panel

Automate multi-model consensus and tiered IT reviews via OpenRouter.

Updated Nov 24, 2025
One-click install
npx skills add https://github.com/ByronWilliamsCPA/.claude --skill panel-byronwilliamscpa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: panel
Source: https://github.com/ByronWilliamsCPA/.claude/tree/main/.claude/skills/panel
Command: npx skills add https://github.com/ByronWilliamsCPA/.claude --skill panel-byronwilliamscpa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, and includes scripts (resource) components.

What problem does it solve?

Single AI model outputs can be biased, incomplete, or unreliable. This Skill provides multi-model consensus, structured tiered reviews, and flexible ad-hoc panels to validate decisions through diverse AI perspectives via OpenRouter.

Core Features & Use Cases

  • Tiered Review: Structured IT review teams with levels 1-3, assigning professional roles per domain such as code review, security, and architecture.
  • Flexible Panel: Ad-hoc consultation with any models and custom stances, such as arguing for or against a proposal.
  • Grounded Synthesis: Parallel fan-out with cost caps, automatic failover, and quality checks to ensure responses are grounded in the actual artifact before synthesis.

Quick Start

Use the panel skill to run a tiered level 2 architecture review of your system design to get consensus from multiple AI models.

Frequently Asked Questions about panel

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

FAQPage Schema
How do I get a reliable AI code review when single model outputs are biased?

Multi-model consensus review solves biased single model outputs by fanning out parallel requests across diverse AI models via OpenRouter, then synthesizing grounded quality checks. It assigns professional roles per domain to validate decisions through diverse perspectives.

What is tiered IT review and how does it work for architecture evaluation?

Tiered IT review applies structured levels 1-3 to architecture evaluation, assigning professional roles per domain. It automates parallel API fan-out with cost capping and failover substitution to ensure responses are grounded in the actual artifact before synthesis.

Do I need an OpenRouter API key to run multi-model consensus panels?

Yes, you need an OpenRouter API key and httpx to run multi-model consensus panels. The skill uses httpx for parallel API fan-out with cost capping, failover substitution, and grounded quality checks.

Can I use ad-hoc panels to argue for or against a technical proposal?

Yes, flexible ad-hoc panels allow consultation with any models and custom stances, such as arguing for or against a proposal. This enables diverse professional perspectives for security audits, code review, and general technical questions.

What are the limitations of using parallel API fan-out for second opinions?

Parallel API fan-out limitations include API cost caps and potential failover substitution when models are unavailable. The skill enforces cost capping and grounded quality checks to ensure responses are grounded in the actual artifact before synthesis.

Does the panel skill support security audits alongside code review?

Yes, the panel skill supports security audits alongside code review, architecture evaluation, and general technical questions. It applies tiered review levels 1-3 with professional roles per domain to solve unreliable single model outputs.