deepxiv

Search and progressively read open-access academic papers through DeepXiv.

Updated May 29, 2026
One-click install
npx skills add https://github.com/Mang30/myskills --skill deepxiv-mang30
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepxiv
Source: https://github.com/Mang30/myskills/tree/main/skills/deepxiv
Command: npx skills add https://github.com/Mang30/myskills --skill deepxiv-mang30

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deepxiv helps you quickly find relevant open-access research and read it in layers (search → brief → head → specific sections) so you can avoid wasting time and tokens on full papers.

Core Features & Use Cases

  • Layered paper access: Fetch only what you need, from concise briefs to section-level reads, progressively increasing depth.
  • Targeted discovery: Search by topic or paper ID, including Semantic Scholar metadata lookups and DeepXiv-backed trending lists.
  • Workflow positioning: Complements arXiv and Semantic Scholar workflows by emphasizing efficient, section-by-section comprehension.

Quick Start

Ask to search and read a specific section progressively, for example: /deepxiv "2409.05591" - section: Introduction

Frequently Asked Questions about deepxiv

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

FAQPage Schema
How do I read specific sections of an arxiv paper without wasting tokens on the full text?

Reading specific sections of an arxiv paper without wasting tokens is achievable through progressive paper access. You can retrieve concise briefs or section-level reads by querying with an arxiv ID, increasing depth only as needed.

How do I search for trending open-access research papers using Semantic Scholar metadata?

Searching for trending open-access research papers using Semantic Scholar metadata is supported through targeted discovery. You can perform query lookups or retrieve DeepXiv-backed trending lists to find relevant academic literature efficiently.

Can I find academic papers by arxiv ID and get a brief summary instead of the full document?

Finding academic papers by arxiv ID to get a brief summary is fully supported. You can use layered modes to fetch concise briefs, minimizing token usage on full texts while still understanding the core research.

What is the best way to progressively read open-access academic literature?

Progressively reading open-access academic literature involves layered paper access. You transition from search results to briefs, then to paper heads and specific sections, ensuring efficient section-by-section comprehension.

Does Semantic Scholar metadata enrichment work with layered paper reading modes?

Semantic Scholar metadata enrichment works seamlessly with layered paper reading modes. It provides optional web or metadata lookups alongside brief, head, or section reading windows for comprehensive research discovery.

Why does my arxiv paper search require an adapter resolution fallback chain?

Arxiv paper search requires an adapter resolution fallback chain to ensure stable connectivity. It utilizes a canonical script fallback or raw DeepXiv CLI fallback to maintain structured result presentation during query processing.