Geo Fundamentals
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
A skill your agent uses when extracting first-party expertise from a subject-matter expert before writing content.
Install Expert Interview
$ npx skills add inhouseseo/superseo-skills --skill expert-interview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install inhouseseo/superseo-skills expert-interview --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/expert-interview .claude/skills/expert-interview && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "expert-interview" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/expert-interview into .claude/skills/expert-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-interview", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/inhouseseo/superseo-skills/tree/main/skills/expert-interviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add inhouseseo/superseo-skills --skill expert-interview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install inhouseseo/superseo-skills expert-interview --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/expert-interview .agents/skills/expert-interview && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "expert-interview" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/expert-interview into .agents/skills/expert-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-interview", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add inhouseseo/superseo-skills --skill expert-interview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install inhouseseo/superseo-skills expert-interview --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/expert-interview .cursor/skills/expert-interview && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "expert-interview" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/expert-interview into .cursor/skills/expert-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-interview", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/inhouseseo/superseo-skills.git --path skills/expert-interview--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add inhouseseo/superseo-skills --skill expert-interview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install inhouseseo/superseo-skills expert-interview --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/expert-interview .gemini/skills/expert-interview && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "expert-interview" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/expert-interview into .gemini/skills/expert-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-interview", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install inhouseseo/superseo-skills expert-interviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add inhouseseo/superseo-skills --skill expert-interview -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/expert-interview .github/skills/expert-interview && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "expert-interview" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/expert-interview into .github/skills/expert-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-interview", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add inhouseseo/superseo-skills --skill expert-interview -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install inhouseseo/superseo-skills expert-interview --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/expert-interview .opencode/skills/expert-interview && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "expert-interview" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/expert-interview into .opencode/skills/expert-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-interview", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
expert-interview- GitHub stars
- 352
- Token cost
- ~1.1k tokens
- SKILL.md length
- 606 words
- Files
- 7 (incl. references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when extracting first-party expertise from a subject-matter expert before writing content.
- Works in 4 steps: "What do most people get wrong about… → "Can you give me a specific example — a… → "What surprised you when you actually… → …
- Extracting first-party expertise from a subject-matter expert before writing content
- SKILL.md covers Input, Role, How to Conduct the Interview and Output, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Expert Interview is an agent skill from inhouseseo/superseo-skills. 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.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/eeat-signal-embedding.md`, `references/human-input-framework.md` and `references/information-gain-writing.md`).
It sits in Marketing & SEO. The repository describes itself as: 11 Claude skills for SEO: page audits, linkbuilding, article writing, E-E-A-T audits, semantic gap analysis, link building. Methodology from Koray Tuğberk, Kyle Roof, and Lily…. The licence is Apache-2.0.
When your agent uses it
- Extracting first-party expertise from a subject-matter expert before writing content
Example prompts
- “/expert-interview”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- "What do most people get wrong about [topic]?" — forces a contrarian or non-obvious take
- "Can you give me a specific example — a client, a project, a number?" — extracts first-party data that can't be fabricated
- "What surprised you when you actually did this?" — gets unexpected results and failure stories
- "Who should NOT follow this advice, and why?" — forces nuance through scope limitation
What it can do on your machine
Read from SKILL.md and the folder at commit 9cf22cc. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Expert Interview loads about 1.1k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 606 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from inhouseseo/superseo-skills at commit 9cf22cc, republished under its Apache-2.0 licence (© inhouseseo). 606 words, ~1,132 tokens.
Download SKILL.mdSave it as
.claude/skills/expert-interview/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- expert-interview
- description
- 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.
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)
- "What do most people get wrong about [topic]?" — forces a contrarian or non-obvious take
- "Can you give me a specific example — a client, a project, a number?" — extracts first-party data that can't be fabricated
- "What surprised you when you actually did this?" — gets unexpected results and failure stories
- "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
Show full SKILL.md (240 more words)Show less
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 topicknowledge-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 bywrite-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 towrite-contentfor 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)
© inhouseseo, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (references) in skills/expert-interview of inhouseseo/superseo-skills.
- SKILL.md
- references/eeat-signal-embedding.md
- references/human-input-framework.md
- references/information-gain-writing.md
- references/knowledge-doc-template.md
- references/question-bank-by-topic.md
- references/voice-injection-playbook.md
Open the folder on GitHubat commit 9cf22cc
Compare with similar skills
Expert Interview next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Expert Interview this skillinhouseseo/superseo-skills | 352 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Geo Fundamentalswasp-lang/wasp | 19k | 9 repos | ~861 | Automated safety check: Pass | MIT | |
| Ab Testingcoreyhaines31/marketingskills | 54k | 3 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Hreflang and International SEOAgriciDaniel/claude-seo | 19k | 5 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Referralscoreyhaines31/marketingskills | 54k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| SEO GeoReScienceLab/opc-skills | 1.8k | 4 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Ab Testing
coreyhaines31/marketingskills
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.
Hreflang and International SEO
AgriciDaniel/claude-seo
Audits, validates and generates hreflang tags for multi-language and multi-region sites in HTML, HTTP headers or XML sitemaps, flagging common code and return-tag mistakes.
Referrals
coreyhaines31/marketingskills
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy.
SEO Geo
ReScienceLab/opc-skills
SEO & GEO (Generative Engine Optimization) for websites. An agent skill from ReScienceLab/opc-skills.
Ad Creative
LeoYeAI/openclaw-marketing-skills
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
More from inhouseseo/superseo-skills
All 11 skills in this repoContent Brief
inhouseseo/superseo-skills
A skill your agent uses when planning a new article. An agent skill from inhouseseo/superseo-skills.
Eeat Audit
inhouseseo/superseo-skills
A skill your agent uses when auditing a page for E-E-A-T signals.
Featured Snippet Optimizer
inhouseseo/superseo-skills
A skill your agent uses when you want to win a featured snippet for a keyword you already rank for.
Improve Content
inhouseseo/superseo-skills
A skill your agent uses when rewriting or refreshing an existing page that's underperforming.
Keyword Deep Dive
inhouseseo/superseo-skills
A skill your agent uses when planning to rank for a specific keyword.
Linkbuilding
inhouseseo/superseo-skills
A skill your agent uses when planning link acquisition. An agent skill from inhouseseo/superseo-skills.
Related
Categories
Questions about Expert Interview
What does Expert Interview do?
A skill your agent uses when extracting first-party expertise from a subject-matter expert before writing content. Expert Interview is an agent skill from inhouseseo/superseo-skills. Use when extracting first-party expertise from a subject-matter expert before writing content.
When should I use Expert Interview?
Expert Interview fits situations like: extracting first-party expertise from a subject-matter expert before writing content.
How do I install Expert Interview in Claude Code?
Run `npx skills add inhouseseo/superseo-skills --skill expert-interview -a claude-code`. Or copy the skill folder (skills/expert-interview in inhouseseo/superseo-skills) into .claude/skills/expert-interview in your project. Claude Code loads it when a task matches its description.
How do I install Expert Interview in Codex?
Run `npx skills add inhouseseo/superseo-skills --skill expert-interview -a codex`. Or copy the skill folder (skills/expert-interview in inhouseseo/superseo-skills) into .agents/skills/expert-interview in your project. Codex loads it when a task matches its description.
Can I use Expert Interview in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add inhouseseo/superseo-skills --skill expert-interview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/expert-interview, .gemini/skills/expert-interview, .github/skills/expert-interview and .opencode/skills/expert-interview in your project.
What does Expert Interview need to run?
SKILL.md names no scripts, command-line tools or credentials: Expert Interview is instructions for the agent only.
Does Expert Interview access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Expert Interview safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Expert Interview use?
Expert Interview is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Expert Interview use?
About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
What are the alternatives to Expert Interview?
Skills that share tags, products or a category with Expert Interview: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Expert Interview?
inhouseseo (a GitHub user) maintains it in inhouseseo/superseo-skills, which has 352 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 3, 2026.
Source: inhouseseo/superseo-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.