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Agent Skill · 研究检索

interview-frameworks(面试框架)

interview-frameworks 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。

interview-frameworks 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 80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:interview-frameworks(面试框架)
来源仓库:https://github.com/slgoodrich/agents
仓库路径:skills/interview-frameworks
安装命令:
npx skills add https://github.com/slgoodrich/agents --skill interview-frameworks
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/slgoodrich/agents --skill interview-frameworks

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。

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-frameworks 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/interview-frameworks

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/slgoodrich/agents --skill interview-frameworks;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

interview-frameworks 怎么安装?

在终端执行 npx skills add https://github.com/slgoodrich/agents --skill interview-frameworks。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

interview-frameworks 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。

interview-frameworks 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。

interview-frameworks 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。

interview-frameworks 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 80 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。

interview-frameworks 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
interview-frameworks

面试框架 · 本页

21880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

Interview Frameworks

Overview

Frameworks for conducting effective user interviews including question design, interviewing techniques, and extracting actionable insights.

Core Principle: Good interviews come from great questions. Focus on past behavior and specific examples, not hypotheticals or opinions. Listen more than you talk.

Origin: Synthesized from Teresa Torres ("Continuous Discovery Habits"), Erika Hall ("Just Enough Research"), and Rob Fitzpatrick ("The Mom Test").

Key Insight: User interviews are the foundation of customer discovery. Good interviews uncover unmet needs, validate assumptions, and reveal the "why" behind user behavior that quantitative data cannot.

When to Use This Skill

Auto-loaded by agents:

  • research-ops - For user interview guides and JTBD interviews

Use when you need:

  • Customer discovery research
  • Problem validation
  • Solution validation
  • Usability testing
  • Feature prioritization research
  • Understanding user workflows
  • Jobs-to-be-Done research

Four Types of User Interviews

Discovery Interviews (Problem Exploration)

Purpose: Understand problems, needs, contexts, pain points

When: Early product development, new market, problem validation

Focus:

  • Current workflows
  • Pain points and workarounds
  • Unmet needs
  • Context and constraints

Example question: "Walk me through how you currently manage projects for your team"

Complete script: assets/interview-script-templates.md (Discovery section)


Validation Interviews (Solution Testing)

Purpose: Test solutions, get feedback on concepts

When: After problem validation, before building

Focus:

  • Solution fit with workflow
  • Feature prioritization
  • Willingness to pay
  • Alternatives considered

Example question: "If we built [solution], how would that fit into your workflow?"

Complete script: assets/interview-script-templates.md (Validation section)


Usability Interviews (Product Testing)

Purpose: Test actual product, identify friction

When: During or after building

Focus:

  • Task completion
  • Confusion points
  • Feature clarity
  • Missing functionality

Example question: "Try creating a project. Think aloud as you go."

Complete script: assets/interview-script-templates.md (Usability section)


Generative Interviews (Open Exploration)

Purpose: Broad exploration, no specific hypothesis

When: Exploring new markets or pivots

Focus:

  • Day in the life
  • Goals and motivations
  • Decision-making process
  • Context and constraints

Example question: "Tell me about a recent project that didn't go as planned"

Complete script: assets/interview-script-templates.md (Generative section)


Core Interview Techniques

The Mom Test (Rob Fitzpatrick)

Principle: Ask questions that even your mom couldn't lie to you about

Bad questions (invite lies):

  • "Would you buy this?" (people lie about future)
  • "Do you think this is a good idea?" (want to be nice)
  • "Would you use this feature?" (hypothetical)

Good questions (reveal truth):

  • "When's the last time [problem] came up?" (frequency)
  • "How much time/money did that cost you?" (severity)
  • "What are you currently doing to solve it?" (existing solutions)
  • "Show me your [current solution]" (actual behavior)
  • "Who else should I talk to?" (validates problem is real)

Complete guide: assets/questioning-techniques-template.md (Mom Test section)


The 5 Whys

Purpose: Get to root cause by asking "why" repeatedly

Process:

  1. Start with observation
  2. Ask "why" or "what causes that?"
  3. Repeat 4-5 times until reaching root cause
  4. Stop when you have actionable insight

Example:

"I don't use feature X"
→ Why? "It's too complicated"
→ Why complicated? "Don't understand buttons"
→ Why? "Labels unclear"
→ Why? "Use jargon I don't know"
→ Why? "Never learned terminology"

Root cause: Onboarding gap + plain language needed

Complete guide: assets/questioning-techniques-template.md (5 Whys section)


Jobs-to-be-Done (JTBD) Interview

Framework: Understand the "job" user is hiring product to do

Question Structure:

  1. Context: "Tell me about the last time you [hired product/made decision]"
  2. Situation: "What was happening? What triggered you?"
  3. Desired Outcome: "What were you hoping to achieve?"
  4. Alternatives: "What else did you consider? Why didn't those work?"
  5. Decision: "What made you choose [solution]?"

Key Insight: Find the real job (not surface level)

  • Surface: "Manage tasks"
  • Actual job: "Maintain visibility and accountability as team scales"

Complete guide: assets/questioning-techniques-template.md (JTBD section)


Laddering Technique

Purpose: Connect features to emotional benefits

Structure: Attributes → Consequences → Values

Process: Keep asking "Why does that matter?" until reaching emotional value

Example:

Feature: "Real-time collaboration"
→ "So team can work together" (Consequence)
→ "Faster to get things done" (Consequence)
→ "I can go home on time" (Consequence)
→ "Spend time with my family" (Value)

Marketing insight: Sell "time with family" not "real-time sync"

Complete guide: assets/questioning-techniques-template.md (Laddering section)


Best Practices

DO

Ask open-ended questions:

  • ✓ "How do you currently solve [problem]?"
  • ✗ "Do you solve [problem] with a spreadsheet?" (yes/no)

Listen more than talk (80/20 rule):

  • ✓ Silent pauses (let them fill silence)
  • ✗ Jump to next question immediately

Ask for specific examples:

  • ✓ "Tell me about the last time you..."
  • ✗ "Generally, do you...?" (hypothetical)

Probe for details:

  • ✓ "How much time does that take?"
  • ✗ Accept vague answers ("a lot")

Ask about past behavior:

  • ✓ "When did you last...?"
  • ✗ "Would you...?" (future hypothetical)

DON'T

Lead the witness:

  • ✗ "Wouldn't it be great if...?"
  • ✓ "How would that fit your workflow?"

Pitch your solution (discovery phase):

  • ✗ "Our tool solves this with [feature]!"
  • ✓ "What would an ideal solution look like?"

Ask hypothetical questions:

  • ✗ "If we built X, would you use it?"
  • ✓ "How did you decide to try your current solution?"

Multi-part questions:

  • ✗ "Do you use A and what about B, also C?"
  • ✓ One question at a time

Participant Recruitment

Define Target

Must-Have Criteria (Disqualify if NO):

  • Role: [Specific role]
  • Company size: [Range]
  • Uses [product category]
  • [Decision authority level]

Disqualify:

  • Works at competitor
  • Friends/family (too biased)
  • Professional interviewees (6+ studies/year)

Complete guide: assets/participant-recruitment-guide.md

Screener templates, sourcing channels, outreach templates, incentive guidance


Sourcing Channels

Your users (30-50% response rate):

  • Best for: Usability testing, current user feedback
  • Incentive: $0-50

Your leads (20-40% response rate):

  • Best for: Problem validation, why they didn't buy
  • Incentive: $50-75

LinkedIn (5-15% response rate):

  • Best for: Discovery, reaching specific roles
  • Incentive: $50-75

Research panels (Respondent.io, User Interviews):

  • Best for: Fast recruitment, hard-to-reach segments
  • Cost: $100-300 per participant

Communities (Reddit, Slack, Discord):

  • Best for: Niche audiences, passionate users
  • Incentive: $0-75 (sometimes free)

Note-Taking and Recording

Recording

Always ask permission:

"Do you mind if I record for my notes? Only our team will see it."

Tools:
- Zoom/Google Meet (built-in)
- Otter.ai (transcription)
- Grain.co (AI highlights)

Benefits: Don't miss details, review later, share with team, focus on listening


Two-Column Notes

Left: Observations (What they said/did) Right: Interpretations (What you think it means)

Example:

ObservationsInterpretations
"Use spreadsheets"Pain: Manual, error-prone?
"Takes 2 hours every Monday"Severity: HIGH (100hr/year)
[Frustrated sigh]Emotion: Strong frustration

Complete guide: assets/note-taking-analysis-guide.md

Recording best practices, note templates, immediate debrief, transcription review


Analysis and Synthesis

Affinity Mapping

Process:

  1. Write observations on sticky notes (one per note)
  2. Put all notes on wall (physical or digital)
  3. Group similar notes together
  4. Name each cluster (theme)
  5. Look for patterns across clusters

Example themes:

  • "Manual reporting overhead"
  • "Management visibility needs"
  • "Tool fragmentation"
  • "Coordination failures"

Meta-pattern: Management needs visibility → Forces manual reporting → Causes coordination failures


Extracting Insights

Good Insight Formula: Observation + Pattern + Implication

Bad (too vague):

  • "Users don't like the UI"

Good (specific, surprising, actionable):

  • "5/8 users abandoned task at 'Add Members' step because 'team member' label was ambiguous, suggesting we need clearer labeling and examples"

Insight Template:

INSIGHT: [One-sentence summary]
EVIDENCE: [X/Y participants, specific data]
PATTERN: [How many? What's common?]
IMPLICATIONS:
- Product: [What to build/change]
- Priority: [HIGH/MEDIUM/LOW]
- Risk if ignored: [What happens if we don't act]
QUOTES: [Compelling verbatim quotes]

Complete guide: assets/note-taking-analysis-guide.md (Analysis section)

Observation extraction, affinity mapping detailed process, insight templates, analysis tools


Research Deliverables

Report Types

Email Summary (30 min):

  • Best for: Quick updates, busy team members
  • Format: TL;DR + 3 findings + recommendations

Slide Deck (2-4 hours):

  • Best for: Presentations, cross-functional teams
  • Format: 15-25 slides with findings and quotes

Research Report (4-8 hours):

  • Best for: Comprehensive documentation
  • Structure:

1. Executive Summary (1 page) 2. Methodology (1 page) 3. Key Findings (3-5 pages) 4. Recommendations (1-2 pages) 5. Appendix

Highlight Reel (1-2 hours):

  • Best for: Emotional impact, building empathy
  • Format: 2-4 min video with 3-5 user clips

Complete guide: references/research-deliverables-guide.md

Report structures, presentation formats, storytelling with research, video highlights, sharing across org


Templates and References

Assets (Ready-to-Use Templates)

Copy-paste these for immediate use:

  • assets/interview-script-templates.md - 4 complete interview scripts (Discovery, Validation, Usability, Generative) with timing and questions
  • assets/questioning-techniques-template.md - Mom Test, 5 Whys, JTBD, Laddering, probing techniques
  • assets/participant-recruitment-guide.md - Screener surveys, sourcing channels, outreach templates, incentive guide
  • assets/note-taking-analysis-guide.md - Recording setup, two-column notes, affinity mapping, insight extraction

References (Deep Dives)

When you need comprehensive guidance:

  • references/interviewing-best-practices-guide.md - Complete interviewing guide covering preparation, execution, common pitfalls, advanced techniques, ethical considerations
  • references/research-deliverables-guide.md - Report structures, presentation formats, storytelling with research, sharing insights across organization

Quick Reference

Problem: Need to understand user needs and validate product decisions
Solution: Conduct user interviews

Interview Type Selection:
├─ Problem unclear? → Discovery interviews
├─ Have solution idea? → Validation interviews
├─ Product built? → Usability interviews
└─ Exploring broadly? → Generative interviews

Core Techniques:
├─ Mom Test: Past behavior, not future intentions
├─ 5 Whys: Find root cause
├─ JTBD: Understand the job
└─ Laddering: Connect features to emotions

Key Rules:
- Listen 80%, talk 20%
- Ask about past (not future)
- Probe surface answers
- Use silence
- Record everything
- Debrief immediately

Troubleshooting

"Participants give short, unhelpful answers": You're likely asking closed or hypothetical questions. Switch to past-behavior questions: "Tell me about the last time you..." and use silence -- wait 5-10 seconds after they finish before asking the next question.

"I keep getting socially desirable answers": Stop asking about future intent ("Would you use...?"). Apply the Mom Test: ask about what they actually did, not what they'd hypothetically do. Ask for specific examples.

"I don't know how many interviews to run": Start with 5. If you're still hearing new themes after 5, do 3 more. Stop when answers start repeating (saturation). For most discovery work, 8-12 is sufficient.


Related Skills

  • synthesis-frameworks - Synthesizing qualitative research into actionable insights
  • validation-frameworks - Solution validation techniques and testing
  • user-research-techniques - Comprehensive user research methods beyond interviews

平台分布

Codex

33.94%
按下载量换算24

Claude

27.91%
按下载量换算20

Cursor

21.12%
按下载量换算15

Gemini CLI

9.48%
按下载量换算7

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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