Can I use Gemini CLI for multi-step tasks?

Yes, by using the --resume flag followed by a session ID or 'latest', you can maintain context across multiple command invocations for complex workflows.

What is the difference between auto_edit and yolo modes?

auto_edit automatically applies file changes but prompts for shell commands, while yolo mode automatically approves both file and shell operations. yolo should only be used in sandboxed environments.

How do I restrict what files Gemini CLI can see?

Gemini uses an explicit consent model. You must use the --include-directories flag to grant the agent visibility into specific parts of your project.

How do I fix '0 occurrences found' errors during edits?

This usually happens when the model misjudges whitespace. You can fix this by enabling 'useSmartEdit': true in your .gemini/settings.json to allow for fuzzy matching.

Gemini CLI Automation & Agentic Workflows

Name: Gemini CLI Automation & Agentic Workflows
Author: SpillwaveSolutions

bySpillwaveSolutions

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Deployment & DevOps

Automates headless workflows and CI/CD pipelines using Google's Gemini CLI with advanced approval modes and context management.

This skill empowers Claude to build and manage sophisticated agentic systems using the Gemini CLI. It provides deep expertise in configuring headless execution, selecting the right approval modes (auto_edit vs. yolo), and managing file permissions for secure automation. Whether you are setting up automated CI/CD pipelines, debugging surgical code edits with smartEdit, or integrating external services via Model Context Protocol (MCP), this skill ensures your Gemini-powered agents are reliable, secure, and highly efficient.

Key Features

01Advanced context management via GEMINI.md and settings.json hierarchy

02Headless automation configuration with auto_edit and yolo modes

03Precision code editing logic using smartEdit fuzzy matching

04Session persistence for multi-step agentic workflows and resuming tasks

051 GitHub stars

06Model Context Protocol (MCP) integration for external service connectivity

Use Cases

01Integrating Gemini CLI with external tools like GitHub and Postgres via MCP

02Building automated Git commit generators and linter auto-fix pipelines

03Creating sandboxed CI/CD agents for autonomous unit test generation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add spillwavesolutions/mastering-gemini-cli-agentic-skill mastering-gemini-cli

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Advanced context management via GEMINI.md and settings.json hierarchy

02Headless automation configuration with auto_edit and yolo modes

03Precision code editing logic using smartEdit fuzzy matching

04Session persistence for multi-step agentic workflows and resuming tasks

051 GitHub stars

06Model Context Protocol (MCP) integration for external service connectivity

Use Cases

01Integrating Gemini CLI with external tools like GitHub and Postgres via MCP

02Building automated Git commit generators and linter auto-fix pipelines

03Creating sandboxed CI/CD agents for autonomous unit test generation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add spillwavesolutions/mastering-gemini-cli-agentic-skill mastering-gemini-cli

For use in Claude.ai and ChatGPT

Download Skill