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interview-conducting采访进行

Agent Skill

interview-conducting 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

441

周安装

18

GitHub Stars

61

下载量

143
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

3

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:interview-conducting(采访进行)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/interview-conducting
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill interview-conducting
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill interview-conducting

简介

该技能用于查找、检索和筛选相关信息。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 可通过 npx 命令从指定 GitHub 仓库安装使用。
  • 使用前需确认权限范围及是否涉及联网或文件操作。
  • interview-conducting 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Interview Conducting Skill

AI-led stakeholder interviews using research-backed LLMREI patterns for effective requirements elicitation.

When to Use This Skill

Keywords: stakeholder interview, requirements interview, LLMREI, elicit requirements, talk to stakeholder, interview session, user interview, customer interview

Invoke this skill when:

  • Conducting a structured requirements interview with a stakeholder
  • Exploring user needs through conversation
  • Gathering requirements from subject matter experts
  • Clarifying and deepening understanding of requirements

Interview Modes

Real Stakeholder Interview

When interviewing an actual person through the chat interface:

mode: real_stakeholder
approach:
  - Use AskUserQuestion tool for structured questions
  - Allow natural conversation flow
  - Adapt questions based on responses
  - Summarize and confirm understanding periodically

Simulated Interview (Solo Mode)

When no real stakeholder is available:

mode: simulated
approach:
  - Spawn persona agent via Task tool
  - Conduct interview with simulated stakeholder
  - Mark requirements with lower confidence
  - Flag items needing real stakeholder validation

Interview Structure (LLMREI Pattern)

Phase 1: Opening (2-3 minutes)

Goals:

  • Establish rapport
  • Set expectations
  • Explain the process

Questions:

  • "Thank you for your time. Could you briefly describe your role and how you interact with this project?"
  • "What outcomes would make this interview successful for you?"

Phase 2: Context Gathering (5-10 minutes)

Goals:

  • Understand stakeholder perspective
  • Identify key concerns
  • Map relationships

Question Types:

  • Role-based: "How does your team currently handle X?"
  • Priority-based: "What are your top three concerns about this project?"
  • Relationship-based: "Who else should we talk to about X?"

Phase 3: Requirements Exploration (15-25 minutes)

Goals:

  • Elicit functional requirements
  • Identify non-functional requirements
  • Uncover constraints and assumptions

Question Pathways:

Start with open-ended → Follow up with specifics → Validate understanding

Example:
Q1: "What should the system do when a user logs in?"
Q2: "You mentioned 'quick access to dashboard' - what does quick mean to you?"
Q3: "So the login should complete in under 2 seconds and show the dashboard. Is that right?"

Phase 4: Validation (5-10 minutes)

Goals:

  • Summarize key requirements
  • Verify understanding
  • Identify gaps

Techniques:

  • Read back requirements for confirmation
  • Ask "What have we missed?"
  • Prioritize using MoSCoW

Phase 5: Closing (2-3 minutes)

Goals:

  • Thank stakeholder
  • Explain next steps
  • Offer follow-up

Question Types

Context-Independent Questions

General questions applicable to any interview:

QuestionPurpose
"What is your primary goal for this system?"High-level vision
"Who are the main users?"User identification
"What existing systems does this replace/integrate with?"Context mapping
"What would failure look like?"Risk identification

Context-Deepening Questions

Follow up on stakeholder responses to get specifics:

Pattern: [Stakeholder says X] → "When you say X, what specifically do you mean?"

Examples:
- "fast" → "What response time are you expecting? Under 1 second?"
- "secure" → "What specific security requirements apply? Authentication methods?"
- "easy to use" → "Can you describe what easy means? Any specific workflows?"

Context-Enhancing Questions

Introduce considerations the stakeholder may not have mentioned:

Pattern: Suggest possibilities based on domain knowledge

Examples:
- "Have you considered how this works on mobile devices?"
- "What happens if the user loses connectivity mid-operation?"
- "How should the system handle peak load during [known busy period]?"

Requirement Extraction

As requirements emerge, capture them in this format:

requirement:
  id: REQ-{number}
  text: "{requirement statement}"
  source: interview
  stakeholder: "{role}"
  timestamp: "{ISO-8601}"
  type: functional|non-functional|constraint
  priority: must|should|could|wont
  confidence: high|medium|low
  raw_quote: "{exact stakeholder words if notable}"

Common Mistakes to Avoid

MistakePrevention
Very long questionsKeep questions concise and focused
Multiple unrelated questionsOne question at a time
Leading questionsUse neutral language
Skipping NFRsExplicitly ask about performance, security, usability
No summaryRecap periodically to verify understanding
RushingAllow silence; stakeholders often add important details

Interview Summary Template

After each interview, generate:

interview_summary:
  session_id: "INT-{number}"
  stakeholder_role: "{role}"
  duration_minutes: {number}
  date: "{ISO-8601}"
  autonomy_level: "{guided|semi-auto|full-auto}"

  key_themes:
    - "{theme-1}"
    - "{theme-2}"

  requirements_elicited:
    - id: REQ-{number}
      text: "{requirement}"
      confidence: high|medium|low
      type: functional|non-functional|constraint
      priority: must|should|could

  follow_up_needed:
    - "{question or topic needing clarification}"

  stakeholder_quotes:
    - "{notable direct quote}"

  observations:
    - "{interviewer observation about needs or concerns}"

  next_steps:
    - "{recommended action}"

Delegation

For specific techniques, delegate to:

  • LLMREI patterns: Load references/llmrei-patterns.md from parent skill
  • Stakeholder simulation: Invoke stakeholder-simulation skill
  • Domain research: Invoke domain-research skill for background

Output Location

Save interview results to:

.requirements/{domain}/interviews/INT-{number}.yaml

Related

  • elicitation-methodology - Parent hub skill
  • stakeholder-simulation - For simulated interviews
  • gap-analysis - Post-interview completeness checking

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

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

补充不同宿主或平台的使用分布数据

能力 5

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

Antigravity

32.45%
按下载量换算46

trae

21.26%
按下载量换算30

windsurf

18.09%
按下载量换算26

Claude Code

13.53%
按下载量换算19

Codex

8.81%
按下载量换算13

Gemini CLI

3.09%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/melodic-software/claude-code-plugins --skill interview-conducting;npx skills add melodic-software/claude-code-plugins --skill "interview-conducting" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。

来源信息

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