What is the primary benefit of the Convolutional Debate Agent?

It significantly reduces model bias and 'hallucinations' by forcing multiple independent AI models to generate solutions and then critique one another through an adversarial process.

Which AI models are compatible with this skill?

It supports Anthropic (Claude), OpenAI (ChatGPT/GPT-4o), Google (Gemini), Moonshot (Kimi), and any OpenAI-compatible API via OpenRouter.

Does this skill require multiple API keys?

While it can run in 'balanced' mode using only Claude, full multi-model functionality requires API keys for other providers or using the built-in OpenAI OAuth login.

What is RWEA scoring?

Reliability-Weighted Aggregation is a formula that evaluates candidate answers based on mean support, peer-reviewed risk factors, model reliability benchmarks, and formal proofs.

When should I use the /debate command instead of a normal prompt?

Use it for high-stakes decisions, complex logic problems, or architectural choices where the cost of being wrong is high and multiple perspectives are needed.

Convolutional Debate Agent

Name: Convolutional Debate Agent
Author: ZealousEar

byZealousEar

0•

Ciencia de Datos y ML

Enhances decision-making through a multi-model adversarial reasoning protocol and reliability-weighted aggregation.

The Convolutional Debate Agent is a sophisticated reasoning framework for Claude Code designed to minimize single-path errors in complex tasks. By orchestrating five independent solvers across diverse LLM providers—including Claude, GPT, Gemini, and Kimi—followed by four parallel adversarial reviews and formal verification, it provides a rigorous, deterministic selection process. This skill is ideal for high-stakes architectural decisions, strategic planning, and deep debugging where accuracy and pressure-testing are more critical than speed.

Características Principales

010 GitHub stars

02Adversarial debate protocol with specialized consistency, counterexample, constraint, and evidence reviewers.

03Multi-model orchestration across Claude, OpenAI, Gemini, Kimi, and OpenRouter.

04Reliability-Weighted Aggregation (RWEA) for deterministic, domain-aware answer selection.

05Formal verification integration via the Aristotle Lean 4 theorem prover.

06Flexible model profiles ranging from 'max_quality' to 'budget' (zero-Claude) modes.

Casos de Uso

01Strategic planning and risk assessment under conditions of high uncertainty.

02Evaluating complex software architecture trade-offs with competing technical requirements.

03Deep debugging of logical errors where multiple valid-looking hypotheses exist.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zealousear/claude-skills convolutional-debate-agent

For use in Claude.ai and ChatGPT

Download Skill