scholarag
•published 2026/01/18
Build PRISMA 2020-compliant systematic literature review systems with RAG-powered analysis in VS Code. Use when researcher needs automated paper retrieval (Semantic Scholar, OpenAlex, arXiv), AI-assisted PRISMA screening (50% or 90% threshold), vector database creation (ChromaDB), or research conversation interface. Supports knowledge_repository (comprehensive, 15K+ papers, teaching/exploration) and systematic_review (publication-quality, 50-300 papers, meta-analysis) modes. Conversation-first workflow with 7 stages.
📦 Install Skill
Command line install
Install directly with the `skills` CLI.
npx skills add HosungYou/ScholaRAG-helperLocal download
Download the full skill package locally, then extract and import.
wget -O ScholaRAG-helper-85d9d1629bcf287ac14834029bea9b0e26f7f80d.zip "https://github.com/HosungYou/ScholaRAG-helper/archive/refs/heads/85d9d1629bcf287ac14834029bea9b0e26f7f80d.zip"File Explorer
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