What problem does it solve? Single-model answers carry the biases and blind spots of one model. This Skill implements a Mixture-of-Agents workflow where a lead model asks the same question to several expert models and synthesizes their responses into one ranked, higher-quality answer. ## Core Features & Use Cases - Multi-Model Panel: Sends the same question to expert models such as DeepSeek V4, GLM 5.2, and GPT 5.5 alongside the lead model. - Ranked Synthesis: The lead model reads all expert responses and produces one consolidated answer, flagging which model argued for each point and why. - Token-Efficient Output: The lead model compresses the panel's raw responses so you read one synthesis instead of three full dumps. - Use Case: Ask "/moa I want to know how to double my net profit" and receive levers ranked by leverage, with attribution showing which model proposed each lever and its reasoning. ## Quick Start Type /moa followed by your question to get a synthesized answer ranked across multiple expert models.