Agent skill

gemini-search

Search research papers via Gemini for broad literature discovery. Use when user says "gemini search", "gemini papers", "search with gemini", or wants AI-powered literature discovery beyond arXiv/Semantic Scholar indexes.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gemini-search-wanshuiyin-auto-claude-code-res-3 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Allowed tools: Bash(*)ReadWritemcp__gemini-cli__*
Path: skills/ai-llm/gemini-search-wanshuiyin-auto-claude-code-res-3/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Gemini Literature Search Search query: $ARGUMENTS ## Role & Positioning This skill uses Gemini as a **broad literature discovery** source: | Skill | Source | Best for | |-------|--------|----------| | `/arxiv` | arXiv API | Latest preprints, cutting-edge unrefereed work | | `/semantic-scholar` | Semantic Scholar API | Published venue papers (IEEE, ACM, Springer) with citation counts | | `/deepxiv` | DeepXiv CLI | Layered reading: search, brief, section map, section reads | | `/exa-search` | Exa API | Broad web search: blogs, docs, news, companies, research papers | | `/gemini-search` | Gemini MCP / CLI | **AI-powered broad literature discovery** — searches across multiple angles, aliases, and sub-problems | Use Gemini when you want AI-driven discovery that goes beyond keyword matching — Gemini decomposes topics into sub-problems, explores naming variants, and surfaces papers that traditional API searches may miss. ## Constants - **MAX_RESULTS = 15** — Target number of papers Gemini should find. - **MIN_YEAR = 2022** — Default minimum publication year. Override with `— year: 2020-`. - **DEFAULT_MODEL = auto-gemini-3** — Auto-routes within the Gemini 3 family (Pro / Flash) by serve

What's inside
Steps it walks through
  1. Role & Positioning
  2. Constants
  3. Environment & Setup
  4. Prerequisites
  5. MCP Configuration
  6. Authentication
  7. Available MCP Tools
  8. Verify Setup
  9. Workflow
  10. Step 1: Parse Arguments
  11. Step 2: Execute Search (MCP Priority)
  12. Step 3: Parse Results
  13. Step 4: Present Results
  14. Step 5: Offer Follow-up
Ships with 1 file
  • metadata.json
Commands it runs
npm install -g @google/gemini-cli
gemini auth
npm install -g gemini-mcp-tool
codex mcp add gemini-cli -- npx -y gemini-mcp-tool
export GEMINI_API_KEY=your-key-here
gemini --version
gemini -p 'You are a research literature scout. Search comprehensively for papers on: "QUERY"
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About this skill
What does the gemini-search skill do?

Search research papers via Gemini for broad literature discovery. Use when user says "gemini search", "gemini papers", "search with gemini", or wants AI-powered literature discovery beyond arXiv/Semantic Scholar indexes.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gemini-search-wanshuiyin-auto-claude-code-res-3 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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