What problem does it solve? Conducting a literature review requires manually querying many disconnected sources — arXiv, Semantic Scholar, Zotero libraries, Obsidian notes, and local PDF folders — then deduplicating and synthesizing the results. This Skill automates that multi-source retrieval and produces a structured landscape report with identified research gaps. ## Core Features & Use Cases - Multi-source paper retrieval: Queries Zotero, Obsidian, local PDFs, a 14k-paper interpretability knowledge graph, web search, and the arXiv API in parallel, with optional Semantic Scholar, DeepXiv, and Exa integrations. - Synthesis and gap analysis: Groups papers by approach, extracts consensus and contradictions, and identifies structural gaps such as untested assumptions and unexplored scaling regimes. - Persistent artifacts: Writes a raw retrieval dump (RESEARCH_LIT.md) and a synthesized landscape report (LANDSCAPE.md) that downstream idea-generation skills consume. - Use Case: Ask for a literature review on "activation steering in LLMs" and receive a deduplicated paper table, a narrative summary of the field, and a list of open research gaps saved to disk. ## Quick Start Ask the agent to run a literature review on your research topic, for example: find papers and summarize related work on mechanistic interpretability of transformer attention heads.