research-town-guide
Simulate human research communities with multi-agent AI collaboration
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-town-guide --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 Town Guide Simulate human research communities using multi-agent AI systems. Research Town creates virtual research environments where AI agents take on the roles of researchers, reviewers, editors, and collaborators to generate, critique, refine, and peer-review research ideas through structured multi-agent interaction. ## Overview Research Town is an open-source framework for simulati
What does the research-town-guide skill do?
Simulate human research communities with multi-agent AI collaboration
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-town-guide --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.