expert-interview

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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.

AI & Automation 336 stars 41 forks Updated 3 weeks ago Apache-2.0

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Skill Content

# 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 p...

Details

Author
inhouseseo
Repository
inhouseseo/superseo-skills
Created
5 months ago
Last Updated
3 weeks ago
Language
N/A
License
Apache-2.0

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