Do I need to install external software for this skill?

Yes, it requires the gemini-cli to be installed on your system, which can be done via Homebrew using 'brew install gemini-cli'.

Can I specify a specific Gemini model version?

Yes, the skill supports the --model flag, allowing you to target specific Gemini model names for your prompts.

Can this skill return data in a machine-readable format?

Yes, you can use the --output-format json flag to ensure Gemini returns responses as structured JSON.

What is the primary use of the Gemini skill in Claude Code?

It allows Claude Code to invoke the Gemini CLI for one-shot tasks like answering questions, summarizing text, or generating structured data without entering an interactive mode.

How do I handle authentication for the Gemini CLI?

You should run the 'gemini' command once interactively in your terminal to complete the login and authentication flow before using it through Claude Code.

Gemini CLI Integration

Name: Gemini CLI Integration
Author: ishuru

byishuru

数据科学与机器学习

Integrates Google's Gemini models into your command-line workflow for instant Q&A, content generation, and structured data extraction.

关于

The Gemini skill enables Claude Code to leverage Google's Gemini LLMs directly from the command line for one-shot tasks. It allows users to perform quick queries, generate summaries, and produce JSON-formatted responses without entering an interactive loop. This skill is particularly useful for developers who need to cross-reference AI responses, utilize Gemini's specific capabilities alongside Claude, or automate multi-model workflows within their terminal environment.

主要功能

One-shot Q&A and prompt execution via positional arguments
Structured data extraction with JSON output formatting
Extension management for expanding CLI capabilities
0 GitHub stars
Customizable model selection using the --model flag
Seamless system integration via the gemini-cli binary

使用场景

Summarizing code snippets or documentation using Gemini's specific context window
Generating structured JSON data for programmatic pipelines or migrations
Performing cross-model validation by comparing Claude and Gemini outputs

关于

主要功能

One-shot Q&A and prompt execution via positional arguments
Structured data extraction with JSON output formatting
Extension management for expanding CLI capabilities
0 GitHub stars
Customizable model selection using the --model flag
Seamless system integration via the gemini-cli binary

使用场景

Summarizing code snippets or documentation using Gemini's specific context window
Generating structured JSON data for programmatic pipelines or migrations
Performing cross-model validation by comparing Claude and Gemini outputs