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.
Install
npx skills add HosungYou/ScholaRAG-helper --skill scholaragnpx skills add HosungYou/ScholaRAG-helper --skill scholarag -a claude-code -gnpx skills add HosungYou/ScholaRAG-helper --skill scholarag -a codex -ggemini skills install https://github.com/HosungYou/ScholaRAG-helper.git --path .claude/skills/scholaraggh skill install HosungYou/ScholaRAG-helper scholaraggit clone --depth 1 https://github.com/HosungYou/ScholaRAG-helper /tmp/HosungYou__ScholaRAG-helper
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/HosungYou__ScholaRAG-helper/.claude/skills/scholarag ~/.claude/skills/scholarag # Claude Code
cp -R /tmp/HosungYou__ScholaRAG-helper/.claude/skills/scholarag ~/.agents/skills/scholarag # Codex, Cursor, Gemini CLI, Copilot, OpenCode