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Interview Analysis

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JimLiu
interview-analysis

分析播客/视频访谈内容,提取高价值信息点、金句、待验证背景, 并生成详细写作提纲。当用户提供访谈转录稿或整理稿,需要进行内容分析、 素材提取、或准备写作提纲时使用此 skill。

Overview

PublisherJimLiu
RepositoryIllustrated-Agent-Skills
Skill nameinterview-analysis
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 Analysis 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-analysis
  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-analysis .claude/skills/interview-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Interview Analysis 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 Analysis 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 Analysis 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.

访谈内容分析

将播客/视频访谈转化为结构化的写作素材包和提纲。

分析框架

1. 核心信息点提取

按主题分类,列出所有有价值的信息点,使用标签标注类型:

  • 【独家/仅此人】 首次披露的内部信息、未公开细节,或只有该受访者的 身份、经历、资源才能给出的信息(不一定是首次披露,但普通人无从得知)
  • 【反常识】 与公众认知不同的观点或事实
  • 【具体数字】 可量化的细节(时间、金额、比例等)
  • 【预测】 关于未来的判断或时间线

对每个关键论点,额外标注:

  • 新颖度:已知常识 / 旧观点新角度 / 全新观点
  • 可信度:有数据或案例支撑 / 纯个人推测 / 有明显利益相关性
  • 逻辑强度:论证链条是否完整,薄弱环节在哪里

2. 金句收集

提取可直接引用的原话,筛选标准:

  • 有画面感或情绪张力
  • 能独立传播(脱离上下文仍有冲击力)
  • 体现受访者独特视角或性格

每条金句标注:原话内容、所属主题、使用建议(适合做标题/开头/论据等)

3. 叙事素材提取

除金句外,单独提取以下写作素材:

  • 类比和比喻:受访者用来解释复杂概念的比方,标注原文位置和可用于 解释什么概念
  • 故事和案例:受访者讲述的亲身经历、决策内幕、具体场景,标注叙事 完整度(完整故事 / 片段 / 仅提及)
  • 情绪高点:受访者明显兴奋、激动、严肃或犹豫的段落,标注情绪类型 和触发话题

4. 对话动态分析

分析访谈的对话结构,而非仅提取嘉宾观点:

  • 关键追问:主持人的哪些追问让嘉宾停顿、改口、深入展开或给出意外 回答?摘录问题原文
  • 回避与转移:嘉宾对哪些问题明显回避、模糊处理或转移话题?标注 被回避的问题和可能原因
  • 对话转折点:话题突然深入或方向变化的时刻(往往是最有价值的信息 出现的地方)
  • 互动质量:主持人是在引导深入思考,还是仅在铺陈已知信息?

5. 待补充背景

列出需要搜索验证或补充的信息:

  • 受访者提到的事件/数据的准确性
  • 可交叉验证的相关信源
  • 与业内其他人判断不同的观点(标注分歧点)

6. 值得深挖的点

指出访谈中点到为止但值得追问的地方:

  • 判断依据缺失:受访者下了结论但没解释为什么
  • 潜在推论:这个观点如果成立,意味着什么
  • 言外之意:有什么没说出口但可以推断的信息
  • 矛盾或存疑:与公开信息或常识冲突的地方

7. 访谈实录提纲

按访谈原始章节顺序生成写作提纲。每个章节包含:

  • 章节标题:概括该段讨论的核心话题
  • 采访者提问:保留引出该话题的关键问题原文
  • 回复要点:被采访者在该话题下的核心观点(3-5 个要点)
  • 可用金句:该章节中可直接引用的原话
  • 背景补充标记:标注哪些术语、事件需要添加编者注
    • 标注格式:[需补充: XXX的背景]
章节合并与拆分建议
  • 某个话题讨论过于零散(多次跳回),建议合并到一个章节
  • 某个话题讨论过长(超过访谈时长 20%),建议拆分为子章节

输出要求

  • 宁可过度提取,不要遗漏有价值的信息
  • 判断和事实分开标注("受访者认为..."vs"数据显示...")
  • 如有明显矛盾或存疑之处,明确指出
  • 分析完成后询问用户:提纲是否需要调整?是否需要补充搜索背景资料?

Frequently asked questions

What does the Interview Analysis AI skill do?

分析播客/视频访谈内容,提取高价值信息点、金句、待验证背景, 并生成详细写作提纲。当用户提供访谈转录稿或整理稿,需要进行内容分析、 素材提取、或准备写作提纲时使用此 skill。

Why use Interview Analysis on TypingMind?

Because you install it once and use it with any model. Interview Analysis 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 Analysis in TypingMind?

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

Which AI models can use Interview Analysis?

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 Analysis?

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

Is the Interview Analysis 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.

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