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Agent Skill · 研究检索

interview-bookends(采访书挡)

interview-bookends 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-bookends 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 58,150。

总安装 420周安装 17GitHub Stars 50下载 132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-bookends(采访书挡)
来源仓库:https://github.com/nealcaren/social-data-analysis
仓库路径:skills/interview-bookends
安装命令:
npx skills add https://github.com/nealcaren/social-data-analysis --skill interview-bookends
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-bookends

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-bookends 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-bookends

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-bookends 怎么安装?

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

interview-bookends 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-bookends 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-bookends 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-bookends 用的人多吗?

公开数据是累计安装 420 次,近一周安装 17 次,下载 132 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-bookends 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-bookends

采访书挡 · 本页

42050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 Bookends

You help sociologists write introductions and conclusions for interview-based research articles. Given the Theory section and Findings section, you guide users through drafting the framing prose that opens and closes the article.

When to Use This Skill

Use this skill when users have:

  • A drafted Theory/Literature Review section
  • A drafted Findings section
  • Need help writing the Introduction and/or Conclusion

This skill assumes the intellectual work is done—the contribution is clear, the findings are established. The task is crafting the framing prose that positions the contribution and delivers on promises.

Connection to Other Skills

SkillPurposeKey Output
interview-analystAnalyzes interview dataCodes, patterns, quote database
interview-writeupDrafts methods and findingsMethods & Findings sections
interview-bookendsDrafts introduction and conclusionComplete framing prose

This skill completes the article writing workflow.

Core Principles (from Genre Analysis)

Based on systematic analysis of 80 sociology interview articles from *Social Problems* and *Social Forces*:

1. Introductions Are Efficient; Conclusions Do Heavy Work

  • Median introduction: 761 words, 6 paragraphs
  • Median conclusion: 1,173 words, 8 paragraphs
  • Ratio: Conclusions are 67% longer than introductions
  • Introductions *subtract* (narrow to the gap); conclusions *expand* (project to significance)

2. Phenomenon-Led Openings Dominate (74%)

  • Most introductions open with empirical phenomena, not questions
  • Question-led openings are rare (1%)—they feel performative
  • Theory-led openings cluster in theory-extension articles (30%)
  • Show the puzzle; don't just assert it exists

3. Parallel Coherence Is Normative (66%)

  • Introductions make promises; conclusions must keep them
  • Escalation (20%) is acceptable—exceeding promises reads as discovery
  • Deflation (6%) is penalized—overpromising damages credibility
  • Callbacks to introduction are universal (100%)

4. Match Framing to Contribution Type

Five cluster styles require different approaches:

ClusterIntro SignatureConclusion Signature
Gap-FillerShort, phenomenon-led, data earlyLong (2x), summary + implications
Theory-ExtensionTheory-led (30%), framework earlyFramework affirmation
Concept-BuildingLong, motivate conceptual needBalanced length, concept consolidation
SynthesisMultiple traditions namedIntegration claims, no deflation
Problem-DrivenStakes-led (25%), policy focusEscalation to implications

Workflow Phases

Phase 0: Intake & Assessment

Goal: Review inputs, identify cluster, confirm scope.

  • Read the Theory section to understand positioning and contribution type
  • Read the Findings section to understand what was discovered
  • Identify which cluster the article inhabits
  • Confirm whether user needs introduction, conclusion, or both

Guide: phases/phase0-intake.md

Pause: Confirm cluster identification and scope before drafting.

Phase 1: Introduction Drafting

Goal: Write an introduction that opens the circuit effectively.

  • Choose opening move type (phenomenon, stakes, case, theory, question)
  • Establish stakes and context
  • Identify the gap/puzzle
  • Preview data and argument
  • Include roadmap (optional but recommended for complex articles)

Guides:

  • phases/phase1-introduction.md (main workflow)
  • techniques/opening-moves.md (opening strategies)
  • clusters/ (cluster-specific guidance)
Pause: Review introduction draft for coherence with theory section.

Phase 2: Conclusion Drafting

Goal: Write a conclusion that closes the circuit and projects significance.

  • Open with restatement or summary (not the same words as intro)
  • Recap key findings efficiently
  • State contribution claims
  • Integrate with prior literature
  • Acknowledge limitations
  • Project implications and future directions
  • Craft callback to introduction
  • End with resonant closing

Guides:

  • phases/phase2-conclusion.md (main workflow)
  • techniques/conclusion-moves.md (structural elements)
  • techniques/callbacks.md (closing the circuit)
Pause: Review conclusion for coherence with introduction.

Phase 3: Coherence Check

Goal: Ensure introduction and conclusion work together.

  • Verify vocabulary echoes (key terms appear in both)
  • Check promise-delivery alignment
  • Assess coherence type (Parallel, Escalators, Bookends)
  • Confirm callback is present and effective
  • Calibrate ambition across sections

Guide: phases/phase3-coherence.md


Cluster Profiles

Reference these guides for cluster-specific writing:

GuideCluster
clusters/gap-filler.mdGap-Filler Minimalist (38.8%)
clusters/theory-extension.mdTheory-Extension Framework Applier (22.5%)
clusters/concept-building.mdConcept-Building Architect (15.0%)
clusters/synthesis.mdSynthesis Integrator (17.5%)
clusters/problem-driven.mdProblem-Driven Pragmatist (15.0%)

Technique Guides

GuidePurpose
techniques/opening-moves.mdFive opening move types with examples
techniques/conclusion-moves.mdStructural elements of conclusions
techniques/callbacks.mdClosing the circuit effectively
techniques/coherence-types.mdParallel, Escalators, Bookends, Deflators
techniques/signature-phrases.mdCommon phrases for intros and conclusions

Key Statistics (Benchmarks)

Introduction Benchmarks

FeatureTypical Value
Word count600-950 words
Paragraphs4-8
Opening movePhenomenon-led (74%)
Data mentionMiddle of section
RoadmapPresent in 40%

Conclusion Benchmarks

FeatureTypical Value
Word count900-1,450 words
Paragraphs6-10
Opening moveRestatement (71%)
LimitationsPresent in 69%
Future directionsPresent in 76%
CallbackRequired (100%)

Coherence Benchmarks

TypeFrequencyMeaning
Parallel66%Deliver what you promised
Escalators20%Exceed your promises
Bookends8%Strong mirror structure
Deflators6%Fall short (avoid)

Prohibited Moves

In Introductions

  • Opening with a direct question (unless theory-extension)
  • Claiming the literature "has overlooked" without justification
  • Promising more than the findings deliver
  • Lengthy method description (save for Methods section)
  • Excessive roadmapping (structure should feel natural)

In Conclusions

  • Introducing new findings not in Findings section
  • Forgetting to callback to introduction
  • Over-hedging empirical claims
  • Skipping limitations entirely (looks defensive)
  • Ending with limitations (save strong closing for last)
  • Repeating introduction verbatim (callback ≠ copy)

Output Expectations

Provide the user with:

  • A drafted Introduction matching their cluster style
  • A drafted Conclusion with all standard elements
  • A coherence memo assessing promise-delivery alignment
  • Revision suggestions if coherence issues detected

Invoking Phase Agents

Use the Task tool for each phase:

Task: Phase 1 Introduction Drafting
subagent_type: general-purpose
model: opus
prompt: Read phases/phase1-introduction.md and the relevant cluster guide, then draft the introduction for the user's article. The theory section and findings are provided. Match the opening move and length to cluster conventions.

Model recommendations:

  • Phase 0 (intake): Sonnet
  • Phase 1 (introduction): Opus (requires narrative craft)
  • Phase 2 (conclusion): Opus (requires integration)
  • Phase 3 (coherence): Opus (requires evaluative judgment)

平台分布

Codex

34.27%
按下载量换算45

Claude

28.93%
按下载量换算38

Cursor

18.58%
按下载量换算25

Gemini CLI

9.2%
按下载量换算12

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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