When should I use the council consensus tool?

It is best used when facing high-stakes architectural choices, evaluating new libraries, or whenever you need a rigorous 'devil's advocate' perspective on a plan.

How does the council reach a consensus?

The skill requests specific pro, con, and neutral arguments from each model and then synthesizes these outputs to identify unanimous points and areas of disagreement.

Which AI models are used by this skill?

This skill utilizes both Codex and Gemini models to evaluate topics, ensuring that different training biases and reasoning styles are represented.

Do I need specific CLI tools installed?

Yes, this skill relies on the 'codex' and 'gemini' CLI commands being available and configured in your execution environment.

What is the AI Council Consensus skill?

It is a specialized Claude Code skill that triggers parallel analyses from multiple AI models to provide a balanced, multi-perspective view on technical decisions.

AI Council Consensus

Name: AI Council Consensus
Author: kanlanc

bykanlanc

Productividad y Flujo de Trabajo

Synthesizes multi-perspective technical analysis from Codex and Gemini to facilitate balanced decision-making and trade-off evaluation.

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The AI Council Consensus skill provides a robust framework for objective decision-making by leveraging the combined intelligence of Codex and Gemini. When triggered, it prompts both models to analyze a specific topic from 'For', 'Against', and 'Neutral' perspectives simultaneously. This multi-model approach ensures that architecture decisions, technology choices, and complex technical trade-offs are thoroughly vetted, identifying areas of unanimous agreement while highlighting divergent viewpoints for a more comprehensive and reliable recommendation.

Características Principales

Automated stance-based analysis (For, Against, Neutral)
Standardized reporting format with confidence levels
Parallel model execution for rapid decision support
0 GitHub stars
Multi-model cross-referencing between Codex and Gemini
High-reasoning synthesis of consensus and divergent views

Casos de Uso

Evaluating and comparing new technology stack options
Performing architectural reviews for complex system designs
Objective analysis of pros and cons for strategic project decisions

Acerca de

Características Principales

Automated stance-based analysis (For, Against, Neutral)
Standardized reporting format with confidence levels
Parallel model execution for rapid decision support
0 GitHub stars
Multi-model cross-referencing between Codex and Gemini
High-reasoning synthesis of consensus and divergent views

Casos de Uso

Evaluating and comparing new technology stack options
Performing architectural reviews for complex system designs
Objective analysis of pros and cons for strategic project decisions