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ClaudeAdvancedLearning

思维树(ToT)探索器

同时探索多条思维分支,逐一评估优劣,沿最优路径找到最佳解决方案。

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📋 提示词全文

使用思维树方法解决[问题]。第一步:生成3条思路分支。第二步:将各分支评级为高/中/低。第三步:从最优分支再延伸出3个子节点。第四步:沿最优路径推进至最终解决方案。

💬 输入示例

问题:小型团队如何在6个月内成功上线SaaS产品?

✨ 输出示例

分支1:MVP优先策略【高】——快速验证核心功能,降低风险 分支2:全功能开发【低】——周期长,资源消耗大 分支3:合作伙伴驱动【中】——依赖外部资源,存在不确定性 最优路径:分支1 → 快速推出MVP → 收集用户反馈 → 迭代优化核心功能 → 正式发布

🏷️ 标签

#思维树#问题解决#策略规划#分支探索#决策

💡 使用技巧

  • Replace the variables in brackets ([]) with your specific situation.
  • Specify the desired tone and length of writing for more accurate results.
  • Request additional modifications based on the generated output to improve quality.
  • Specifying a particular audience allows AI to adjust vocabulary and explanation level.

🔗 相关提示词

Effective Writing Strategies with AI

AI writing prompts let you efficiently produce blog posts, business emails, press releases, novels, and more. The key is to assign AI a precise role, and clearly specify the desired tone, length, and target audience. For example, requesting "write a 2000-word SEO-optimized blog post in a professional tone" yields significantly higher-quality output. After generating a draft, iterative feedback helps elevate the final quality step by step.

This prompt belongs to the Learning category, optimized for Claude at a Advanced level. It is systematically designed applying core prompt engineering principles: role assignment, context setting, and constraints.

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