Skip to content
Agentmart
Submit a tool

gemini-search

Search research papers via Gemini for broad literature discovery.

Skill by wanshuiyin

IndexedMIT★ 18,007
Write a review

Chalk Labs

Need help deploying gemini-search?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/wanshuiyin-gemini-search

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

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.

Use cases: research

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/gemini-search

Tools it pre-approves 4

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • Bash(*),
  • Read,
  • Write,
  • mcp__gemini-cli__*

What's inside

Skill name
gemini-search
Description
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.
License
MIT
Allowed tools
Bash(*),, Read,, Write,, mcp__gemini-cli__*
Instructions
226 lines in SKILL.md · view on GitHub

Before installing

  • Pre-approves some shell commands

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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 server-side capacity. Required by `mcp__gemini-cli__ask-gemini` and `gemini-cli` v0.40+; explicit `gemini-3-pro-preview` is **silently downgraded to `gemini-2.5-pro`** on OAuth-personal / Google One AI Pro accounts when capacity is exhausted. Override with `— model: gemini-3-flash-preview` (Gemini 3 Flash explicit, faster, higher quota), or `— model: gemini-2.5-pro` / `gemini-2.5-flash` (legacy, only for users on older `gemini-cli` < v0.40). The MCP tool accepts all of these verbatim.

> Overrides (append to arguments):
> - `/gemini-search "topic" — max: 20` — request up to 20 papers
> - `/gemini-search "topic" — year: 2020-` — papers from 2020 onward
> - `/gemini-search "topic" — code-only` — only papers with open-source code
> - `/gemini-search "topic" — venues: NeurIPS,ICML,ICLR` — focus on specific venues
> - `/gemini-search "topic" — model: gemini-3-flash-preview` — Gemini 3 Flash (faster, higher quota, less capable than Pro)
> - `/gemini-search "topic" — model: auto-gemini-3` — auto-routes within the Gemini 3 family by load
> - `/gemini-search "topic" — model: gemini-2.5-pro` — legacy (only if your `gemini-cli` < v0.40)

## Environment & Setup

### Prerequisites

1. **Node.js** v16.0.0+
2. **Google Gemini CLI** — installed and authenticated
   ```bash
   npm install -g @google/gemini-cli
   gemini auth
   ```
3. **gemini-mcp-tool** — MCP bridge for Claude Code ([jamubc/gemini-mcp-tool](https://github.com/jamubc/gemini-mcp-tool))
   ```bash
   npm install -g gemini-mcp-tool
   ```

### MCP Configuration

In `~/.claude.json` (or `%APPDATA%\Claude\claude_desktop_config.json` for Claude Desktop), add:

```json
{
  "mcpServers": {
    "gemini-cli": {
      "command": "gemini-mcp"
    }
  }
}
```

Alternative via `npx` (auto-install):
```json
{
  "mcpServers": {
    "gemini-cli": {
      "command": "npx",
      "args": ["-y", "gemini-mcp-tool"]
    }
  }
}
```

Or one-line setup:
```bash
claude mcp add gemini-cli -- npx -y gemini-mcp-tool
```

### Authentication

Gemini CLI uses your Google account or an API key. Reuse an existing Google account login, or set an API key in the same shell **before starting Claude Code** so the MCP process inherits it:

```bash
export GEMINI_API_KEY='your-key-here'
claude
```

A separate tool-shell `export` does not update an already running host or MCP process. If you keep credentials in an environment file, load it explicitly before starting the host rather than relying on automatic `.env` loading.

- Free key from [Google AI Studio](https://aistudio.google.com/apikey)
- Flash model (`gemini-2.5-flash`) has a generous free tier (500 req/min)

### Available MCP Tools

| Tool | Parameters | Description |
|------|-----------|-------------|
| `mcp__gemini-cli__ask-gemini` | `prompt` (required), `model` (optional), `sandbox` (optional) | Ask Gemini for analysis or research; supports `@file` syntax |
| `mcp__gemini-cli__sandbox-test` | `prompt` (required), `model` (optional) | Safe code execution in sandbox |
| `mcp__gemini-cli__ping` | — | Connection test |
| `mcp__gemini-cli__help` | — | Show Gemini CLI help |

### Verify Setup

```bash
gemini --version
```

## Workflow

### Step 1: Parse Arguments

Parse `$ARGUMENTS` for:
- **query**: The research topic (required)
- **max**: Override MAX_RESULTS
- **year**: Minimum publication year (e.g., `2020-`)
- **code-only**: Only include papers with open-source code
- **venues**: Comma-separated venue filter
- **model**: Override DEFAULT_MODEL

From wanshuiyin/Auto-claude-code-research-in-sleep, MIT.

More from wanshuiyin/Auto-claude-code-research-in-sleep

Signals

Stars
18,007
Forks
1,488
Open issues
58
Last commit (this folder)
Jul 13, 2026 (3 months ago)
Last release
Sep 28, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

More from wanshuiyin

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get gemini-search running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying gemini-search?

CallGet help
Cite this page

gemini-search skill. Agent Mart. https://agentmart.dev/skills/wanshuiyin-gemini-search (last updated 2026-10-24)