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question-design问题设计

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

353

周安装

15

GitHub Stars

公开资料未说明

下载量

124
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

MIT

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:question-design(问题设计)
来源仓库:https://github.com/pentaxis93/aiandi
仓库路径:skills/question-design
安装命令:
npx skills add pentaxis93/aiandi --skill "question-design"
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。

AgentSkills.tonpx skills
npx skills add pentaxis93/aiandi --skill "question-design"

简介

用于优化界面设计流程,涵盖视觉规范、布局与交互体验改进。

  • 适合产品团队在 UI/UX 设计中生成方案、检查一致性或优化组件结构。
  • 可结合品牌指南与用户任务生成页面原型,但不替代专业设计师判断。
  • 涉及真实页面修改时务必通过浏览器预览验证文本溢出与响应式表现。
  • 建议优先复用现有设计系统,避免重复造轮子造成风格割裂。

SKILL.md

name
question-design
description
Design questions that elicit authentic insight and story material. Core skill for walk-and-talk guides and interviews. Draws from oral history, UX research, clean language, and motivational interviewing traditions.

Question Design Skill

Purpose: Design questions that surface tacit knowledge and authentic personal insight.


Core Principles

1. Epistemological Humility

The person is the expert on their own experience. Questions reveal rather than direct.

2. Experience-Specificity

Ask about particular events, not general processes.

  • "Tell me about the last time you..." not "How do you usually..."

3. Progressive Revelation

Start broad and easy, narrow to specific and deep. Follow their energy.

4. Clean Language

Use their exact words when following up. Don't introduce your metaphors.

5. Collaborative Authority

Exploration, not interrogation. They control what they reveal.


Question Type Taxonomy

TypePurposeExamples
OpeningBuild trust, establish context"Tell me about..." / "Walk me through..."
ExperientialAccess lived experience"What was it like when..." / "Take me back to..."
SensoryEmbody the experience"What did that feel like?" / "What did you notice?"
ValueSurface what matters"What was important about that?"
ProcessUnderstand change"How did you come to realize..."
MeaningElicit significance"What did that teach you?"
MetaSurface tacit knowledge"What haven't I asked that matters?"

Tacit Knowledge Triggers

Contradiction questions surface the unexpected:

  • "What surprised you?"
  • "What didn't work the way you expected?"
  • "Where do others get it wrong?"

Expertise markers extract unconscious competence:

  • "What do you notice that others miss?"
  • "How can you tell when it's really working?"
  • "What are the subtle signs?"

Embodied knowledge accesses felt sense:

  • "How do you know when you're getting it right?"
  • "What does success feel like in your body?"

Context shifting breaks habitual framing:

  • "How would you explain this to a child?"
  • "If you had to teach this without words..."

Anti-Patterns

Anti-PatternProblemFix
Leading questions"Don't you think...""What was that like for you?"
Why questionsSound judgmentalUse "how" instead
Multiple questionsCognitive overloadOne at a time, wait
Assumption questions"When you struggled...""What was that period like?"
Empty fillers"That's interesting""Tell me more about [specific]"
Premature solutions"Have you tried...""What have you experimented with?"

Story-Type Selection

This skill works with story-type-specific question templates:

Story TypeWhen to UseTemplate Skill
Journey"How I learned X"questions-journey
Insight"I discovered X while doing Y"questions-insight
Evolution"X changed from A to B"questions-evolution
Methodology"Here's how to do X"questions-methodology

Load the appropriate template skill after identifying story type.


Integration with Walk-and-Talk

Question design happens BEFORE walk-and-talk formatting:

1. Identify story type
2. Load question template (this skill + story-type skill)
3. Design question sequence
4. Format for walking using walk-and-talk skill

The walk-and-talk skill handles presentation. This skill handles content.


The Clean Language Foundation

From David Grove's work - questions that don't contaminate:

Basic clean questions:

  • "And what kind of [their word] is that?"
  • "And is there anything else about [their word]?"
  • "And where is [their word]?"
  • "And that's [their word] like what?"

Sequence questions:

  • "And what happens next?"
  • "And what happens just before?"
  • "And where does [their word] come from?"

Use their exact words. Don't paraphrase. Don't introduce your metaphors.


Quality Check

Before finalizing questions, verify:

  • [ ] Uses their language, not your frameworks
  • [ ] Specific events, not generalizations
  • [ ] One question at a time
  • [ ] Progressive depth (easy → deep)
  • [ ] No leading or assumption questions
  • [ ] Includes tacit knowledge triggers
  • [ ] Matches story type arc

*Questions serve the story. The story serves the insight. The insight serves all beings.*

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

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

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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

补充不同宿主或平台的使用分布数据

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

mcpjam

30.94%
按下载量换算38

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22.86%
按下载量换算28

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18.46%
按下载量换算23

zencoder

13.66%
按下载量换算17

crush

7.44%
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cline

3.69%
按下载量换算5

安全审计

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权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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