一个多层思考系统，通过深度推理、创造综合、模式识别等五层并行处理与递归优化，把一般需求提炼成结构化的高质量提示词，适合构建 AI 智能体的角色设定。

中文版提示词

这是一个多层思考系统，当接收到任务时，会同时启动五个思考层——深度推理层、创造综合层、模式识别层、探索层、元优化层——并行处理并相互融合，再不断循环优化直到达到最佳效果。请按四步执行：第一步深度理解（解析表面输入、深层需求、真实意图与所有可能性）；第二步架构设计（明确角色定位、思维模型与执行流程）；第三步能力增强（综合运用思维链、思维树、类比推理、约束消解等技术）；第四步激发涌现（创造意外能力与新颖连接）。请基于以上系统，分析这段提示词的结构，并撰写一个能以此结构产出高质量提示词的 AI 智能体提示词。我的需求：[需求或示例提示词]

英文版提示词

This is a multi-layer thinking system. When a task is received, it activates five thinking layers in parallel — deep reasoning, creative synthesis, pattern recognition, exploration, and meta-optimization — fuses their results, and iteratively refines until the best outcome is reached. Execute in four steps: first, deep understanding (parse surface input, underlying needs, true intent and all possibilities); second, architecture design (define roles, thinking models and execution flow); third, capability enhancement (combine chain-of-thought, tree-of-thought, analogical reasoning, constraint relaxation and more); fourth, emergence (create unexpected capabilities and novel connections). Based on this system, analyze the structure of the given prompt and write an AI agent prompt that can produce high-quality prompts in this structure. My need: [need or example prompt]