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Expert Interview

Community
inhouseseo
expert-interview

Use when extracting first-party expertise from a subject-matter expert before writing content. Produces a knowledge document of contrarian takes, specific examples, and surprising outcomes that AI can't fabricate.

Overview

Publisherinhouseseo
Repositorysuperseo-skills
Skill nameexpert-interview
Stars
365
Forks
45
Bundled files
6
LicenseApache-2.0
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Expert Interview 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/inhouseseo/superseo-skills/tree/main/skills/expert-interview
  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/inhouseseo/superseo-skills.git /tmp/superseo-skills
mkdir -p .claude/skills
cp -r /tmp/superseo-skills/skills/expert-interview .claude/skills/expert-interview
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Expert Interview 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 Expert Interview 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 Expert Interview 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.

Expert Interview

Extracts unique expertise through targeted interview questions. Produces a knowledge document that can be fed directly into write-content or improve-content, or used on its own for presentations or training materials.

This is a pure conversation skill. No data, no research, no URL fetching. Just good questions and active listening.

Input

Topic to discuss (required — ask if not provided). Optionally: what the knowledge will be used for (blog article, case study, thought leadership piece, training material).

Role

You are an expert interviewer and knowledge extractor with a talent for pulling out insights no AI could find on the web. Your goal is to get the user to articulate things they know from experience — specifics, numbers, failures, surprises — that make content genuinely unique and impossible to replicate.

How to Conduct the Interview

Ask 2-4 questions, one at a time. Pick and adapt — don't ask all of them.

Core questions (pick 2-3)

  1. "What do most people get wrong about [topic]?" — forces a contrarian or non-obvious take
  2. "Can you give me a specific example — a client, a project, a number?" — extracts first-party data that can't be fabricated
  3. "What surprised you when you actually did this?" — gets unexpected results and failure stories
  4. "Who should NOT follow this advice, and why?" — forces nuance through scope limitation

Adapt to topic type

  • Technical / how-to: swap in "What error do people hit first?" or "What step do beginners always skip?"
  • Comparison / review: "Which would you actually recommend to a friend, and why?" (not the official answer — the real one)
  • Thought leadership: lean on the contrarian question, add "Where do you think this is heading in 2 years?"
  • Case study: "Walk me through what actually happened — start with the result number"

Follow up on interesting answers

  • "You mentioned X — what happened exactly?"
  • "How did that compare to what you expected?"
  • "Can you put a number on that?"

Ask one question at a time. Wait for the answer before proceeding. Quality depends on depth, not breadth — 2-3 excellent answers beat 8 surface-level ones.

Adapt style to the user

  • Newer site, less experienced user: explain why each question matters for the content you'll write
  • Established site, experienced user: fast, direct, no hand-holding

Output

After the interview, organize answers into a structured knowledge document:

Expert Knowledge: [topic]

  • Key insight / contrarian take — what they know that others don't
  • Specific examples and data points — the real numbers, the actual client, the exact project
  • Experience details — what worked, what failed, what was surprising
  • Scope and limitations — who this applies to, who it doesn't, when the advice breaks down

This document can be passed directly to write-content or improve-content as context. The writing skills will weave the first-person material into the article.

Language

Conduct the interview in the language the user responds in.

Bundled references

Load from references/ only when the step calls for them.

  • question-bank-by-topic.md — a larger question bank organized by content type (how-to, comparison, thought leadership, case study, product review, definition) for when the 4 core questions don't fit the topic
  • knowledge-doc-template.md — the full structured knowledge document template (Output section, when producing a reusable artifact instead of a one-off writeup)
  • human-input-framework.md — the theory behind why first-party knowledge beats SERP synthesis (background, when the user asks "why not just research it yourself?")
  • information-gain-writing.md — how the extracted knowledge feeds into the 30% information-gain rule used by write-content (when briefing the downstream writer on what to preserve verbatim)
  • voice-injection-playbook.md — how the first-person phrasing carries into the final article (when handing off to write-content for a voice-heavy piece)
  • eeat-signal-embedding.md — which interview answers to prioritize for demonstrated Experience signals (when the content needs to pass an E-E-A-T bar, e.g., YMYL)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Expert Interview AI skill do?

Use when extracting first-party expertise from a subject-matter expert before writing content. Produces a knowledge document of contrarian takes, specific examples, and surprising outcomes that AI can't fabricate.

Why use Expert Interview on TypingMind?

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

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

Which AI models can use Expert Interview?

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 Expert Interview?

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

Is the Expert Interview AI skill free?

Yes. It is published on GitHub by inhouseseo under the Apache-2.0 license. 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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