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swarm-ai-research
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Paper Pick

Select the top paper from Hugging Face Papers based on topic or trending signals.

Updated Jun 3, 2026
Search Tags:#research#recommendation#summaries#huggingface#paper#papers-api
One-click install
npx skills add https://github.com/swarm-ai-research/aeon --skill paper-pick-swarm-ai-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Paper Pick
Source: https://github.com/swarm-ai-research/aeon/tree/main/skills/paper-pick
Command: npx skills add https://github.com/swarm-ai-research/aeon --skill paper-pick-swarm-ai-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill identifies the single most valuable paper to read today from Hugging Face Papers, helping researchers prioritize high-impact work and avoid information overload.

Core Features & Use Cases

  • Topic-driven discovery: searches for papers by a given topic or surfaces today's trending entries when no topic is provided.
  • Quality signals: evaluates novelty, relevance, and community signals (upvotes) to select the best paper.
  • Contextual logging: logs the chosen paper to memory/logs to prevent repeated recommendations and support progress tracking.

Quick Start

Search Hugging Face Papers for today’s papers (or the provided topic) and return the single best paper with title, abstract, authors, and links.

Frequently Asked Questions about Paper Pick

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

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

To find trending research papers on Hugging Face, this Skill browses the daily Hugging Face Papers API, evaluates community signals and novelty, and returns the single most worth-reading paper with its title, abstract, and authors.

Can I search for Hugging Face papers by a specific topic?▼

Yes, you can search for Hugging Face papers by a specific topic. When a topic variable is provided, the Skill queries the papers API for that subject and selects the best candidate based on relevance and community upvotes.

How does a paper recommendation system avoid suggesting the same research twice?▼

A paper recommendation system avoids suggesting the same research twice by logging previously recommended entries to memory. This Skill checks daily memory logs to filter out papers already mentioned before selecting today's best candidate.

What is the best way to prioritize which machine learning paper to read today?▼

The best way to prioritize which machine learning paper to read today is evaluating novelty, relevance, and community signals. This Skill analyzes Hugging Face API data to surface the single highest-impact paper, preventing information overload.

Does the Hugging Face papers API recommendation tool work without specifying a research category?▼

Yes, the Hugging Face papers API recommendation tool works without specifying a research category. If no topic variable is provided, it automatically defaults to browsing and evaluating today's trending entries for you.

Why does my daily paper recommendation return the same result repeatedly?▼

Daily paper recommendation returns the same result repeatedly if memory logs are not properly updated. The Skill relies on contextual logging to track chosen papers and prevent duplicate suggestions across subsequent searches.

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