interview-me
Structured conversational interview to formalise a research idea or extension into a concrete specification with hypotheses and empirical strategy. This skill should be used when asked to "interview me", "help me think through an idea", "formalise this idea", or "start fresh" on a new research direction.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill interview-me --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Research Interview Conduct a structured interview to help formalise a research idea into a concrete specification. **Input:** `$ARGUMENTS` — a brief topic description or "start fresh" for an open-ended exploration. --- ## How This Works This is a **conversational** skill. Ask questions one at a time, probe deeper based on answers, and build toward a structured research specification. Ask questio
What does the interview-me skill do?
Structured conversational interview to formalise a research idea or extension into a concrete specification with hypotheses and empirical strategy. This skill should be used when asked to "interview me", "help me think through an idea", "formalise this idea", or "start fresh" on a new research direction.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill interview-me --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.