Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Orchestrates structured debates between multiple AI models from different providers, where each participant is loaded with identity graphs describing others' stated beliefs, traits, and contradictions. Threads persist across rounds with full history, and a synthesis step produces a verdict, novel ideas, and suggested identity graph updates.
Identity injection, where each model reads structured profiles of its debate partners before responding, produces more targeted disagreements than generic multi-model prompting.
When to use it
- Debating AI consciousness across Gemini, GPT, and Grok simultaneously
- Comparing how different AI architectures approach ethical dilemmas
- Getting multi-model input on a contested technical decision
- Stress-testing an argument by having three AI models attack it across rounds
- Generating a synthesized verdict from a structured multi-model roundtable
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'Should AI training data be publicly disclosed?'
- 1Create a new debate thread with the topic
- 2Load identity graphs for each participating model
- 3Run a full round where each model responds with awareness of others' stated beliefs and contradictions
- 4Synthesize the round to extract a verdict and novel ideas
- 5Review suggested updates to each participant's identity graph
A synthesis document with a verdict on the debate, novel ideas surfaced during discourse, and suggested identity graph updates for each participant
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.