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Skills/Documentation
jimliu avatar

Interview Writing

jimliu/illustrated-agent-skills

You've done the interview analysis and have your outline ready. This skill takes those materials and writes a structured Chinese-language article that preserves the original Q&A flow. It's positioned as a "structured text version" of the podcast or video, not a transcript or summary. The skill enforces specific rules: rewrite English dialogue in Chinese (don't just translate literally), add brief editor's notes for context non-tech readers might miss, keep concrete details like numbers and timelines intact, and maintain the conversational feel without reorganizing the logic. It explicitly depends on a separate writing-style skill for baseline tone rules. Useful if you're publishing interview content for Chinese readers who won't watch the original video.

GitHub stars
375
last updated
Jun 3, 2026
View on GitHubSave

Install

$ npx -y skills add jimliu/illustrated-agent-skills --skill interview-writing --agent claude-code

Installs into .claude/skills of the current project.

Files

访谈实录写作

将分析素材转化为忠实、完整、有背景解读的访谈实录整理文章。

前置依赖

写作前必读 writing-style 技能,遵循其中的禁止 AI 味规则和输出格式。

以下补充访谈实录写作的特有要求。与 writing-style 冲突时,以本技能为准。

文章定位

访谈实录整理是原始访谈的结构化文字版,让读者不看视频/不听播客, 仅通过阅读就能获得访谈的全部信息价值。

  • ≠ 逐字转录(去除口语冗余,提炼要点)
  • ≠ 评论文章(不重组逻辑,不大段介入分析)
  • ≠ 摘要(不压缩,保留具体细节和论证过程)

核心原则:按原始顺序,问什么写什么,忠实但精炼。

语言处理原则

目标读者是中文用户,英文不一定好。所有内容必须以中文为主体。

对话内容的中文重写

访谈中的英文对话必须用中文重写,而非保留英文原文。

  • 忠实传达原意,但用自然流畅的中文表达
  • 去除口语冗余,保留实质内容
  • 英文俚语和口语不要直译,找中文等价表达

金句的双语呈现

精选的金句采用中文翻译在前、英文原文在后的双语格式。 筛选标准:有画面感、能独立传播、体现独特视角。每个章节 1-2 条足够。

专有名词处理

不常用的专有名词在首次出现时必须解释。 判断标准:一个不在科技行业工作的聪明读者,看到这个词会不会卡住?

文章结构

一、开头

三件事:受访者是谁(核心身份 + 为什么值得听)、聊了什么(3-5 个核心 话题)、访谈来源(节目名称、日期、原始链接)。

二、正文:逐章节问答

按访谈讨论顺序划分章节,每个章节对应一个讨论话题。

让回复"好懂"的三个手法
  1. 展开论证逻辑链:受访者脑中的推理过程,替读者拆成可跟随的步骤
  2. 拆解抽象概念:当受访者一口气抛出多个关键词,逐个拆开解释
  3. 补充具体场景让观点落地:当受访者说了抽象判断,补充读者能想象的场景
背景解读(编者注)

当讨论内容涉及读者可能不熟悉的信息时,补充简要解读。 原则:简洁,一两句话解决,不喧宾夺主。

消除语境困惑

中文读者看不到原始视频,缺少画面和语境。注意识别并消除可能让读者困惑 的人物关系、访谈机制、文化背景等。

三、小标题

小标题 = 该章节讨论了什么 + 核心结论是什么。

  • ❌ "关于竞争" → ✅ "Google 的技术被别人先商业化了"
  • ❌ "AI 与能源" → ✅ "330,000 块芯片需要一座核电站的电力"

四、结尾

归纳核心观点,指出值得关注的信号,附上原始链接。

写作原则

具体细节保护

数字、时间线、技术名称、公司名称不可在整理时省略。

  • ❌ "大量芯片需要大量电力"
  • ✅ "330,000 块 GB300 芯片需要发电端提供整整 1GW 的电力"

事实与观点区分

  • 受访者的个人判断:用"XX 认为""XX 预测"标注
  • 可验证事实:用陈述句表达

对话感的保持

保留让嘉宾停顿、改口、深入展开的关键追问。观点交锋、意见分歧的段落 完整呈现。

整理的边界

实录整理允许:

  • 去除口语冗余
  • 调整语序使表达更流畅
  • 合并同一话题的分散讨论
  • 补充背景解读

实录整理不做:

  • 重组论证逻辑
  • 大段作者分析或评论
  • 替受访者补充他没说的论据
  • 美化或弱化受访者的表态
SKILL.md on GitHub

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Details

Repository
github.com/jimliu/illustrated-agent-skills
Categories
Documentation, AI & Agent Building
First seen
Jun 11, 2026

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