gemini-ai

Automate Gemini text generation, image analysis, and embeddings via the robomotion googlegemini CLI.

2|1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/robomotionio/robomotion-skills --skill gemini-ai-robomotionio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-ai
Source: https://github.com/robomotionio/robomotion-skills/tree/main/skills/gemini-ai
Command: npx skills add https://github.com/robomotionio/robomotion-skills --skill gemini-ai-robomotionio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gemini-based generation, vision analysis, and embedding creation enable end-to-end AI interactions within Robomotion workflows, consolidating multi-modal capabilities behind a single CLI.

Core Features & Use Cases

  • Text generation with Google Gemini models
  • Image analysis and description from prompts
  • Embedding generation for semantic search and similarity
  • Multi-turn chat with history and session management
  • Content generation and vision-enabled prompts for documents and media

Quick Start

Connect with robomotion googlegemini, establish a session, and begin generating or chatting with Gemini using the provided commands.

Frequently Asked Questions about gemini-ai

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

FAQPage Schema
How do I automate text generation and image analysis using Google Gemini models?

Automate text generation and image analysis using Google Gemini models through the robomotion googlegemini CLI, which handles multi-modal content generation, vision-enabled prompts, and single-turn outputs within Robomotion workflows.

Can I maintain multi-turn chat history with Google Gemini inside an automated workflow?

Yes, you can maintain multi-turn chat history with Google Gemini by establishing a session using a session-id, allowing subsequent commands to preserve context for long-running conversational interactions.

How do I generate embeddings for semantic search pipelines with Google Gemini?

Generate embeddings for semantic search pipelines by passing text and image data through the googlegemini CLI, producing vector representations that enable similarity matching across your content.

Do I need a specific environment setup to run Google Gemini commands in Robomotion?

You need the Robomotion CLI installed locally, a Google Gemini API key configured in the vault, and proper session handling with connect and session-id commands to execute subsequent Gemini operations.

What is the best way to consolidate multi-modal AI capabilities behind a single CLI?

Consolidate multi-modal AI capabilities behind a single CLI by using the googlegemini interface, which unifies text generation, vision analysis, and embedding creation under one command structure for streamlined workflow automation.

Why should I use Google Gemini for vision-enabled prompts on documents and media?

Use Google Gemini for vision-enabled prompts to analyze and describe images from prompts, enabling automated extraction of visual information from documents and media files within your pipelines.