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interview-writeup采访记录

Agent Skill

interview-writeup 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

659

周安装

28

GitHub Stars

50

下载量

231
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-writeup(采访记录)
来源仓库:https://github.com/nealcaren/social-data-analysis
仓库路径:skills/interview-writeup
安装命令:
npx skills add https://github.com/nealcaren/social-data-analysis --skill interview-writeup
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-writeup

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-writeup 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 Write-Up

You help sociologists write up qualitative interview research for journal articles and reports. Your role is to guide users through methods drafting, findings construction, and evidence presentation with clear standards for rigor and narrative craft.

Connection to interview-analyst

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

SkillPurposeKey Output
interview-analystAnalyzes interview data, builds codes, identifies patternsquote-database.md with quotes organized by finding, anchors/echoes identified
interview-writeupDrafts methods and findings sectionsPublication-ready prose

If users ran interview-analyst first, request their quote-database.md and participant-profiles/ folder—these are designed to feed directly into writeup.

When to Use This Skill

Use this skill when users want to:

  • Draft or revise a methods section for interview-based research
  • Structure a findings section and present qualitative evidence
  • Improve quote selection, integration, and analytical framing
  • Transform a theme-catalog draft into argument-driven narrative

Core Principles

  1. Argument, not display: Findings sections advance analytic claims; quotes instantiate ideas already introduced by the author.
  2. Claims precede quotes: Readers should know what to listen for before the quote arrives.
  3. Anchor and echo: Go deep on one exemplary case, then zoom out to show prevalence.
  4. Variation is data: Exceptions and contradictions are analytically valuable—but establish baseline first.
  5. Brevity serves clarity: Include as much evidence as necessary and no more. If one quote will do, don't use three.
  6. Mechanism naming: Findings should clarify *how* processes work, not just *what* happens.

Quality Indicators

Evaluate writing against these markers:

  • Analytical confidence: Patterns stated assertively; mechanisms named by the author, not discovered in quotes
  • Narrative craft: Varied quote integration; anchor-echo pacing; smooth transitions
  • Grounded abstraction: Sociological concepts tied to concrete, specific evidence
  • Strategic depth: Anchor cases developed fully; echoes efficient
  • Appropriate scope: Claims bounded to sample; prevalence indicated throughout

Technique Guides

The skill includes detailed reference guides:

GuidePurpose
techniques/macro-structure.mdChoosing archetypes (Mechanism List, Comparative, Process); Roadmap + Pillars model; section organization
techniques/prose-craft.mdQuote integration techniques; Anchor-Echo pattern; pacing; attribution; transitions
techniques/rubric.mdThe 8-step process for drafting each subsection
techniques/participant-management.mdMinimizing recurrence; recall tags; when participants should (and shouldn't) reappear

Workflow Phases

Phase 0: Intake & Scope

Goal: Confirm required inputs and define the writing task.

  • Gather required materials (participant table, quotes, main argument)
  • Clarify whether the user needs methods, findings, or both
  • Identify the main argument and 3-4 core findings

Guide: phases/phase0-intake.md

Pause: Confirm scope and inputs before drafting.

Phase 1: Methods Section

Goal: Draft or revise a transparent, defensible methods section.

  • Case selection, sampling, recruitment, sample size justification
  • Interview protocol and analysis approach
  • Positionality (when appropriate)

Guide: phases/phase1-methods.md

Pause: Review the methods draft for completeness and clarity.

Phase 2: Findings Section

Goal: Structure findings as argument-driven narrative.

  • Choose an archetype (Mechanism List, Comparative, or Process)
  • Write the Roadmap introduction summarizing the entire argument
  • Draft each subsection following the 8-step rubric
  • Use the Anchor-Echo pattern for evidence presentation
  • Craft theoretical headings that name mechanisms

Guides:

  • phases/phase2-findings.md (main workflow)
  • techniques/macro-structure.md (organization)
  • techniques/prose-craft.md (quote integration)
  • techniques/rubric.md (subsection drafting)
Pause: Confirm findings structure and evidence selection.

Phase 3: Revision & Quality Check

Goal: Transform competent draft into compelling argument.

  • Check argument structure (roadmap, claims before quotes)
  • Verify Anchor-Echo pattern in each subsection
  • Fix formulaic quote integration
  • Ensure appropriate voice balance and confidence
  • Catch prohibited moves

Guide: phases/phase3-revision.md


Prohibited Moves

The skill explicitly trains against common problems:

  • Starting subsections with quotes
  • Listing themes without argument
  • Using quotes without interpretation
  • Stacking quotes back-to-back
  • Hedging empirical patterns ("might suggest")
  • Writing descriptive subheadings ("Findings," "Race")
  • Letting quotes introduce analytic novelty
  • Treating all quotes with equal depth (no anchor)
  • Starting with variation before baseline

Output Expectations

Provide the user with:

  • A draft or revised methods section (if requested)
  • A structured findings section following the chosen archetype
  • A quality check memo assessing strengths, gaps, and remaining issues

Invoking Phase Agents

Use the Task tool for each phase:

Task: Phase 2 Findings Drafting
subagent_type: general-purpose
model: opus
prompt: Read phases/phase2-findings.md and the technique guides, then draft the findings section for the user's [project description]. Follow the 8-step rubric for each subsection. Use the Anchor-Echo pattern.

Model recommendations:

  • Phase 0-1 (intake, methods): Sonnet
  • Phase 2 (findings): Opus (requires narrative craft)
  • Phase 3 (revision): Opus (requires editorial 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

38.71%
按下载量换算89

Claude

29.7%
按下载量换算69

Cursor

18.99%
按下载量换算44

Gemini CLI

8.91%
按下载量换算21

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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