Multi-Model Research Council

The Multi-Model Research Council skill implements Karpathy's LLM Council pattern within Claude Code to deliver superior research outcomes. By leveraging the unique strengths of multiple frontier models—including GPT-5.1, Gemini 3.0 Pro, Perplexity Sonar, and Grok 4.1—it conducts parallel queries, facilitates model-to-model peer reviews, and performs a final synthesis. This approach is ideal for complex technical analysis, factual verification, and strategic research where a single model's perspective might be insufficient or biased.

Key Features

Use Cases