What problem does it solve? Single-model answers to high-stakes or wide-solution-space questions carry a single point of failure: one model's confident judgment may miss tradeoffs or fail in ways it cannot self-detect. This Skill convenes a council of tier-diverse Claude models that answer independently, blindly rank each other's anonymized answers, and let a chairman synthesize a final answer with disagreements made explicit. ## Core Features & Use Cases - Three-Stage Deliberation: Independent first opinions, anonymized peer ranking (Response A/B/C), and chairman synthesis in one orchestrated workflow. - Tier-Diverse Line-up: Opus 5, Opus 4.8, and Sonnet 5 produce diverse failure modes so the ranking stage catches what any single model would miss. - Disagreement Mapping: The chairman explicitly notes where the council disagreed, showing which parts of the answer are solid and which are judgment calls. - Use Case: Facing an architecture decision with several defensible approaches — such as choosing a state management strategy for a large React app — convene the council to get independent proposals, blind cross-evaluation, and a synthesized recommendation. ## Quick Start Ask the AI to convene the LLM council on your specific architecture or design decision, for example whether to adopt event sourcing for the billing service.
