research-lit

Search configured sources and extract problem, method, results, and relevance from academic literature.

2|1|Updated Apr 19, 2026
One-click install
npx skills add https://github.com/raja21068/AutoResearch --skill research-lit-raja21068
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-lit
Source: https://github.com/raja21068/AutoResearch/tree/main/skills/aris/research-lit
Command: npx skills add https://github.com/raja21068/AutoResearch --skill research-lit-raja21068

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Research-lit helps you quickly find and understand relevant academic papers so you can write better related work and make informed research decisions without manually searching across scattered sources.

Core Features & Use Cases

  • Multi-source literature discovery: Search local PDFs, Zotero libraries, Obsidian vault notes, and the web (plus optional academic APIs like Semantic Scholar, OpenAlex, DeepXiv, Gemini, and Exa).
  • Topic-grounded paper analysis: Extract problem, methods, results, and relevance for each retrieved paper, then synthesize findings into a structured table and narrative landscape.
  • Evidence-aware workflow options: Supports deduplication across sources, optional arXiv metadata-only fetching, and optional arXiv PDF downloading for top-ranked items.

Quick Start

Ask the AI to run: research-lit on the topic "diffusion models for audio generation" using web and local paper PDFs, then return a table of the most relevant papers with method and key results plus a short synthesis.

Frequently Asked Questions about research-lit

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

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

To automate a literature review, this Skill searches configured sources like arXiv, local PDFs, and the web to extract problems, methods, and results into a structured synthesis. It deduplicates findings and formats them into a structured table and narrative landscape.

What is the best way to build a literature table from arXiv metadata and local PDFs?

Building a literature table is achieved by running a multi-step retrieval pipeline that fetches arXiv metadata and analyzes local PDFs. The pipeline extracts relevant data, deduplicates entries across sources, and outputs a structured table with methods and key results.

Can I search my Zotero library and Obsidian notes alongside web results for research papers?

Yes, you can search Zotero libraries and Obsidian vault notes alongside web results. The Skill integrates these sources to locate related work, building a comprehensive research landscape by deduplicating findings across all configured platforms.

Does this literature review tool support automatically downloading top-ranked arXiv PDFs?

Yes, this tool supports optional arXiv PDF downloading for top-ranked items during the retrieval pipeline. It also supports arXiv metadata-only fetching, allowing you to choose whether to download full PDFs or just analyze the metadata.

How do I configure topic routing for a multi-source academic paper search?

Topic routing is configured by providing a YAML-frontmatter metadata block with an argument hint. This directs the multi-step retrieval pipeline to analyze the specified topic across local PDFs, Zotero, Obsidian, and academic APIs for grounded summaries.