# Gemini

> Use this tool when you need to leverage advanced AI capabilities, such as generating high-resolution images and videos, executing Python code, or analyzing documents, to solve complex tasks like content creation, data analysis, and research. Gemini provides a unified interface to access Google's Gemini 3 models, allowing for seamless interaction with various inputs like text, code, and multimedia. It outputs a wide range of results, including generated media, code execution results, and analyzed data, making it suitable for use cases that require multi-faceted AI functionality.

Canonical page: https://skillsregistry.net/skills/rlabs-inc-gemini  
JSON: https://api.skillsregistry.net/v1/skills/rlabs-inc-gemini

## Description

Provides comprehensive access to Google's Gemini 3 models through a unified interface. Features include image generation up to 4K resolution with multi-turn editing, video generation via Veo 2.0, text-to-speech with multiple voices, Python code execution, web search with citations, document analysis, and YouTube video transcription.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rlabs-inc-gemini)
- **Repository:** <https://github.com/rlabs-inc/gemini-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rlabs-inc-gemini"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rlabs-inc-gemini` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rlabs-inc-gemini/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt