Paper Digest

Searches Semantic Scholar and arXiv APIs for recent papers and compiles relevance-scored summaries into a report.

17|1|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/aaronjmars/miroshark-aeon --skill paper-digest
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Paper Digest
Source: https://github.com/aaronjmars/miroshark-aeon/tree/main/skills/paper-digest
Command: npx skills add https://github.com/aaronjmars/miroshark-aeon --skill paper-digest

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the discovery and summarization of recent research papers, saving researchers time on literature review.

Core Features & Use Cases

  • Research Paper Tracking: Searches Semantic Scholar and arXiv for new publications matching specified topics.
  • Relevance Scoring: Ranks papers based on keyword match and relatedness to user interests.
  • Weekly Briefings: Generates concise summaries and compiles them into a report for review.
  • Use Case: A researcher wants weekly updates on AI safety papers relevant to their recent projects, receiving a summarized digest automatically.

Quick Start

Ask the AI to prepare a weekly research summary based on recent papers in machine learning.

Frequently Asked Questions about Paper Digest

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

FAQPage Schema
How do I automatically summarize new research papers for a literature review?

To automatically summarize new research papers, this Skill queries Semantic Scholar and arXiv APIs to find recent publications matching your topics, evaluates relevance, and compiles concise summaries into a weekly briefing report.

Can I track academic publications on arXiv using specific research interests?

Yes, you can track academic publications on arXiv by specifying your research interests. The Skill searches arXiv and Semantic Scholar, ranks papers based on keyword match and relatedness, and generates a summarized digest of relevant findings.

How does relevance scoring work for academic literature reviews?

Relevance scoring for academic literature reviews works by ranking found papers based on keyword match and overall relatedness to your specified research interests, ensuring the compiled summaries focus on the most pertinent academic updates.

Do I need API keys to retrieve summaries from Semantic Scholar?

You need access to the Semantic Scholar and arXiv APIs for data retrieval to generate research paper summaries. The Skill requires these API connections to search for new publications and compile its weekly briefings.

What is the best way to get weekly updates on machine learning research papers?

The best way to get weekly updates on machine learning research papers is to ask the AI to prepare a weekly research summary based on recent papers. It automatically finds, scores, and summarizes relevant academic publications for your review.