dataset-finder-guide
Search and download research datasets from Kaggle, HuggingFace, and repos
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill dataset-finder-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.
# Dataset Finder Guide Search, evaluate, and download research datasets from major repositories including Kaggle, Hugging Face, Google Dataset Search, Zenodo, UCI Machine Learning Repository, and domain-specific archives. This skill helps researchers locate the right data for their experiments efficiently. ## Overview Finding suitable datasets is often one of the most time-consuming phases of empi
What does the dataset-finder-guide skill do?
Search and download research datasets from Kaggle, HuggingFace, and repos
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill dataset-finder-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.