gemini

Generate text and summaries via gemini-cli from the terminal.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/wangqianCAI/OBI --skill gemini-wangqiancai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini
Source: https://github.com/wangqianCAI/OBI/tree/main/skills/gemini
Command: npx skills add https://github.com/wangqianCAI/OBI --skill gemini-wangqiancai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the friction of switching to a browser to access AI models, allowing you to perform quick queries, summaries, and text generation directly from your terminal.

Core Features & Use Cases

  • One-shot Generation: Execute prompts directly without entering interactive chat sessions.
  • Flexible Output: Support for raw text or structured JSON output formats.
  • Use Case: Quickly summarize a long log file or generate a boilerplate code snippet by piping terminal output directly into the Gemini CLI.

Quick Start

Use the gemini skill to generate a summary of the provided text by running the command gemini followed by your prompt in quotes.

Frequently Asked Questions about gemini

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

FAQPage Schema
How do I use Gemini AI for text generation and summarization directly in the terminal?

You can execute one-shot text generation and summarization tasks from the terminal by running the gemini command followed by your prompt in quotes, removing the need to switch to a browser.

Can I pipe terminal output into the Gemini CLI to summarize a long log file?

Yes, you can pipe terminal output directly into the Gemini CLI to quickly summarize long log files, generate boilerplate code snippets, and process data without entering an interactive chat session.

What do I need to install to run one-shot AI queries via the Gemini CLI?

You must have the gemini-cli binary installed on your system and complete the standard Google AI login flow authentication before executing one-shot AI queries.

Does the Gemini CLI support structured JSON output instead of raw text?

Yes, the Gemini CLI supports flexible output formats, allowing you to specify either raw text or structured JSON output formats for your generated text and analysis results.

When should I use one-shot generation via the CLI instead of an interactive chat session?

Use one-shot generation via the CLI when you need rapid integration of LLM capabilities into terminal-based workflows for immediate data processing, rather than engaging in continuous conversational interactions.

What are the limitations of using the Gemini CLI for terminal-based workflows?

The Gemini CLI is limited to one-shot text generation and analysis tasks, requiring the gemini-cli binary and Google AI login, and does not support interactive chat sessions or persistent conversations.