Coordinate three-model majority-vote deliberation with isolated subagents and a final verdict.
npx skills add https://github.com/kkudumu/feed-the-machine --skill ftm-council
Please help me install this Agent Skill. Skill: ftm-council Source: https://github.com/kkudumu/feed-the-machine/tree/main/ftm-council Command: npx skills add https://github.com/kkudumu/feed-the-machine --skill ftm-council
Multi-AI deliberation council that sends problems to Claude, Codex, and Gemini as equal peers, then loops through rounds of debate until 2-of-3 agree on a decision. Use when the user wants a second (and third) opinion, says "council this", "get other opinions", "what would other AIs think", "debate this", "multi-model", "ftm-council", or wants to cross-check a decision, architecture choice, debugging approach, or any problem where diverse AI perspectives would reduce blind spots. Even if the user just says "I'm not sure about this approach" or "sanity check this", consider invoking the council.
Frame a council problem and request a 2-of-3 majority verdict after independent rounds.
High-intent search queries and answers about installing and using this skill.
Multi-model deliberation coordinates independent AI perspectives by sending your architecture decision to Claude, Codex, and Gemini as equal peers. They independently investigate and debate through structured rounds until a 2-of-3 majority agrees on a final verdict.
A multi-model consensus protocol for code review uses isolated subagents to prevent context leakage between Claude, Codex, and Gemini. It loops through staged rebuttal rounds to surface dissent and convergence signals, ultimately returning a structured majority verdict.
Yes, you can automate cross-model validation in CI/CD pipelines. The deliberation council supports auto-invocation to perform sanity checks, frame problems automatically, and return structured verdicts suitable for orchestration and blackboard logging.
AI agents debate a debugging approach by conducting independent research as isolated subagents, engaging in structured rebuttals, and cycling through consensus rounds. The process continues until 2-of-3 models agree on a majority verdict or produce a synthesized recommendation.
Multi-model deliberation operates without external dependencies, coordinating Claude, Codex, and Gemini as equal peers internally. The protocol manages the independent subagents, debate rounds, and final verdict output autonomously within the environment.
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