huggingface-api
Search and discover ML models, datasets, and Spaces on Hugging Face
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill huggingface-api --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.
# Hugging Face Hub API ## Overview The Hugging Face Hub is the largest open-source ML ecosystem, hosting over 1 million models, 200,000+ datasets, and 400,000+ Spaces (demo apps). The Hub API at `https://huggingface.co/api` provides programmatic access to search, discover, and retrieve metadata for all public resources without authentication. For academic researchers, the Hub API enables systemati
What does the huggingface-api skill do?
Search and discover ML models, datasets, and Spaces on Hugging Face
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill huggingface-api --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.