What problem does it solve? Building a grounded picture of prior work on a research topic requires checking local paper collections, searching the web, and querying arXiv separately, then manually de-duplicating and synthesizing the results. ## Core Features & Use Cases - Multi-source paper discovery: Scans local PDF libraries (papers/ or literature/ folders), runs public web searches, and queries the arXiv API through a bundled helper script, then merges and de-duplicates results. - Structured landscape synthesis: Extracts problem, method, results, and relevance for each paper, groups them by research theme, and outputs a comparison table plus a narrative summary of trends and gaps. - Optional PDF download: When enabled, downloads the top-ranked arXiv PDFs into the local library with size validation and duplicate skipping. - Use Case: Ask for a literature review on "test-time scaling for VLM agents" and receive a ranked table of relevant papers with venues, key results, and a summary of open research gaps. ## Quick Start Use the research-lit skill to find and summarize recent papers on diffusion models for video generation.
