gemini-search

Search literature across multiple angles and naming variants using Gemini.

Updated Jun 7, 2026
One-click install
npx skills add https://github.com/czh-ee-2023/zotero-aris --skill gemini-search-czh-ee-2023
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-search
Source: https://github.com/czh-ee-2023/zotero-aris/tree/main/.claude/skills/gemini-search
Command: npx skills add https://github.com/czh-ee-2023/zotero-aris --skill gemini-search-czh-ee-2023

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @google/gemini-cli, gemini-mcp-tool, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of finding comprehensive literature beyond traditional indexes, offering AI-driven discovery across multiple angles and naming variants.

Core Features & Use Cases

  • AI-Powered Discovery: Utilizes Gemini for broad literature search, exploring sub-problems and naming variants.
  • Multiple Sources: Integrates with Gemini to search across multiple angles, including arXiv, Semantic Scholar, and more.
  • Use Case: When searching for research papers on a complex topic, use this Skill to uncover papers that may be missed by traditional keyword searches.

Quick Start

Run the command 'gemini search "topic"' to initiate an AI-powered literature search.

Frequently Asked Questions about gemini-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform an AI-powered literature search for academic papers?

AI-powered literature search uses Gemini to explore academic papers across multiple angles and naming variants. It integrates with sources like arXiv and Semantic Scholar to uncover research missed by traditional keyword searches.

Do I need the Gemini CLI to use this AI literature search capability?

Yes, AI literature search requires the Google Gemini CLI and gemini-mcp-tool to operate. These dependencies provide the advanced search capabilities and MCP tool integrations needed for research discovery.

How does Gemini handle research discovery for complex topics?

Gemini handles research discovery by exploring sub-problems and naming variants of a complex topic. This AI-driven approach searches across multiple angles to find comprehensive academic literature beyond standard indexes.

What is the best way to find academic papers missed by traditional keyword searches?

The best way to find academic papers missed by traditional searches is using Gemini's AI-powered discovery. Run the command 'gemini search "topic"' to initiate a broad literature search across multiple sources.

Can I search arXiv and Semantic Scholar using Gemini MCP tools?

Yes, you can search arXiv and Semantic Scholar using Gemini MCP tools. The Skill integrates with these sources to perform comprehensive, AI-driven literature discovery across multiple research angles.

Why use AI-driven discovery instead of traditional academic paper indexes?

AI-driven discovery is used instead of traditional indexes to overcome keyword limitations by exploring sub-problems and naming variants. It provides comprehensive research discovery across multiple angles that standard searches often miss.