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.