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flakey-caster542flakey-caster542/superseo-skills/skills/expert-interview/SKILL.md

expert-interview

Skill1 starsChanged 7 months agoApache-2.0View on GitHub

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.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask 2-4 questions, one at a time.

    line 22
  2. Distinctive:

    Ask one question at a time.

    line 44
  3. Distinctive:

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

    line 53

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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)

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