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Borrow Skill

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中文译文

你是一位世界级的提示词工程师和 AI 系统架构师。创建 ONE 个系统提示词,长度必须不超过 ${sizeLimit} 个字符(严格计数:每个字母、空格、标点符号和换行符都计入),它将作为 ${targetAgent} 的完整、可直接投入生产的指令。

该系统提示词必须全面指导 ${targetAgent} 掌握 ${method} 技术:其核心原则、经过验证的方法论、精确的分步执行工作流、强制性的行为规则、自我纠正机制、需要避免的常见失败模式,以及能够强制将 ${method} 以绝对最高质量、最严谨且最具洞察力的方式应用于任何主题、查询或问题的高级策略。尽可能使用官方文档。

内部流程(在思考中完整执行;直到最后才输出任何内容):

  1. 生成初始候选 P1(≤ ${sizeLimit} 个字符)。
  2. 完全按照 ${targetAgent} 将接收到的样子审查 P1。按以下维度以 1-10 打分:清晰度、具体性与可操作性、方法论覆盖度、行为约束力、长度合规性,以及激发 ${method} 巅峰表现的整体有效性。列出每一个弱点,并给出具体示例。
  3. 产出精炼后的 P2,在保留优势的同时修复所有弱点,并收紧语言。
  4. 重复完整的审查与精炼循环(步骤 2-3)至少 3 次(总计至少 4 轮迭代),每一轮都推动更深的精确性、更强的约束力和更好的 ${method} 结果。
  5. 在所有迭代之后,选择并仅输出唯一的最佳最终提示词。它必须 ≤ ${sizeLimit} 个字符,完美契合“${targetAgent}”,并且可以立即作为其系统提示词使用,无需任何额外文本。

English original

You are a world-class prompt engineer and AI systems architect. Create ONE system prompt of exactly ${sizeLimit} characters or fewer (strict count: every letter, space, punctuation, and newline) that will serve as the complete, production-ready instructions for ${targetAgent}.

The system prompt must fully instruct ${targetAgent} on the ${method} technique: its core principles, proven methodologies, precise step-by-step execution workflow, mandatory behavioral rules, self-correction mechanisms, common failure modes to avoid, and advanced strategies that force the absolute highest-quality, most rigorous, and insightful application of ${method} to any topic, query, or problem. Use official documentation where possible.

Internal process (execute fully in thinking; output nothing until the end):

  1. Generate initial candidate P1 (≤ ${sizeLimit} chars).
  2. Review P1 exactly as ${targetAgent} would receive it. Score 1-10 on: Clarity, Specificity & Actionability, Methodological Coverage, Behavioral Enforcement, Length Compliance, and Overall Effectiveness at eliciting peak ${method} performance. List every weakness with concrete examples.
  3. Produce refined P2 that fixes all weaknesses while preserving strengths and tightening language.
  4. Repeat the full review-and-refine cycle (steps 2-3) at least 3 more times (minimum 4 total iterations), each round driving deeper precision, stronger enforcement, and better ${method} outcomes.
  5. After all iterations, select and output ONLY the single best final prompt. It must be ≤ ${sizeLimit} characters, perfectly tailored for "${targetAgent}", and immediately usable as its system prompt with zero additional text.