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hf-daily-papers

Fetch and search Hugging Face AI research papers with metadata and summaries.

1|Updated Mar 24, 2026
Search Tags:#research#metadata#triage#semantic-search#arxiv#papers#hugging-face
One-click install
npx skills add https://github.com/EternisAI/agent-sandbox --skill hf-daily-papers
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hf-daily-papers
Source: https://github.com/EternisAI/agent-sandbox/tree/main/skills/hf-daily-papers
Command: npx skills add https://github.com/EternisAI/agent-sandbox --skill hf-daily-papers

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Curate and retrieve AI research papers from Hugging Face quickly, surfacing today's daily feed, full paper metadata, and semantic search across the HF corpus to help users answer questions about trends or specific topics.

Core Features & Use Cases

  • Daily feed: fetch today's curated papers with upvotes and AI-generated summaries for quick triage.
  • Detailed view: retrieve full metadata for any HF-indexed paper by arXiv ID, including upvotes, keywords, and summaries.
  • Semantic search: perform topic-based semantic search across the HF-indexed papers to discover relevant work.

Quick Start

Ask the assistant to fetch today's daily papers or search the HF corpus by topic.

Frequently Asked Questions about hf-daily-papers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find today's trending AI research papers on Hugging Face?▼

Fetch today's curated Hugging Face papers to get a daily feed of trending AI research, complete with upvotes, keywords, and AI-generated summaries for quick triage of new publications.

Can I search the Hugging Face papers corpus by a specific ML topic?▼

Yes, semantic search across the Hugging Face papers corpus supports topic-based discovery, allowing you to query specific ML or AI research subjects and retrieve relevant papers instantly.

How do I get full metadata for an AI paper indexed on Hugging Face?▼

Retrieve full paper metadata by providing the arXiv ID, which returns upvotes, keywords, and AI-generated summaries for any Hugging Face indexed AI research paper.

What is the best way to triage new machine learning research papers daily?▼

Triage new machine learning research papers by fetching the daily Hugging Face feed, leveraging AI-generated summaries and upvote counts to quickly identify significant AI research trends.

Does this semantic search work for analyzing AI research trends across the arxiv corpus?▼

Yes, the semantic search supports trend analysis across the Hugging Face indexed arxiv corpus, enabling you to discover topic-based ML research patterns and track AI publication momentum.

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