gemini

Generate text, summaries, and answers via the Gemini CLI with JSON output.

4|2|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/Clawdi-AI/openclaw --skill gemini-clawdi-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini
Source: https://github.com/Clawdi-AI/openclaw/tree/main/skills/gemini
Command: npx skills add https://github.com/Clawdi-AI/openclaw --skill gemini-clawdi-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a command-line interface to interact with Google's Gemini models for quick questions, text summarization, and content generation directly from your terminal.

Core Features & Use Cases

  • One-shot Q&A: Ask questions and get immediate answers.
  • Summarization: Condense long texts into concise summaries.
  • Content Generation: Create text based on prompts.
  • Model Selection: Specify different Gemini models for varied tasks.
  • JSON Output: Generate responses in JSON format for programmatic use.

Quick Start

Use the gemini command 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 the Gemini CLI for text summarization and Q&A from the terminal?

Use the Gemini CLI for text summarization and Q&A by running one-shot commands directly in your terminal. It interfaces with Google AI models to return immediate answers or concise summaries of long texts.

Can I get JSON output from Gemini CLI responses for programmatic workflows?

Yes, you can generate JSON output from Gemini CLI responses. The Skill supports JSON output formatting, allowing you to parse and integrate the generated text or answers directly into automated workflows.

Do I need Google AI authentication to run Gemini CLI tasks?

Yes, you need Google AI authentication to run Gemini CLI tasks. The Skill requires authentication with Google AI services and the installed 'gemini-cli' tool to execute generation and summarization commands.

What is the best way to generate text using different Google Gemini models in a CLI?

The best way to generate text using different Google Gemini models is through the model selection feature. This allows you to specify various Gemini models in the CLI to handle varied text generation tasks.

Are there limitations when using Gemini CLI for one-shot question answering?

Gemini CLI one-shot question answering is designed for immediate responses and lacks conversational memory. It is limited to single-turn interactions, making it unsuitable for multi-turn dialogues or stateful reasoning tasks.