Interview Writing logo

Interview Writing

Community
JimLiu
interview-writing

将播客/视频访谈的分析素材转化为访谈实录整理文章。按访谈原始 顺序组织,保留问答结构的对话感,补充背景解读,让读者通过文字快速了解 访谈全貌。当用户已完成访谈内容分析(有素材包和提纲),需要撰写正式文章 时使用此 skill。

Overview

PublisherJimLiu
RepositoryIllustrated-Agent-Skills
Skill nameinterview-writing
Stars
714
Forks
99
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by JimLiu on GitHub. Read the source before you install it.

Installation

Install the Interview Writing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/JimLiu/Illustrated-Agent-Skills/tree/main/skills/interview-writing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JimLiu/Illustrated-Agent-Skills.git /tmp/Illustrated-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/Illustrated-Agent-Skills/skills/interview-writing .claude/skills/interview-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Interview Writing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Interview Writing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Interview Writing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Interview Writing AI skill do?

将播客/视频访谈的分析素材转化为访谈实录整理文章。按访谈原始 顺序组织,保留问答结构的对话感,补充背景解读,让读者通过文字快速了解 访谈全貌。当用户已完成访谈内容分析(有素材包和提纲),需要撰写正式文章 时使用此 skill。

Why use Interview Writing on TypingMind?

Because you install it once and use it with any model. Interview Writing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Interview Writing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JimLiu/Illustrated-Agent-Skills/tree/main/skills/interview-writing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Interview Writing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Interview Writing?

As many as you like. As long as a model supports skills, you can use Interview Writing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Interview Writing AI skill free?

It is published on GitHub by JimLiu. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇