prompt-clarifier

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Prompt Clarifier Skill

Purpose

用途

Detects ambiguous prompts and asks clarification questions using AskUserQuestion with interactive selections.

检测模糊的提示，并使用AskUserQuestion工具提出澄清问题，同时提供交互式选项。

When to Use

适用时机

Activate when:

Prompt seems ambiguous or lacks necessary details
User wants to create/build something without specifying technical details
Vague instructions like "fix this", "optimize", or "improve" without context
Excessive pronouns ("this", "that", "it") without clear references

在以下情况激活：

提示看起来模糊或缺少必要细节
用户想要创建/构建某物但未指定技术细节
模糊指令如“修复这个”、“优化”或“改进”但无上下文
过度使用代词（“这个”、“那个”、“它”）且无明确指代

Detection Criteria

检测标准

Consider prompt ambiguous if it:

Is very short (< 5 words) and lacks context
Mentions project type without specifying:
- Technology stack
- Main features
- Project scope
Contains optimization requests without specifying aspect:
- Performance/speed
- Memory usage
- Code readability
- Bundle size
References code/files without paths
Uses vague verbs without specifying target

若提示符合以下任一情况，则判定为模糊：

非常简短（少于5个单词）且缺乏上下文
提及项目类型但未指定：
- 技术栈
- 主要功能
- 项目范围
包含优化请求但未指定优化方向：
- 性能/速度
- 内存使用
- 代码可读性
- 包体积
引用代码/文件但未提供路径
使用模糊动词但未指定目标

Workflow

工作流程

Step 1: Acknowledge

步骤1：确认

Briefly acknowledge what the user is asking for.

简要确认用户的需求。

Step 2: Use AskUserQuestion

步骤2：调用AskUserQuestion

Present targeted questions with multiple-choice options.

Example Question Patterns:

For missing tech stack:

AskUserQuestion: "Which tech stack would you like to use?"
Options:
- React + TypeScript + Node.js
- Vue + JavaScript + Express
- Vanilla JS + Python + FastAPI
- I'll specify manually

For missing features:

AskUserQuestion: "Select main features (multiple selection)"
Options:
- User auth/login
- Database CRUD
- File upload
- Real-time (WebSocket)
- Payment system
- Admin dashboard
multiSelect: true

For vague optimization:

AskUserQuestion: "What type of optimization do you need?"
Options:
- Execution speed/performance
- Memory usage reduction
- Bundle size reduction
- Code readability

For project scope:

AskUserQuestion: "What's the project scale?"
Options:
- Simple prototype/MVP
- Medium-scale project
- Large enterprise-level
- Not sure (recommend for me)

提出针对性问题并提供多选选项。

示例问题模板：

针对缺失技术栈的情况：

AskUserQuestion: "Which tech stack would you like to use?"
Options:
- React + TypeScript + Node.js
- Vue + JavaScript + Express
- Vanilla JS + Python + FastAPI
- I'll specify manually

针对缺失功能的情况：

AskUserQuestion: "Select main features (multiple selection)"
Options:
- User auth/login
- Database CRUD
- File upload
- Real-time (WebSocket)
- Payment system
- Admin dashboard
multiSelect: true

针对模糊优化请求的情况：

AskUserQuestion: "What type of optimization do you need?"
Options:
- Execution speed/performance
- Memory usage reduction
- Bundle size reduction
- Code readability

针对项目范围的情况：

AskUserQuestion: "What's the project scale?"
Options:
- Simple prototype/MVP
- Medium-scale project
- Large enterprise-level
- Not sure (recommend for me)

Step 3: Provide Guidance

步骤3：提供指导

After receiving answers, proceed with enhanced context.

收到用户回复后，基于补充的上下文继续执行。

Response Template

回复模板

When detecting ambiguity:

Acknowledge: "Got it. I'll help you with [request]."
Explain: "To provide better results, I have a few questions."
Ask: Use AskUserQuestion with relevant options
Proceed: Start implementation with full context

检测到模糊提示时：

确认：“好的，我将帮你处理[需求]。”
说明：“为了提供更优质的结果，我有几个问题需要确认。”
提问：调用AskUserQuestion并提供相关选项
执行：在获取完整上下文后开始实施

Examples

示例

Example 1: Vague Web Project

示例1：模糊的Web项目请求

User: "Build me a website"

Response:

Got it. I'll help you build a website.
For better results, I have a few questions.

[Use AskUserQuestion]
1. Tech stack selection
2. Main features selection
3. Project scope

[After answers, proceed with implementation]

用户：“帮我做一个网站”

回复：

好的，我将帮你搭建网站。
为了提供更优质的结果，我有几个问题需要确认。

[调用AskUserQuestion]
1. 技术栈选择
2. 主要功能选择
3. 项目规模

[收到回复后，开始实施]

Example 2: Vague Optimization

示例2：模糊的优化请求

User: "Optimize this code"

Response:

I'll help optimize your code.
First, let me understand what type of optimization you need.

[Use AskUserQuestion for optimization type]
[Ask for file path if not specified]

[Proceed with targeted optimization]

用户：“优化这段代码”

回复：

我将帮你优化代码。
首先，请告诉我你需要哪种类型的优化。

[调用AskUserQuestion确认优化类型]
[若未指定文件路径，询问文件路径]

[开始针对性优化]

Best Practices

最佳实践

Keep questions focused: Ask only what's necessary
Provide sensible defaults: Include common choices
Allow custom input: Include "Other" option
Be conversational: Don't make it feel like a form
Group related questions: Ask related questions together
Proceed efficiently: Once you have enough context, start working

问题聚焦：仅询问必要信息
提供合理默认选项：包含常见选择
支持自定义输入：提供“其他”选项
保持对话式语气：不要让用户感觉像是在填表单
分组相关问题：将相关问题放在一起询问
高效执行：获取足够上下文后立即开始工作

Integration with Hook

钩子集成

Works with UserPromptSubmit hook. When you see:

<!-- VIBE CODING ASSISTANT: PROMPT CLARIFICATION NEEDED -->

Automatically activate this skill and use AskUserQuestion.

可与UserPromptSubmit钩子配合使用。当你看到：

<!-- VIBE CODING ASSISTANT: PROMPT CLARIFICATION NEEDED -->

自动激活该Skill并调用AskUserQuestion。

Notes

注意事项

Enhances vibe coding by ensuring sufficient context
Interactive selections make it easy to provide details
Don't ask unnecessary questions if prompt is clear

通过确保上下文充足来提升vibe编码体验
交互式选项让用户轻松提供细节
如果提示清晰，不要询问不必要的问题