Discover research papers via Gemini across multiple query variants.
npx skills add https://github.com/raja21068/AutoResearch --skill gemini-search-raja21068
Please help me install this Agent Skill. Skill: gemini-search Source: https://github.com/raja21068/AutoResearch/tree/main/skills/aris/gemini-search Command: npx skills add https://github.com/raja21068/AutoResearch --skill gemini-search-raja21068
It solves the problem of finding a broad set of relevant research papers when standard keyword search or single-source indexes miss important variants, related subtopics, and venue-specific literature.
mcp__gemini-cli__ask-gemini when available, and falls back to gemini -p with a timeout if MCP is not configured.Ask for paper discovery by running: Use /gemini-search "your research topic" to get a numbered list of relevant papers with structured metadata.
High-intent search queries and answers about installing and using this skill.
AI-driven literature discovery solves this by decomposing a topic into sub-problems and naming variants, returning a broader set of relevant research papers than standard keyword search.
Structured paper results provide a consistent set of fields including title, authors, year, venue, IDs, DOI, code link, and a one-sentence summary for each discovered paper.
Yes, the tool uses MCP-first execution but automatically falls back to the gemini CLI command with a 120-second timeout when the MCP tool is unavailable.
Broad literature discovery with Gemini generates comprehensive paper lists by decomposing topics into sub-problems, making it ideal for surveys, related-work mining, and code-aware paper discovery.
Yes, the structured paper results include specific identifiers such as arXiv IDs and DOIs, alongside authors, year, venue, and code links for each discovered paper.
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