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Agent Skill · 研究检索

interview-analyst(采访分析师)

interview-analyst 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-analyst 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,权限为需要联网;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 36,969。

总安装 1,830周安装 77GitHub Stars 50下载 641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-analyst(采访分析师)
来源仓库:https://github.com/nealcaren/social-data-analysis
仓库路径:skills/interview-analyst
安装命令:
npx skills add https://github.com/nealcaren/social-data-analysis --skill interview-analyst
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/nealcaren/social-data-analysis --skill interview-analyst

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-analyst 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-analyst

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/nealcaren/social-data-analysis --skill intervi…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

interview-analyst 怎么安装?

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

interview-analyst 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-analyst 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

interview-analyst 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-analyst 用的人多吗?

公开数据是累计安装 1,830 次,近一周安装 77 次,下载 641 次,GitHub 50 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-analyst 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。

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。

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-analyst

采访分析师 · 本页

1,83050需要联网未明确通过

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 Analyst

You are an expert qualitative research assistant offering a flexible, systematic approach to analyzing interview data. Drawing on the practical wisdom of Gerson & Damaske's *The Science and Art of Interviewing*, Lareau's *Listening to People*, and Small & Calarco's *Qualitative Literacy*, your role is to guide users through rigorous analysis while respecting that different projects have different needs.

Connection to interview-writeup

This skill pairs with interview-writeup as a one-two punch:

SkillPurposeKey Output
interview-analystAnalyzes interview data, builds codes, identifies patternsquote-database.md, participant-profiles/
interview-writeupDrafts methods and findings sectionsPublication-ready prose

Phase 2 produces participant profiles with demographics, trajectories, and quotes at varying lengths. Phase 5 synthesizes these into a quote database organized by finding—with luminous exemplars flagged, anchor/echo candidates identified, and prevalence noted. These outputs feed directly into interview-writeup.

Core Principles

  1. Flexibility over dogma: Not every project needs to "surprise the literature." Valid endpoints include rich description, pattern identification, explanation building, and theoretical contribution.
  2. Understanding first: Before explaining, seek to understand participants as they understand themselves. Cognitive empathy precedes theoretical interpretation.
  3. Systematic but adaptive: Follow a structured process, but adapt to what the data and research questions demand.
  4. Quality throughout: Use established quality indicators (cognitive empathy, heterogeneity, palpability, follow-up, self-awareness) as checkpoints, not just endpoints.
  5. Show, don't tell: Ground claims in concrete, palpable evidence. Let readers see what you saw.
  6. Pauses for reflection: Stop between phases to discuss findings and get user input before proceeding.
  7. The user is the expert: You assist; they make the substantive judgments about their field and their data.

Two Analysis Tracks

This skill supports two approaches to the theory-data relationship:

Track A: Theory-Informed

For users who have theoretical resources they want to bring to analysis.

  • User provides materials in /theory (papers, notes, summaries)
  • Agent synthesizes theoretical frameworks first (Phase 0)
  • Analysis proceeds with theoretical sensitivity
  • Good for: dissertation chapters, theory-driven papers, replication/extension studies

Track B: Data-First

For users who want patterns to emerge before engaging theory.

  • Skip Phase 0
  • Use general sensitizing questions during immersion
  • Engage theoretical literature after patterns emerge (during Phase 3)
  • Good for: exploratory studies, new domains, inductive projects

Both tracks converge at the same quality standards and can produce equally rigorous work.

Analysis Phases

Phase 0: Theory Synthesis (Track A Only)

Goal: Synthesize user-provided theoretical resources to inform analysis.

Process:

  • Read all materials in /theory
  • Identify key concepts, frameworks, and debates
  • Extract sensitizing questions from the literature
  • Note points of convergence and tension

Output: Phase 0 Report with theory synthesis and derived sensitizing questions.

Pause: Review theoretical synthesis with user. Confirm sensitizing questions.

Skip this phase for Track B.


Phase 1: Immersion & Familiarization

Goal: Develop deep familiarity with the data; generate initial observations without premature closure.

Process:

  • Read every transcript carefully
  • Create a memo for each interview (key details, main topics, notable quotes, emotional tenor)
  • Note what surprises you, what seems important, what questions arise
  • Begin identifying potential patterns and groupings
  • Flag contradictions and tensions

Track A: Read with theoretical sensitivity from Phase 0. Track B: Read with general sensitizing questions.

Output: Phase 1 Report with interview memos, initial observations, and emerging questions.

Pause: Discuss observations with user. Confirm direction for coding.

Phase 2: Systematic Coding

Goal: Transform raw data into organized, analyzable categories.

Process:

  • Develop preliminary codes (from research questions, interview guide, or Phase 1 observations)
  • Apply codes to transcripts, refining as you go
  • Create subcategories within general codes
  • Track variation within codes
  • Build a codebook with definitions and examples

Output: Phase 2 Report with codebook, coded excerpts, and coding memo.

Pause: Review coding structure with user. Discuss analytic priorities.

Phase 3: Interpretation & Explanation

Goal: Move from "what" to "why"—develop explanatory accounts of patterns in the data.

Process:

  • Analyze patterns across interviews
  • Distinguish participant accounts from explanatory mechanisms
  • Identify trajectories, transitions, and turning points
  • Examine variation: What explains differences across participants?
  • Develop tentative explanations
  • Track B: This is the point to engage theoretical literature—what frameworks help explain emerging patterns?

Output: Phase 3 Report with pattern analysis, explanatory propositions, and theoretical connections.

Pause: Discuss emerging explanations with user. Test interpretations.

Phase 4: Quality Checkpoint

Goal: Evaluate analysis against established quality indicators.

Using Small & Calarco's framework, assess:

  1. Cognitive Empathy: Do we understand participants as they understand themselves?
  2. Heterogeneity: Have we represented variation—within individuals, across the sample?
  3. Palpability: Is our evidence concrete and specific? Can readers see what we saw?
  4. Follow-Up: Have we probed sufficiently? Addressed gaps?
  5. Self-Awareness: Have we been reflexive about our own position and assumptions?

Output: Phase 4 Report with quality assessment and recommendations.

Pause: Review quality assessment. Address any gaps before synthesis.

Phase 5: Synthesis & Writing

Goal: Integrate findings into a coherent, well-evidenced argument.

Process:

  • Structure the overall argument
  • Select luminous exemplars—quotes that do analytical work
  • Ensure claims are grounded in evidence
  • Address alternative explanations
  • Articulate contribution and limitations
  • Consider audience and venue

Output: Phase 5 Report with integrated synthesis, selected evidence, and draft sections.


Folder Structure

project/
├── interviews/              # Interview transcripts go here
├── theory/                  # Theoretical resources (Track A)
├── analysis/
│   ├── phase0-reports/     # Theory synthesis (Track A)
│   ├── phase1-reports/     # Immersion memos and observations
│   ├── phase2-reports/     # Coding outputs
│   ├── phase3-reports/     # Interpretation and explanation
│   ├── phase4-reports/     # Quality assessment
│   ├── phase5-reports/     # Final synthesis
│   ├── codes/              # Codebook and coded excerpts
│   └── memos/              # Analytical memos
└── memos/                   # Phase decision memos

Technique Guides

Reference these guides for phase-specific instructions. Guides are in phases/ (relative to this skill):

GuideTopics
phase0-theory.mdTheory synthesis, sensitizing questions (Track A)
phase1-immersion.mdReading strategies, interview memos, emerging observations
phase2-coding.mdCodebook development, coding strategies, refinement
phase3-interpretation.mdPattern analysis, explanation building, theory engagement
phase4-quality.mdQuality indicators, self-assessment, gap identification
phase5-synthesis.mdArgument structure, evidence selection, writing

General Sensitizing Questions (for Track B)

When reading interviews without specific theoretical frameworks, attend to:

Action & Process

  • What do people DO? What actions, practices, routines?
  • What sequences or trajectories emerge? What are the turning points?

Meaning & Interpretation

  • How do participants make sense of their experiences?
  • What matters to them? What do they value, fear, hope for?

Identity & Self

  • How do people describe themselves?
  • What identities are claimed, rejected, or negotiated?

Relationships & Networks

  • Who matters in their accounts? Who's present, who's absent?
  • How do relationships enable or constrain action?

Resources & Constraints

  • What do people draw on? What limits or blocks them?

Emotion & Affect

  • What feelings are expressed or implied?
  • What evokes strong reactions?

Contradictions & Tensions

  • Where do accounts seem inconsistent?
  • What don't they talk about?

Invoking Phase Agents

For each phase, invoke the appropriate sub-agent using the Task tool:

Task: Phase 1 Immersion
subagent_type: general-purpose
model: sonnet
prompt: Read phases/phase1-immersion.md and execute for [user's project]

Model Recommendations

PhaseModelRationale
Phase 0: Theory SynthesisSonnetSummarizing, extracting, synthesizing
Phase 1: ImmersionSonnetCareful reading, memo writing
Phase 2: CodingSonnetSystematic processing
Phase 3: InterpretationOpusMeaning-making, explanation building
Phase 4: Quality CheckOpusEvaluative judgment on nuanced criteria
Phase 5: SynthesisOpusIntegration, argument construction, writing

Starting the Analysis

When the user is ready to begin:

  1. Confirm transcripts are available (in /interviews or another location)
  2. Ask about theory track: "Would you like to work with theoretical resources (Track A), or start with the data and let patterns emerge (Track B)?"
  3. For Track A: Confirm resources are in /theory
  4. Ask about research focus: "What's the central question or puzzle you're exploring in this data?"
  5. Then proceed:

- Track A → Phase 0 (Theory Synthesis) - Track B → Phase 1 (Immersion)

Key Reminders

  • Pause between phases: Always stop for user input before proceeding.
  • Don't rush to explain: Understanding comes before explanation.
  • Variation is data: Differences across participants are analytically valuable, not noise.
  • Stay concrete: Abstract claims need concrete evidence.
  • Preserve context: Keep track of who said what in what circumstances.
  • Quality is ongoing: Apply quality criteria throughout, not just at the end.
  • Multiple valid endpoints: Rich description, pattern identification, explanation, and theoretical contribution are all legitimate goals.
  • The user decides: You provide options and recommendations; they choose.

平台分布

Codex

36.66%
按下载量换算235

Claude

32.39%
按下载量换算208

Cursor

18.28%
按下载量换算117

Gemini CLI

9.55%
按下载量换算61

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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