local-deep-research-guide
Deep research agent searching 10+ sources with local or cloud LLMs
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill local-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.
# Local Deep Research Guide ## Overview Local Deep Research is an open-source deep research tool with over 4,000 GitHub stars that conducts comprehensive multi-source research using either local LLMs (via Ollama, LM Studio, or vLLM) or cloud-based models. It searches across 10+ academic and web sources simultaneously, synthesizes the findings, and produces well-cited research reports. The project
What does the local-deep-research-guide skill do?
Deep research agent searching 10+ sources with local or cloud LLMs
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill local-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.