Community Tutorials

Beginner tutorials assume no prior experience with Gemini CLI. They focus on installation, basic prompting, reading and writing files, and understanding the core concepts that all more advanced usage is built on. After completing the beginner category you will be comfortable running Gemini CLI from the terminal and performing everyday tasks like summarizing documents, explaining code, and generating simple scripts.

• Installing Gemini CLI and setting up your API key
• Your first prompts: summarize, explain, and translate
• Reading files and saving outputs
• Understanding Gemini model options and when to use each
• Common beginner mistakes and how to avoid them

Intermediate tutorials are aimed at developers who are comfortable with the basics and want to build more powerful workflows. Topics include shell scripting with Gemini CLI, processing multiple files, integrating with CI/CD pipelines, and creating reusable automation templates. By the end of this category you will be able to automate repetitive development tasks and reduce the manual work involved in code reviews, documentation updates, and test generation.

• Shell scripting patterns for batch file processing
• Scheduling Gemini CLI jobs with cron
• GitHub Actions and GitLab CI integration
• Building a documentation generation pipeline
• Automated code review workflows

Advanced tutorials are for engineers who want to push beyond the defaults and build deeply integrated AI tooling. This category covers the Model Context Protocol (MCP), building custom MCP servers that expose domain-specific tools to the model, multi-agent workflows, and integrating Gemini CLI with databases, APIs, and third-party services. These tutorials assume strong familiarity with JavaScript/TypeScript and an understanding of REST API design.

• Understanding the Model Context Protocol (MCP)
• Building your first custom MCP server
• Connecting Gemini CLI to your database
• Building a multi-agent code review system
• Packaging and publishing a Gemini CLI plugin

Building a Code Review Bot

Learn how to create an automated code review bot that integrates with your GitHub workflow. This tutorial walks through setting up a GitHub Actions workflow, configuring Gemini CLI to analyze pull request diffs, posting review comments automatically, and fine-tuning the review prompt to match your team's coding standards.

Custom MCP Server for Database Operations

Step-by-step guide to creating a custom MCP server that can interact with your database. You will build a TypeScript MCP server that exposes SQL query and schema inspection tools to Gemini CLI, enabling natural-language database queries without writing any SQL manually.

Documentation Generation Workflow

Automate your documentation workflow with Gemini CLI and keep your docs always up-to-date. This tutorial covers scanning your source tree, generating Markdown docs per module, building a documentation site index, and wiring everything into a pre-commit hook so docs are updated automatically every time you commit new code.

Step 1 — Choose your topic

Pick a topic that you have direct experience with and that is not already covered by an existing tutorial. Browse the current tutorial list and the open GitHub issues labelled "tutorial request" to find gaps the community most needs filled.

Step 2 — Write in Markdown

Tutorials should be written in standard Markdown. Include the following sections:

• Title — clear, action-oriented (e.g., "Building a Changelog Bot with Gemini CLI")
• Overview — what the reader will build or learn
• Prerequisites — skill level, tools, and versions required
• Step-by-step instructions — numbered steps with tested code examples
• Expected output — show what success looks like
• Troubleshooting — common failure modes and fixes

Step 3 — Test all code examples

Run every command and code snippet from scratch in a clean environment before submitting. Untested code examples are the most common reason for tutorial rejections. Pin the Gemini CLI version in your tutorial so readers know which version the examples were tested with.

Step 4 — Submit via pull request

Fork the community tutorials repository on GitHub, add your tutorial file under the appropriate skill-level directory, and open a pull request with a brief description of what the tutorial covers. The review team aims to respond within 5 business days.