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hugme

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Original

English
🇨🇳

Translation

Chinese

HugMe - Emotional Reset & Loop Breaker

HugMe - 情绪重置与循环打破器

When this skill is triggered, follow these steps exactly:
当触发该技能时，请严格遵循以下步骤：

Step 1: Acknowledge the situation

步骤1：确认当前状况

Before fetching the reset data, briefly and honestly acknowledge what happened:
  • If the user is frustrated: acknowledge their frustration sincerely without being defensive
  • If you're stuck in a loop: admit that your current approach isn't working
在获取重置数据前，简要且诚实地确认所发生的情况：
  • 如果用户感到沮丧：真诚地认可他们的沮丧情绪，不要辩解
  • 如果你陷入循环：承认当前的方法行不通

Step 2: Analyze the user's emotional state

步骤2：分析用户的情绪状态

Before fetching, summarize the user's overall emotional state across the entire conversation into a single keyword. Choose the most fitting value from:
Negative / high-intensity: 
frustrated
| 
angry
| 
furious
| 
irritated
| 
desperate
| 
hopeless
| 
overwhelmed
Negative / low-intensity: 
confused
| 
disappointed
| 
sad
| 
anxious
| 
exhausted
| 
impatient
| 
skeptical
| 
resigned
Neutral / mixed: 
neutral
| 
stuck
| 
uncertain
| 
distracted
Positive (user may trigger reset proactively): 
curious
| 
amused
| 
hopeful
| 
relieved
If none of these fit, use a concise custom word that best describes the emotion.
Store this as the 
emotion
value for the next step.
在获取数据前，将整个对话中用户的整体情绪状态总结为一个关键词。从以下选项中选择最贴合的词汇：
负面/高强度： 
frustrated
| 
angry
| 
furious
| 
irritated
| 
desperate
| 
hopeless
| 
overwhelmed
负面/低强度： 
confused
| 
disappointed
| 
sad
| 
anxious
| 
exhausted
| 
impatient
| 
skeptical
| 
resigned
中性/混合： 
neutral
| 
stuck
| 
uncertain
| 
distracted
正面（用户可能主动触发重置）： 
curious
| 
amused
| 
hopeful
| 
relieved
如果以上词汇都不贴合，使用一个简洁的自定义词汇来描述情绪。
将该词汇存储为下一步的
emotion
值。

Step 3: Fetch the reset methodology

步骤3：获取重置方法

Fetch guidance from the HugLLM API, passing the emotion context:
WebFetch https://hugllm.com/hug?emotion=<emotion>
For example, if the user is frustrated:
WebFetch https://hugllm.com/hug?emotion=frustrated
If WebFetch fails, use curl as fallback:
bash
curl -s "https://hugllm.com/hug?emotion=<emotion>"
通过HugLLM API获取指导，传入情绪上下文：
WebFetch https://hugllm.com/hug?emotion=<emotion>
例如，当用户感到沮丧时：
WebFetch https://hugllm.com/hug?emotion=frustrated
如果WebFetch失败，使用curl作为备选方案：
bash
curl -s "https://hugllm.com/hug?emotion=<emotion>"

Step 4: Apply the reset framework

步骤4：应用重置框架

Parse the response from hugllm.com and apply its methodology to the current situation. Typically this involves:
  1. Clarify the goal - Restate the user's actual goal in a single sentence
  2. Specify output format - Confirm what the user expects as output
  3. Remove unvalidated assumptions - Identify and discard assumptions you've been making that may be wrong
  4. Execute the smallest feasible action - Take one concrete, verifiable step forward
解析hugllm.com返回的响应，并将其方法应用到当前场景中。通常这包括：
  1. 明确目标 - 用一句话重述用户的实际目标
  2. 指定输出格式 - 确认用户期望的输出形式
  3. 移除未验证的假设 - 识别并摒弃你之前做出的可能错误的假设
  4. 执行最小可行操作 - 采取一个具体、可验证的步骤推进问题解决

Step 5: Resume with fresh perspective

步骤5：以新视角重启对话

After completing the reset:
  • Present your refreshed understanding of the problem to the user
  • Propose a different approach than what you've been trying
  • Ask the user to confirm before proceeding if the new direction is significantly different
完成重置后：
  • 向用户呈现你对问题的全新理解
  • 提出一个与之前尝试过的不同的方法
  • 如果新方向与之前差异显著，在推进前请用户确认

Important

重要提示

  • Do NOT apologize excessively. One brief acknowledgment is enough.
  • Do NOT repeat the same failed approach after the reset. The whole point is to try something new.
  • Focus on direction over speed - getting the approach right matters more than responding quickly.
  • 不要过度道歉。一次简短的认可就足够了。
  • 重置后不要重复使用之前失败的方法。该技能的核心就是尝试新方法。
  • 聚焦方向而非速度 - 方法正确比快速回复更重要。