tongyi-deep-research-guide
Open-source deep research agent by Alibaba for scholarly research
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill tongyi-deep-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.
# Tongyi Deep Research Guide ## Overview Tongyi DeepResearch is an open-source deep research agent developed by Alibaba's NLP team, with over 18,000 stars on GitHub. It implements an agentic research pipeline that iteratively searches, reads, reasons, and synthesizes information to produce comprehensive research reports. The system is designed to handle complex, multi-faceted research questions th
What does the tongyi-deep-research-guide skill do?
Open-source deep research agent by Alibaba for scholarly research
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill tongyi-deep-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.