llm-council
Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Provider config from env (OPENAI/ANTHROPIC/FIREWORKS/OPENROUTER/custom OpenAI-compatible base URL). Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules.
· 实时索引
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
想先保存到本地？可下载 RuleHub 当前索引到的 GitHub 仓库压缩包。
下载 Zip| name | llm-council |
| description | Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman... |
llm-council
Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Provider config from env (OPENAI/ANTHROPIC/FIREWORKS/OPENROUTER/custom OpenAI-compatible base URL). Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules.
When to use
Use this skill when the user needs help with tasks related to llm council.
Guidelines
- Follow repository conventions in
rohitg00/pro-workflow - Prefer minimal, focused changes
- Validate outputs before finishing