gemini

Run one-shot Gemini AI interactions via command line with JSON output.

67|24|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/openxjarvis/openclaw-python --skill gemini-openxjarvis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini
Source: https://github.com/openxjarvis/openclaw-python/tree/main/skills/gemini
Command: npx skills add https://github.com/openxjarvis/openclaw-python --skill gemini-openxjarvis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a command-line interface to interact with the Gemini AI model for quick questions, text summarization, and content generation without needing to open a full chat interface.

Core Features & Use Cases

  • One-shot Q&A: Ask questions directly from your terminal.
  • Model Selection: Specify different Gemini models for varied outputs.
  • Output Formatting: Generate responses in JSON format for programmatic use.
  • Use Case: Quickly get an answer to a technical question or generate a short piece of marketing copy directly from your command line.

Quick Start

Use the gemini skill to answer the question "What is the capital of France?".

Frequently Asked Questions about gemini

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

FAQPage Schema
How do I use a Gemini CLI for quick question answering and text generation?

No, you do not need a full chat interface to generate text with the Gemini AI model. A command-line interface supports one-shot interactions for summarization and content generation directly from your terminal for quick results.

Can I format Gemini AI command line responses as JSON?

Yes, you can integrate Gemini AI responses into automated workflows by using the command-line interface. It supports JSON output formatting, allowing programmatic use of generated content and Q&A results directly within your scripts.

Do I need to install the gemini-cli tool to use this command line interface?

Yes, you can select specific Gemini models for varied outputs from the command line. The CLI supports model selection, allowing you to specify different Gemini AI models to tailor the generated responses to your needs.

What are the limitations of using a command line interface for Gemini AI generation?

The main limitation of using a command line interface for Gemini AI generation is that it is designed for one-shot interactions. It requires the gemini-cli tool to be installed and authenticated, and may not support persistent conversational context like a full chat interface.