fetch-latest-ai-papers

Name: fetch-latest-ai-papers
Availability: InStock
Author: wtgme

Fetch, filter, and summarize recent arXiv AI papers into a themed email digest.

Updated Feb 6, 2026

Search Tags:#literature review #ai research #arxiv #paper summarization #state-of-the-art #research digest

Ready to run

npx skills add https://github.com/wtgme/literature-review-skills --skill fetch-latest-ai-papers

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fetch-latest-ai-papers
Source: https://github.com/wtgme/literature-review-skills/tree/main/.gemini/skills/fetch-latest-ai-papers
Command: npx skills add https://github.com/wtgme/literature-review-skills --skill fetch-latest-ai-papers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of sifting through the vast and rapidly growing volume of AI research papers to deliver concise, high-quality digests of the most significant work.

Core Features & Use Cases

Automated Filtering & Scoring: Identifies high-quality papers based on novelty, impact, and research trends, filtering out lower-effort contributions.
Thematic Grouping & Summarization: Organizes selected papers into relevant research themes and provides concise summaries.
SOTA Tracking & Consensus Challenging: Highlights papers that push the state-of-the-art and those that challenge current assumptions.
Use Case: A researcher wanting to stay updated on the latest advancements in LLM agents can use this Skill to receive a weekly digest of the most impactful papers in that specific area, saving them hours of manual searching and screening.

Quick Start

Fetch the latest AI papers from arXiv for the last 7 days, focusing on the 'cs.LG' category.

Frequently Asked Questions about fetch-latest-ai-papers

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

FAQPage Schema

How do I get an automated arXiv paper digest for recent AI research?▼

You can fetch an automated arXiv paper digest by running a process that filters recent AI publications based on novelty and impact, generating a curated summary grouped by research theme.

Can I filter arXiv papers to only track state-of-the-art trends?▼

Yes, you can filter arXiv papers to track state-of-the-art trends by screening publications for specific quality signals, highlighting those that push boundaries or challenge current consensus.

How do I summarize high-quality AI papers without manual searching?▼

You can summarize high-quality AI papers automatically by fetching recent articles from arXiv, scoring them for impact, and organizing the selected papers into concise thematic summaries.

Does the paper summarization skill work with Semantic Scholar data?▼

Yes, the paper summarization process utilizes Python utilities to enrich arXiv paper data with information from Semantic Scholar before filtering and generating the final digest.

Do I need Python3 installed to generate a research digest?▼

Yes, you need Python3 installed in your environment to execute the shared utilities required for fetching, enriching, and processing the arXiv papers into a structured digest.

What is the best way to receive updates on challenging AI research consensus?▼

The best way to receive updates is to generate a curated digest that specifically identifies papers challenging current assumptions, automatically sending the structured summary via email.