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paper-hunt

Search arXiv by natural language research directions and generate curated paper reports.

6|Updated Mar 6, 2026
Search Tags:#semantic-search#arxiv#literature-review#paper-search#research-automation#note-linking
One-click install
npx skills add https://github.com/wangzr040220/claude-article-read --skill paper-hunt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-hunt
Source: https://github.com/wangzr040220/claude-article-read/tree/main/paper-hunt
Command: npx skills add https://github.com/wangzr040220/claude-article-read --skill paper-hunt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables researchers to quickly locate and organize relevant papers by parsing natural-language research directions, generating a prioritized list, and automatically linking keywords to existing notes.

Core Features & Use Cases

  • Keyword-customizable search: Users specify any research direction and quantity; the system searches arXiv accordingly.
  • Auto-report generation: Creates a structured overview of results, including a paper list and a suggested reading order.
  • Deep analysis for top papers: For the top 3 results, checks for existing notes and performs or links detailed analyses when needed.
  • Smart linking: Automatically links keywords to related notes in the vault to enhance knowledge graphs.
  • On-demand customization: Works from free-text prompts, with optional time-range controls such as latest papers.

Quick Start

Describe your research direction and the number of papers you want, then confirm to start the search.

Frequently Asked Questions about paper-hunt

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

FAQPage Schema
How do I automate arXiv literature search using natural language research directions?▼

Automated arXiv literature search parses natural-language research directions to query papers by keywords and categories, returning a curated report with summaries and a suggested reading order. It scores results by relevance, recency, popularity, and quality.

How do I generate a literature review report with a suggested reading order for arXiv papers?▼

Generating a literature review report involves querying arXiv with your specified research direction and quantity to produce a structured overview. The output includes a prioritized paper list, summaries, and an optimized reading order for the curated results.

Can I search for recent arXiv papers and link keywords to existing notes in my vault?▼

Searching recent arXiv papers supports optional time-range controls to filter latest publications. Smart linking automatically connects discovered keywords to existing notes in your vault, enhancing knowledge graph integration.

Do I need Python 3 to run automated arXiv paper searches and deep analysis?▼

Automated arXiv paper searches require Python 3 and active arXiv API access to function properly. Vault integration is also necessary to enable keyword linking and deep analysis for the top three search results.

How does deep analysis work for top papers found during an arXiv literature search?▼

Deep analysis for top papers checks the top three search results against existing notes in your vault. It performs or links detailed analyses when needed, ensuring comprehensive coverage of the most relevant literature.

What is the best way to discover and organize related research papers across large arXiv categories?▼

Discovering related research papers across arXiv categories is best handled by specifying your research direction and desired quantity. The system scores papers by relevance, recency, popularity, and quality, then auto-generates a prioritized list with smart keyword linking.

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