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Agent Skill · 研究检索

discovery-interview-guide(发现采访指南)

discovery-interview-guide 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。

discovery-interview-guide 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 69,522。

总安装 218周安装 9GitHub Stars 283下载 71核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:discovery-interview-guide(发现采访指南)
来源仓库:https://github.com/mohitagw15856/pm-claude-skills
仓库路径:skills/discovery-interview-guide
安装命令:
npx skills add https://github.com/mohitagw15856/pm-claude-skills --skill discovery-interview-guide
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/mohitagw15856/pm-claude-skills --skill discovery-interview-guide

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

discovery-interview-guide 专注于行为导向的深度访谈设计,拒绝未来假设类提问,聚焦过往真实经历。适用于产品经理、UX 研究员构建用户洞察体系,尤其擅长挖掘隐性需求与决策动因。采用故事线结构引导对话,结合五问法层层深入,确保问题始终围绕已验证的问题展开。

输出为可复用的访谈指南,但实际执行需人工介入以确保语境适配性与伦理合规性。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。

来源仓库内路径:skills/discovery-interview-guide

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mohitagw15856/pm-claude-skills --skill discove…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

discovery-interview-guide 怎么安装?

在终端执行 npx skills add https://github.com/mohitagw15856/pm-claude-skills --skill discovery-intervi…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

discovery-interview-guide 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

discovery-interview-guide 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

discovery-interview-guide 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

discovery-interview-guide 用的人多吗?

公开数据是累计安装 218 次,近一周安装 9 次,下载 71 次,GitHub 283 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

discovery-interview-guide 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
discovery-interview-guide

发现采访指南 · 本页

218283只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Discovery Interview Guide Skill

Design interviews that surface genuine insight — not validation of what you already believe. Every guide follows a story-based, past-behaviour-focused structure.

Core Principles

  1. Never ask about the future. "Would you use X?" tells you nothing. "Tell me about the last time you did X" tells you everything.
  2. Interview for behaviour, not opinion. Opinions are cheap. Behaviour is evidence.
  3. The 5 Whys. Every surface answer is a door. Keep opening doors.
  4. Confirm the problem before exploring the solution. Never show a prototype until you've confirmed the pain exists unprompted.

Interview Structure (60 minutes standard)

1. Warm-Up (5 min)

Build rapport. Get them talking. Don't discuss the topic yet.

  • "Tell me a bit about your role and what a typical week looks like for you."
  • "What tools do you rely on most day-to-day?"

2. Context Setting (10 min)

Understand their world before diving into the problem space.

  • "Walk me through how you currently [handle the domain area]."
  • "What does that process look like from start to finish?"
  • "Who else is involved when you do this?"

3. Problem Exploration (25 min) — THE CORE

Surface pain without leading.

  • "Tell me about the last time you had to [relevant task]. What happened?"
  • "What was the hardest part of that?"
  • "How did you handle it?"
  • "What did you try before settling on that approach?"
  • "What does it cost you when this goes wrong?" (time, money, stress, reputation)
  • "If you could wave a magic wand and change one thing about this process, what would it be?"

⚠️ Do not mention your product or feature during this phase.

4. Current Solutions (10 min)

Understand the competitive landscape from their perspective.

  • "What tools or workarounds do you use today for this?"
  • "What do you like about [current solution]? What frustrates you?"
  • "Have you tried other approaches? What happened?"

5. Wrap-Up (10 min)

  • "Is there anything about this topic we haven't covered that you think I should know?"
  • "Is there anyone else you'd recommend I speak to?"
  • "Would you be open to a follow-up if I have more questions?"

Output Format

Discovery Interview Guide — [Topic] — [Date]

Research Goal: [One sentence: what decision will this research inform?] Target Participant Profile: [Role, company size, behaviour qualifier]

Screener Questions (for recruiting):

  1. [Question] → Must answer: [Y/N or specific]
  2. [Question] → Must answer: [Y/N or specific]
  3. [Disqualifier question] → Disqualify if: [answer]

Interview Guide:

[Full structured guide using the format above, customised to the specific research topic]

Synthesis Template (fill after each interview):

  • Key quote: "[verbatim]"
  • Core pain: [1 sentence]
  • Current workaround: [what they're doing today]
  • Intensity (1–5): [how painful is this?]
  • Surprise/unexpected finding: [anything that challenged your assumptions]

Pattern Detection (after 5+ interviews):

  • Pain mentioned by [X/N] participants: [theme]
  • Workaround used by [X/N] participants: [theme]
  • Most emotionally charged moment in interviews: [observation]

Required Inputs

Ask the user for these if not provided:

  • Research topic or question (what decision will this inform?)
  • Target participant profile (role, behaviour, company type)
  • Session length (30 / 45 / 60 / 90 minutes)
  • Number of interviews planned
  • Known hypotheses to test or avoid confirming prematurely (optional)

Quality Checks

  • No future-tense questions ("would you...") — only past-behaviour questions
  • Product or solution not mentioned until after pain is confirmed
  • Questions open-ended (cannot be answered yes/no)
  • Synthesis template included for per-session notes
  • Screener questions identify and disqualify wrong participants

Guidelines

  • Recommend 5–8 interviews to reach thematic saturation for most discovery questions
  • Always record with permission — transcripts beat notes
  • If user is new to interviewing: remind them to stay silent after asking a question (aim for 80/20 participant-to-interviewer talking ratio)
  • Never synthesise during the interview — do it after, when you can look across sessions
  • Flag confirmation bias: if user writes questions that lead toward a predetermined answer, rewrite them as open-ended alternatives

平台分布

Codex

35%
按下载量换算25

Claude

27.23%
按下载量换算19

Cursor

19.19%
按下载量换算14

Gemini CLI

8.88%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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