Localized reading guide
huggingface-papersPurpose, usage and source
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.
Source retrieved:
- Source repository
- huggingface/skills
- SKILL.md
skills/huggingface-papers/SKILL.md- Repository stars
- 11,241
- Repository updated
- 2026-10-30
- Categories
- research
- Last collected
License: Apache-2.0
Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.
The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.
What this Skill 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.
How the upstream workflow works
When to Use
User shares a Hugging Face paper page URL (e.g. https://huggingface.co/papers/2602.08025) User shares a Hugging Face markdown paper page URL (e.g. https://huggingface.co/papers/2602.08025.md) User shares an arXiv URL (e.g. https://arxiv.org/abs/2602.08025 or https://arxiv.org/pdf/2602.08025) User mentions a arXiv ID (e.g. 2602.08025)
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.
Parsing the paper ID
It's recommended to parse the paper ID (arXiv ID) from whatever the user provides: This allows you to provide the paper ID into any of the hub API endpoints mentioned below.
Upstream passage · L26 ↗curl -s "https://huggingface.co/papers/{PAPER_ID}.md"Requirements and setup
No short requirements passage was selected from this file. This does not mean the Skill has no dependencies. Check the repository setup instructions and referenced files.
Limits and quality checks
No separate limits passage was selected from this file. This does not mean the Skill is safe for every input or environment. Review the complete source and validate your own result.
Start with a safe trial
- Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
- Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
- Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
- Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.
Read further in the source
Related Skills
Translation and scope
This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.
This introduction refers to the pinned version below; current repository activity and collection time are shown separately.
- Pinned source
- Read the original ↗
- Source retrieved
- Source commit
fabc634a893f62ad5c2039830397efa35fa62715- Source SHA-256
985c2d5c7261aba2b157811cde0c2b30134663694a4ab701280de28f941eb3b2