| name | hf-papers |
| description | Browse trending papers, search by keyword, and get paper details from Hugging Face Papers. Use when the user wants to find ML research, asks about recent AI papers, trending models, or mentions Hugging Face Papers. |
| metadata | {"openclaw":{"emoji":"🤗","tags":["huggingface","research","academic","papers","trending"],"requires":{"bins":[],"os":["darwin","linux","win32"]}}} |
hf-papers
Browse, search, and analyze papers from the Hugging Face Papers platform.
Process
- Discover — Use
hf_daily_papers to see what's trending today
- Search — Use
hf_search_papers to find papers on a topic
- Inspect — Use
hf_paper_detail to get full metadata for a specific paper
- Discuss — Use
hf_paper_comments to read community discussion
- Deep read — Use
arxiv_fetch (from arxiv-reader) with the paper's arXiv ID for full text
Tools
hf_daily_papers — Get trending papers. Params: limit (default: 20), sort (upvotes or date)hf_search_papers — Search by keyword. Params: query (required)hf_paper_detail — Get paper metadata. Params: paper_id (required, arXiv ID)hf_paper_comments — Get discussion comments. Params: paper_id (required)
Example:
{ "query": "multimodal reasoning" }
See canonical skill at /skills/hf-papers/ for full tool documentation and parameter details.
