearch-predict
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autoresearch:predict
Source: https://github.com/wjgoarxiv/autoresearch-skill/tree/main/skills/predict
Command: npx skills add https://github.com/wjgoarxiv/autoresearch-skill --skill autoresearch-predict

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured approach to multi-perspective analysis and prediction, addressing the challenge of groupthink and promoting diverse viewpoints in decision-making.

Core Features & Use Cases

  • Structured Deliberation: Follows a protocol of eight phases to ensure thorough analysis.
  • Personas: Utilizes predefined personas like Optimist, Pessimist, Expert, and more to represent different viewpoints.
  • Cross-Examination and Rebuttal: Facilitates a debate between positions to refine arguments.
  • Herd Detection: Identifies when consensus forms prematurely, preventing groupthink.
  • Neutral Judge: Summarizes the analysis and provides a verdict with confidence levels.
  • Use Case: For a strategic decision that requires considering multiple perspectives, the skill can be used to gather and evaluate various viewpoints before arriving at a well-considered conclusion.

Quick Start

Initiate the multi-perspective analysis by running the autoresearch:predict skill on your research question.

Frequently Asked Questions about autoresearch:predict

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

FAQPage Schema
How do I conduct multi-perspective analysis to prevent groupthink in decision-making?

Multi-perspective analysis to prevent groupthink is conducted through structured deliberation and adversarial debate using predefined personas. This method assigns viewpoints like Optimist and Pessimist to represent diverse positions and identifies premature consensus.

What is the best way to run structured deliberation for complex strategic predictions?

The best way to run structured deliberation for complex strategic predictions is by executing an eight-phase protocol. This process includes cross-examination, rebuttal, and herd detection, concluding with a neutral judge summarizing the analysis and providing a verdict with confidence levels.

Can I use predefined personas to represent different viewpoints in predictive analysis?

Yes, you can use predefined personas to represent different viewpoints in predictive analysis. Personas like Optimist, Pessimist, and Expert facilitate structured deliberation, ensuring diverse perspectives are evaluated during complex decision-making.

How does adversarial debate improve the accuracy of strategic predictions?

Adversarial debate improves strategic predictions by facilitating cross-examination and rebuttal between different positions. This structured deliberation refines arguments through multi-perspective analysis before a neutral judge provides a final verdict with confidence levels.

When do I need structured deliberation for decision-making instead of simple forecasting?

You need structured deliberation for decision-making when facing complex scenarios requiring diverse perspectives. It is essential when avoiding groupthink is critical, using an eight-phase protocol and herd detection to ensure thorough multi-perspective analysis.