deep-searcher-guide
Open deep research alternative for private data with vector search
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-searcher-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.
# Deep Searcher Guide ## Overview Deep Searcher is an open-source deep research tool developed by Zilliz with over 8,000 GitHub stars, designed to be an open alternative to proprietary deep research systems like OpenAI's Deep Research and Gemini Deep Research. What distinguishes Deep Searcher is its focus on private data -- it enables researchers to conduct deep, iterative research over their own
What does the deep-searcher-guide skill do?
Open deep research alternative for private data with vector search
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-searcher-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.