By zimoliao
Run AI-driven research workflows in your coding environment: discover arXiv papers, ingest them into a local knowledge base, perform semantic search, topic modeling, citation graph analysis, and generate insights while developing AI agents or academic tools. Setup via Python script on session start with voice and web extraction support.
npx claudepluginhub zimoliao/scholaraio --plugin scholaraioShare bugs, ideas, or general feedback.
Automated research paper discovery, PDF monitoring, and AI-powered summarization for academic and technical literature
Semi-automated research assistant for academic research and software development, with skills for literature review, experiments, analysis, writing, and project knowledge management
Academic research suite: PPT generation, data extraction, literature search, figure processing, peer review, and Zotero integration
Karpathy-style LLM wiki for research papers. Ingest a URL / arXiv ID / DOI / PDF, write a structured summary into a local Obsidian vault, and maintain a finding-level knowledge graph via wikilinks + Dataview.
Production-grade academic research pipeline for Claude Code: research → write → review → revise → finalize. Ships 4 skills (deep-research, academic-paper, academic-paper-reviewer, academic-pipeline) covering 35+ modes, 32-agent ensemble, Material Passport handoff schema, v3.6.7 cross-model audit gate (synthesis + research-architect + report-compiler pattern protection layer), and v3.6.8 generator-evaluator contract for paper drafting.
Collection of arXiv paper management skills including CLI tool integration for fetching/searching papers and converting papers to Markdown documentation