How does Ultimate Debate save token budget?

It stores detailed debate logs and history in local Markdown files (.claude/debates/) instead of keeping the entire conversation history in the active LLM context window.

What happens if the AI models do not agree?

The skill triggers a 'No Consensus' state, which initiates a cross-review and debate phase where each AI analyzes the others' reasoning to find common ground or identify the root cause of the disagreement.

Is this skill suitable for simple coding tasks?

No, this skill is designed for high-level strategy, complex architectural decisions, and critical reviews where a single AI's perspective might be insufficient.

Which AI models are used in the analysis?

The system is designed to orchestrate independent analysis from three different LLM providers—Claude, GPT, and Gemini—to provide a diverse range of perspectives and reduce model bias.

Ultimate Debate: Multi-AI Consensus Verifier

Name: Ultimate Debate: Multi-AI Consensus Verifier
Author: garimto81

bygarimto81

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Herramientas para Desarrolladores

Facilitates multi-AI parallel analysis and consensus building to resolve complex architectural and strategic technical decisions.

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Ultimate Debate is a sophisticated cross-model validation tool that orchestrates Claude, GPT, and Gemini to perform independent parallel analysis on complex coding challenges. By implementing a structured 5-phase workflow—including hash-based initial consensus checks, cross-reviews, and evidence-based debates—it ensures high-confidence architectural decisions. The system optimizes performance by storing detailed discussion logs in external Markdown files, preventing context bloat while maintaining a rigorous audit trail of the decision-making process.

Características Principales

Round-based Evidence-driven Debate System
Hash-based Consensus Verification Protocol
Customizable Consensus Thresholds and Strategies
1 GitHub stars
3-AI Parallel Analysis (Claude, GPT, Gemini)
Markdown-based External Context Management

Casos de Uso

Conducting high-stakes security audits and risk assessments
Evaluating complex software architecture and design patterns
Refining technical strategy and API refactoring plans

Acerca de

Características Principales

Round-based Evidence-driven Debate System
Hash-based Consensus Verification Protocol
Customizable Consensus Thresholds and Strategies
1 GitHub stars
3-AI Parallel Analysis (Claude, GPT, Gemini)
Markdown-based External Context Management

Casos de Uso

Conducting high-stakes security audits and risk assessments
Evaluating complex software architecture and design patterns
Refining technical strategy and API refactoring plans