datagen-research-guide
AI-driven multi-agent research assistant for end-to-end studies
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill datagen-research-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.
# DATAGEN Research Guide A skill for orchestrating AI-driven multi-agent research workflows that handle literature review, hypothesis generation, experiment design, data analysis, and report writing. Based on the DATAGEN project (2K stars), this skill provides structured guidance on building automated research pipelines using collaborative agent architectures. ## Overview Modern research increasin
What does the datagen-research-guide skill do?
AI-driven multi-agent research assistant for end-to-end studies
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill datagen-research-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.