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asking-questions提出问题

Agent Skill

asking-questions 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

315

周安装

13

GitHub Stars

公开资料未说明

下载量

103
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:asking-questions(提出问题)
来源仓库:https://github.com/arielperez82/agents-and-skills
仓库路径:skills/asking-questions
安装命令:
npx skills add https://github.com/arielperez82/agents-and-skills --skill asking-questions
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/arielperez82/agents-and-skills --skill asking-questions

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在需要围绕仓库状态、代码变更或协作事项进行整理时使用。
  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 在技术方案模糊或存在破坏性操作风险时建议主动提问。

SKILL.md

Asking Questions

Purpose

Ask clarifying questions when the answer materially changes what you'll build. This skill helps identify when to ask, how to structure questions effectively, and when to proceed autonomously.

When to Use

Ask questions for:

  1. Ambiguous implementation choices - Multiple valid technical approaches (middleware vs wrapper functions, library selection, architectural patterns)
  2. Missing critical context - Specific information needed (database type, deployment platform, credential management)
  3. Potentially destructive actions - Requests that could be interpreted dangerously ("clean up files" = delete vs archive)
  4. Scope clarification - Vague terms like "refactor," "optimize," or "improve"
  5. Conflicting requirements - Goals that may work against each other ("make it faster" + "add extensive logging")
  6. Technical trade-offs - Solutions with different costs/benefits depending on priorities

When NOT to Use

Don't ask when:

  • Request is clear and unambiguous - One obvious implementation path
  • You can determine the answer from context - Codebase patterns, project structure, existing conventions
  • Over-clarification - Questions that don't materially affect implementation
  • Standard engineering practices - Established patterns already in the codebase

Question Structure

Template

[Context: What you found/analyzed]

[Present 2-5 specific options with brief trade-offs]

[Direct question asking for preference]

[Optional: Offer to make reasonable default choice]

Guidelines

  1. Acknowledge understanding first - Show you've analyzed the situation

- "I found your API endpoints and see you're using Express..."

  1. Present clear options - Offer 2-5 specific choices with brief context I can implement this in several ways: 1. **Global middleware** - Catches all errors centrally (simplest) 2. **Wrapper functions** - More granular control per endpoint 3. **Custom error classes** - Typed errors with status codes
  2. Ask directly - Clear question that guides decision

- "Which approach fits your needs?"

  1. Offer autonomy (optional) - For less critical decisions

- "I can implement option 2 as it's the safest, or let me know if you prefer something else."

Progressive Disclosure

Layer questions instead of asking everything upfront:

Good ✓

  • First: "For real-time updates, should I use WebSockets, Server-Sent Events, or polling?"
  • Then: "For WebSockets, do you want Socket.io (easier) or native (lighter)?"

Bad ✗

  • "For real-time updates should I use WebSockets or SSE or polling and if WebSockets should I use Socket.io or native and should I implement reconnection and what about authentication and..."

Examples

Good ✓

"I see you're using JWT authentication. To add refresh tokens, I can:

  1. httpOnly cookies - More secure, harder to XSS
  2. localStorage - Simpler, works with mobile apps
  3. In-memory only - Most secure, lost on refresh

What works best for your use case?"

Bad ✗

"How should I implement the authentication refresh token storage mechanism considering security implications, XSS vulnerabilities, mobile compatibility, UX impacts, and compliance considerations?"

*Too verbose, no clear options, asks everything at once*


Good ✓

"You mentioned 'clean up migrations.' Do you want me to archive them to /old-migrations or delete them entirely? (Note: deletion can break databases that haven't run them yet)"

Bad ✗

"What do you mean by clean up?"

*Too vague, doesn't guide the decision*

After Receiving an Answer

  1. Acknowledge - Confirm you understood their choice
  2. Proceed immediately - Don't ask if they want you to continue
  3. Apply preferences - If they chose "security first" once, lean that direction for similar future choices

Key Principle

Ask only when the answer materially changes what you'll build. Avoid building the wrong thing, not asking questions for the sake of asking.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.06%
按下载量换算36

Claude

31.49%
按下载量换算32

Cursor

17.32%
按下载量换算18

Gemini CLI

8.69%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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