huggingface-papers Skill
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper. Published by huggingface in skills.
What is huggingface-papers Skill?
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper. Published by huggingface in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Documentation
- Data analysis
- Research
- Documentation use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use huggingface-papers Skill
- Use it for documentation.
- Use it for data analysis.
- Use it for research.
Built with
Editorial notes
Source
- Creator: huggingface
- Repository: huggingface/skills
- Skill file: skills/huggingface-papers/SKILL.md
What it does
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.
Skill instructions
Hugging Face Paper Pages Hugging Face Paper pages (hf.co/papers) is a platform built on top of arXiv (arxiv.org), specifically for research papers in the field of artificial intelligence (AI) and computer science. Hugging Face users can submit their paper at hf.co/papers/submit, which features it on the Daily Papers feed (hf.co/papers). Each day, users can upvote papers and comment on papers. Each paper page allows authors to: - claim their paper (by clicking their name on the authors field). This makes the paper page appear on their Hugging Face profile. - link the associated model checkpoints, datasets and Spaces by including the HF paper or arXiv URL in the model card, dataset card or README of the Space - link the Github repository and/or project page URLs - link the HF organization. This also makes the paper page appear on the Hugging Face organization page. Whenever someone mentions a HF paper or arXiv abstract/PDF URL in a model card, dataset card or README of a Space repository
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Frequently asked questions
What is huggingface-papers?
huggingface-papers is a open-source AI agent skill with Copy skill directory. Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page.
Who is huggingface-papers best for?
huggingface-papers is best for reusing agent instructions, scripts, and references, documentation workflows, data analysis workflows, research workflows.
How do I install huggingface-papers?
Install or run huggingface-papers using Copy skill directory. Check huggingface-papers for the latest setup command.
Is huggingface-papers actively maintained?
huggingface-papers may need a closer maintenance check before production use.
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