Execute Gemini CLI prompts for code analysis and generation.
npx skills add https://github.com/PeterFile/my-common-skills --skill gemini-peterfile
Please help me install this Agent Skill. Skill: gemini Source: https://github.com/PeterFile/my-common-skills/tree/main/gemini Command: npx skills add https://github.com/PeterFile/my-common-skills --skill gemini-peterfile
This Skill automates access to the Gemini CLI to perform AI-powered code analysis and generation, reducing setup time for complex reasoning tasks.
Use the gemini skill to run a prompt against a sample project using the gemini.py wrapper, for example: uv run ~/.claude/skills/gemini/scripts/gemini.py "explain this function" "/path/to/project"
High-intent search queries and answers about installing and using this skill.
To use Gemini CLI for automated code analysis, execute the provided Python wrapper script with your analysis prompt and target project path. This passes your query to the Gemini model to generate code insights and refactor suggestions directly from the command line.
Yes, you can specify a different Gemini model for code generation. The Skill is model-flexible and allows you to select between multiple Gemini models by configuring the GEMINI_MODEL environment variable or by passing the -m command-line option during execution.
The prerequisite for running Gemini AI code review workflows is having the Gemini CLI installed and accessible in your system's PATH. You also need Python installed to execute the wrapper script that processes your prompts and manages the execution.
Yes, the Gemini CLI wrapper supports running prompts in a specific project directory. You can provide an optional working directory path as the second argument to the script, ensuring the code analysis executes within the correct project context.
The execution timeout limit when running Gemini CLI for code insights is a fixed 2-hour window. This extended timeout accommodates complex code review and large codebase analysis tasks that require deeper reasoning and longer processing times to complete.
Unlike other CLI tools in the Software Engineering category, this approach specifically automates the Gemini CLI for AI-powered code analysis. It provides a model-flexible, prompt-driven wrapper that streamlines architectural reviews and refactoring without manual CLI configuration.
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