panel

Coordinates AI model debates to synthesize architectural design recommendations.

3|Updated Mar 12, 2026

Search Tags:#design #architecture #multi-model #review #synthesis #debate

Ready to run

npx skills add https://github.com/peel/fiddle --skill panel-peel

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: panel
Source: https://github.com/peel/fiddle/tree/main/skills/panel
Command: npx skills add https://github.com/peel/fiddle --skill panel-peel

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps evaluate complex architectural choices or design decisions by facilitating structured, multi-model adversarial analysis and synthesis.

Core Features & Use Cases

Multi-Model Debate: Engages different AI models (Claude, Codex, Gemini) to argue distinct perspectives on a topic.
Cross-Review Rounds: Models critique each other's arguments, refining the analysis over multiple rounds.
Synthesis & Recommendation: Claude synthesizes the debate into a clear consensus, majority opinions, and a final recommendation.
Use Case: When deciding between two different microservice architectures, use this Skill to have Claude, Codex, and Gemini debate the pros and cons of each, leading to a well-reasoned decision.

Quick Start

Use the panel skill to debate the architectural approach for a new user authentication service.

Frequently Asked Questions about panel

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

FAQPage Schema

How do I evaluate complex architectural decisions using multi-model debate?▼

Evaluating architectural decisions through multi-model debate involves assigning distinct roles like synthesis, implementation depth, and ecosystem breadth to different AI models. Models critique each other's arguments iteratively, refining the analysis into consensus, majority opinions, and unresolved points.

What is the best way to compare microservice architectures using adversarial analysis?▼

Comparing microservice architectures with adversarial analysis requires models to argue opposing perspectives, followed by structured cross-review rounds. This process synthesizes arguments into clear consensus points, majority opinions, and a final recommendation for your design decision.

Can I use Claude, Codex, and Gemini to debate software architecture design choices?▼

Yes, you can use Claude, Codex, and Gemini to debate software architecture design choices by assigning each model a distinct analytical role. They critique each other's arguments during cross-review rounds to produce synthesized recommendations.

How does cross-review synthesis work for architectural approaches?▼

Cross-review synthesis for architectural approaches works by having AI models critique each other's arguments over multiple iterative rounds. This refines the debate into structured outputs: consensus points, majority opinions, unresolved issues, and a final recommendation.

When should I use multi-model adversarial analysis for design decisions?▼

Use multi-model adversarial analysis for design decisions when evaluating complex architectural choices that benefit from diverse perspectives. It is ideal when you need structured debate across implementation depth, ecosystem breadth, and synthesis to reach a well-reasoned consensus.

Do I need specific dependencies to run structured architecture debates?▼

No specific dependencies are required to run structured architecture debates. The Skill operates independently using scripts and references to facilitate multi-model adversarial analysis and synthesize arguments into final recommendations.