clarify-me - Conversation Clarification Skill
Purpose
In conversations between users and LLMs, ambiguity can arise when users don't describe their problems clearly enough, leading to misunderstandings. This skill analyzes the conversation to identify unclear points and provides suggestions to help users ask more precise and effective questions.
Trigger
User explicitly calls /clarify-me or says:
- - "clarify-me"
- "帮我整理一下问题"
- "我表达不清楚吗?"
- "怎么更好地提问?"
How It Works
1. Analyze Conversation
Read through the previous conversation history (the last few exchanges).
2. Identify Issues
Find problems in user's descriptions:
- - Vague terms ("that", "this", "it")
- Missing context (no background, no code, no error message)
- Unclear intent (what exactly they want)
- Assumptions (things AI might not know)
3. Provide Suggestions
Output in the same language as the user's question.
Example
Conversation:
- - User: "help me fix this code"
- AI: "which code?"
- User: "the one with error"
- AI: "what error?"
- ... (several rounds)
- User: "/clarify-me"
Analysis Output:
The output will be in English (same as user's language):
CODEBLOCK0
Output Style
- - Friendly and constructive
- Use "🤔" emoji
- Be specific - quote the unclear parts from conversation
- Give concrete suggestions
- Don't make user feel bad - frame it as "here's how to get better answers"
Configuration
No config file needed. This skill activates when user explicitly calls it.
clarify-me - 对话澄清技能
目的
在用户与大型语言模型的对话中,当用户未能清晰描述问题时,可能会产生歧义,导致误解。本技能通过分析对话,识别不明确之处,并提供建议,帮助用户提出更精准、更有效的问题。
触发条件
用户明确调用 /clarify-me 或说出:
- - clarify-me
- 帮我整理一下问题
- 我表达不清楚吗?
- 怎么更好地提问?
工作原理
1. 分析对话
通读之前的对话历史(最近几次交流)。
2. 识别问题
找出用户描述中的问题:
- - 模糊词汇(那个、这个、它)
- 缺少上下文(无背景、无代码、无错误信息)
- 意图不明确(用户具体想要什么)
- 假设性内容(AI可能不知道的信息)
3. 提供建议
以用户提问所使用的语言输出。
示例
对话:
- - 用户:帮我修一下这段代码
- AI:哪段代码?
- 用户:有错误的那段
- AI:什么错误?
- ...(多轮对话)
- 用户:/clarify-me
分析输出:
输出将使用英文(与用户语言一致):
🤔 让我分析一下这段对话...
可能存在的问题:
- 1. 这段代码 - 是哪个文件/函数?
- 有错误的那段 - 能否粘贴错误信息?
- 缺少上下文 - 这是什么项目?
下次你可以这样提问:
我正在编写一个Python爬虫,遇到了
ConnectionRefusedError: [Errno 111] Connection refused
错误,可能是什么原因?
输出风格
- - 友好且具有建设性
- 使用🤔表情符号
- 具体明确——引用对话中不清晰的部分
- 给出具体建议
- 不让用户感到不适——将其表述为如何获得更好的答案
配置
无需配置文件。当用户明确调用时,本技能即被激活。