Agent Debate Consensus — AI skill for Claude Code
Multi-agent AI debate platform — multiple LLMs discuss any topic in real time while you moderate.
How to install Agent Debate Consensus
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Lexus2016/Agent-Debate-Consensus and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Agent Debate Consensus does
Multi-agent AI debate platform — multiple LLMs discuss any topic in real time while you moderate. Built with Next.js, TypeScript, Tailwind CSS, Zustand. Powered by OpenRouter.
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README
Agent Debate Consensus
**Put 4+ AI models in one room and make them debate any topic. You moderate. They argue, challenge each other, and find consensus — live, in real time.**
**[Try the live demo at lryq.com](https://lryq.com)** — no signup needed, works instantly.
🇬🇧 [English](README.md) | 🇷🇺 [Русский](README.ru.md) | 🇺🇦 [Українська](README.uk.md)
    
**v2.5.2** — Rewrote every line of welcome-screen copy in EN/UA/RU to sound like a human wrote it. No more "multi-agent platform" / "unified gateway" / abstract bullet lists — concrete examples, plain words, and a voice you'd actually use in conversation.
What Is This?
When you ask ChatGPT or Claude a question, you get **one answer from one model**. That's one perspective, one set of biases, one reasoning style. You have no idea what you're missing.
Agent Debate Consensus changes that. You pick a topic, select 2–8 AI models (like Claude, Gemini, Grok, Kimi), and they **debate each other in real time** — arguing, challenging weak points, and building on each other's ideas. You watch the conversation unfold token by token, and you can jump in at any moment to steer the discussion.
**Think of it as a roundtable of AI experts that you moderate.**
What can you use it for?
- Making better decisions — Before committing to a strategy, let 4 AI models stress-test it from different angles. Weak assumptions get exposed fast.
- Exploring complex topics — Ethics, politics, technology trade-offs — see all sides in one conversation instead of asking each model separately.
- Understanding where AI disagrees — When models can't reach consensus,
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