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prompt-clarifier

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Original

English
🇨🇳

Translation

Chinese

Prompt Clarifier Skill

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:
  1. Prompt seems ambiguous or lacks necessary details
  2. User wants to create/build something without specifying technical details
  3. Vague instructions like "fix this", "optimize", or "improve" without context
  4. Excessive pronouns ("this", "that", "it") without clear references
在以下情况激活：
  1. 提示看起来模糊或缺少必要细节
  2. 用户想要创建/构建某物但未指定技术细节
  3. 模糊指令如“修复这个”、“优化”或“改进”但无上下文
  4. 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:
  1. Acknowledge: "Got it. I'll help you with [request]."
  2. Explain: "To provide better results, I have a few questions."
  3. Ask: Use AskUserQuestion with relevant options
  4. Proceed: Start implementation with full context
检测到模糊提示时：
  1. 确认：“好的，我将帮你处理[需求]。”
  2. 说明：“为了提供更优质的结果，我有几个问题需要确认。”
  3. 提问：调用AskUserQuestion并提供相关选项
  4. 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

  1. Keep questions focused: Ask only what's necessary
  2. Provide sensible defaults: Include common choices
  3. Allow custom input: Include "Other" option
  4. Be conversational: Don't make it feel like a form
  5. Group related questions: Ask related questions together
  6. Proceed efficiently: Once you have enough context, start working
  1. 问题聚焦：仅询问必要信息
  2. 提供合理默认选项：包含常见选择
  3. 支持自定义输入：提供“其他”选项
  4. 保持对话式语气：不要让用户感觉像是在填表单
  5. 分组相关问题：将相关问题放在一起询问
  6. 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