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multi-ai-research

Parallel multi-AI cross-validation research workflow (大版本). Dispatch N internal sub-agents + grok + gemini in parallel, automatically cross-validate findings, tier by confidence (strong consensus / partial / conflict / insufficient), generate tiered action items with arbitration. Use when user says "多 AI 调研", "交叉验证", "独立共识", "三脑调研", "multi-ai research", "parallel research", "cross-validate", or needs deep research that benefits from internal data + external 2026 consensus. NOT for quick factual Q&A, pure code reasoning, or tasks needing deep project context.

skills/multi-ai-research/SKILL.md

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Nov 4, 2026
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MIT

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<!-- v1 | 2026-04-09 | 从 2026-04-08 X reply deboost 调研实战沉淀;集成自动置信度分级 + 仲裁 + 改动清单 -->

# Multi-AI Research(并行多 AI 交叉验证)

**核心价值**:能力乘法,不是加法。Claude(主脑)+ grok(X 社区/实时)+ gemini(Google 生态/结构化)+ N 个内部 sub-agent = **N+3 个 agent 并行**处理同一个研究问题。

**关键洞察**(2026-04-08 实战验证):两个独立外部 AI 的共识信号 **强于** 任何单个 AI 的深度。"更深度" < "更少错"。

**和 ask-opencli 的关系**:
- `ask-opencli` = 单次 grok 或 gemini 调用(日常 second opinion)
- `multi-ai-research` = **完整调研工作流**,并行多 AI + 内部数据 + 交叉验证 + 自动仲裁

如果用户只是想"问 grok 一个问题",用 `ask-opencli`。如果用户要做"深度调研"或"交叉验证多个维度",用这个 skill。
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