What problem does it solve? Conducting a literature survey requires manually searching multiple sources, reading dozens of papers, and synthesizing findings into a coherent picture of the field. This Skill automates that process by aggregating papers from your Zotero library, Obsidian notes, local PDFs, and web sources, then producing a structured landscape map with thematic analysis and a gap identification matrix. ## Core Features & Use Cases - Multi-source paper discovery: Searches Zotero (via MCP), Obsidian vaults, local PDF libraries, arXiv, Semantic Scholar, and Google Scholar with graceful fallback when a source is unavailable. - Thematic synthesis and gap matrix: Groups 15-30 papers into themes, classifies gaps by type (cross-domain transfer, untested assumption, scaling frontier, etc.), and assigns confidence levels. - Structured outputs: Writes LANDSCAPE.md for human reading and LANDSCAPE.json for downstream skills like idea generation and screening, plus optional author trajectory tracing. - Use Case: A researcher starting work on diffusion models runs the skill to get a landscape of 25 papers, 5 major themes, and 8 identified gaps, then feeds the JSON directly into an idea-generation workflow. ## Quick Start Ask the assistant to run a literature survey on your research topic, for example: run a literature survey on diffusion models for video generation.
