autoexplore

Automate literature discovery and synthesis into interlinked Markdown pages.

9|Updated Jul 1, 2026
One-click install
npx skills add https://github.com/Agents4Academia-AI/UReKA --skill autoexplore
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autoexplore
Source: https://github.com/Agents4Academia-AI/UReKA/tree/main/.claude/skills/autoexplore
Command: npx skills add https://github.com/Agents4Academia-AI/UReKA --skill autoexplore

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the challenge of information overload in academic and technical research by autonomously gathering, reading, and synthesizing literature into a structured, interlinked knowledge base.

Core Features & Use Cases

  • Autonomous Literature Review: Searches papers and credible web sources to build a comprehensive corpus on any given topic.
  • Concept Mapping: Decomposes complex research into elementary, interlinked concept pages and synthesis reports.
  • Use Case: When starting a new project on a complex topic like diffusion models, use this Skill to automatically generate a library of summarized papers and concept definitions to jumpstart your understanding.

Quick Start

Use the autoexplore skill to research the current state of continual learning and build a concept web in the course library.

Frequently Asked Questions about autoexplore

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

FAQPage Schema
How do I automate a literature review and synthesize academic papers?

Automating a literature review involves iteratively searching academic databases, rendering full-text papers, and decomposing concepts to generate an interlinked knowledge base. This Skill performs autonomous discovery and synthesis using sources like OpenAlex and arXiv.

What is the best way to build a structured knowledge base from web-based research?

Building a structured knowledge base from research requires gathering credible web sources, reading full texts, and mapping complex concepts. This Skill autonomously synthesizes literature into interlinked Markdown pages to combat information overload.

Do I need the prior Python package to run autonomous research and synthesis?

Yes, the prior Python package is a required dependency. You also need network access to academic databases like OpenAlex and arXiv for the Skill to effectively perform iterative literature searches and concept decomposition.

Can I use autoexplore to map concepts for a complex new topic like diffusion models?

Yes, you can use autoexplore to jumpstart your understanding of complex topics. It decomposes research into elementary, interlinked concept pages and synthesis reports, automatically generating a library of summarized papers for your chosen subject.

How does concept decomposition work when synthesizing academic literature?

Concept decomposition works by breaking down complex research gathered from academic databases into elementary, interlinked concept pages. This process creates structured Markdown synthesis reports that map relationships between ideas across multiple papers.

Does automated literature search work with OpenAlex and arXiv databases?

Yes, automated literature search works directly with OpenAlex and arXiv. The Skill requires network access to these academic databases to perform iterative searches, acquire full texts, and synthesize findings into an interlinked knowledge base.