OpenDNDApps

ogt-cli-gemini

Run Gemini CLI for AI-powered tasks, code understanding, file operations, and automation. Free tier with Google OAuth (included in Gemini Advanced). Use for fast generation, bulk content, debugging, and research. Preferred for load balancing sub-agent work (35% weight).

OpenDNDApps 0 Updated 3mo ago

Resources

1
GitHub

Install

npx skillscat add opendndapps/ogt-skills/ogt-cli-gemini

Install via the SkillsCat registry.

SKILL.md

Gemini CLI Skill

Run Google's Gemini CLI to leverage Gemini 3 models directly from the terminal.

When to Use

  • Code understanding and generation
  • Multi-file analysis and refactoring
  • Debugging with natural language
  • Research with Google Search grounding
  • Automation and scripting tasks
  • Tasks benefiting from 1M token context window

Quick Start

Interactive mode

gemini

One-shot query (non-interactive)

gemini -p "Your prompt here"

With specific model

gemini -p "Complex task" -m gemini-2.5-pro
gemini -p "Quick task" -m gemini-2.5-flash

JSON output (for parsing)

gemini -p "Your prompt" --output-format json

Stream JSON (real-time events)

gemini -p "Run tests and deploy" --output-format stream-json

Installation

# npm (recommended)
npm install -g @google/gemini-cli

# Homebrew (macOS/Linux)
brew install gemini-cli

# Run without installing
npx @google/gemini-cli

Key Options

Option Description
-p, --prompt Non-interactive mode, print response and exit
-m, --model Model: gemini-2.5-flash, gemini-2.5-pro
--output-format text (default), json, stream-json
--include-directories Include additional directories
--yolo Auto-approve tool calls (use with caution)
--sandbox Run in sandbox mode (safer)

Authentication

Option 1: Google OAuth (Recommended)

gemini
# Follow browser auth flow on first run
  • Free tier: 60 req/min, 1,000 req/day
  • No API key needed

Option 2: Gemini API Key

export GEMINI_API_KEY="YOUR_API_KEY"
gemini

Get key from: https://aistudio.google.com/apikey

Option 3: Vertex AI (Enterprise)

export GOOGLE_API_KEY="YOUR_API_KEY"
export GOOGLE_GENAI_USE_VERTEXAI=true
gemini

Working with Files

Gemini CLI can read and work with files in the current directory:

# Analyze codebase
cd /path/to/project && gemini -p "Explain this codebase architecture"

# Include multiple directories
gemini --include-directories ../lib,../docs -p "Review the API"

# Pipe file content
cat myfile.py | gemini -p "Review this code"

Built-in Tools

Gemini CLI has built-in capabilities:

  • Google Search: Ground responses with real-time web data
  • File Operations: Read, write, edit files
  • Shell Commands: Execute terminal commands
  • Web Fetching: Retrieve content from URLs

For Sub-Agent Delegation

When spawning Gemini CLI for background work:

# Run with timeout
timeout 300 gemini -p "Complete this task..." 2>&1

# Capture structured output
gemini -p "Generate a report" --output-format json > result.json

# Auto-approve for automation (careful!)
gemini -p "Run the build" --yolo

Script: Run Gemini Task

Use the bundled script for reliable sub-agent execution:

node {baseDir}/scripts/run-gemini-task.cjs "Your task prompt" [options]

Options:

  • --model <model> — Model to use (default: gemini-2.5-flash)
  • --timeout <secs> — Timeout in seconds (default: 300)
  • --json — Output in JSON format
  • --workdir <path> — Working directory

The script handles:

  • Timeout protection
  • Error capture and formatting
  • Clean output for parsing
  • Exit code propagation

Model Selection

Model Best For
gemini-2.5-flash Fast, cost-effective, everyday tasks
gemini-2.5-pro Complex reasoning, large context, nuanced tasks

Context File (GEMINI.md)

Create a GEMINI.md file in your project root to customize behavior:

# Project: My App

## Guidelines
- Use TypeScript for all new code
- Follow existing patterns in src/
- Run tests before committing

## Architecture
- Frontend: React + Vite
- Backend: Node.js + Express

Gemini will automatically read this for project context.

Tips

  1. Use -p for scripts — Non-interactive mode for automation
  2. Set timeouts for long-running tasks
  3. Use --output-format json when parsing results programmatically
  4. Working directory matters — Gemini sees files relative to cwd
  5. Use --yolo carefully — Auto-approves all tool calls
  6. Google Search grounding — Great for real-time info queries

Rate Limits (Free Tier)

  • 60 requests per minute
  • 1,000 requests per day
  • 1M token context window

Comparison with Claude CLI

Feature Gemini CLI Claude CLI
Free tier ✅ 1000/day ✅ Limited
Context window 1M tokens 200K tokens
Google Search ✅ Built-in
Shell execution ✅ Built-in ✅ Built-in
MCP support
Auth Google OAuth Anthropic OAuth

Troubleshooting

Authentication Issues

# Clear cached auth
rm -rf ~/.gemini-cli

# Re-authenticate
gemini

Command Not Found

# Check installation
which gemini

# Reinstall
npm install -g @google/gemini-cli