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interview-bookends采访书挡

Agent Skill

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。

总安装

420

周安装

17

GitHub Stars

50

下载量

132
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

2

许可证

unknown

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-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

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-bookends 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 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)

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

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

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

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

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