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🦀 ClawHub

Gemini CLI

by @bigbubbaagent-bot

Gemini CLI tool for building, debugging & deploying with AI. Use when querying codebases, generating apps from images/PDFs, automating workflows, or performi...

Versionv1.0.0

Downloads837

Installs2

#coding #devops #database #legal #automation

View on ClawHub →

TERMINAL

clawhub install gemini-cli

📖 About This Skill

name: gemini-cli description: Gemini CLI tool for building, debugging & deploying with AI. Use when querying codebases, generating apps from images/PDFs, automating workflows, or performing AI-powered code tasks from the command line. required_binaries: - gemini - node required_credentials: - gemini_api_key metadata: openclaw: type: ai-cli-tool trust_model: google-api-managed requires: binaries: - gemini - node system_tools: - bash credentials: gemini_api_key: Gemini API Key from Google AI Studio or Google Cloud install: - id: gemini-cli package: "@google/gemini-cli" kind: npm command: npm install -g @google/gemini-cli required: true - id: node package: nodejs kind: system command: Usually pre-installed or via brew/apt required: true security: external_binary: true binary_name: gemini manages_credentials: false credential_storage: environment-variable credential_scope: local-process capabilities: - query-codebases - generate-from-images - generate-from-pdfs - automate-workflows - ai-powered-debugging - interactive-ai-shell limitations: - requires-internet-connection - requires-valid-gemini-api-key - rate-limited-by-google-quotas

Gemini CLI Skill

A comprehensive guide for using the Gemini CLI tool to build, debug & deploy with AI directly from the command line.

What It Does

Gemini CLI enables command-line access to Google's Gemini models for:

Query Codebases — Analyze and understand large codebases

Generate from Images — Create code, docs, or apps from screenshot/images

Generate from PDFs — Extract and build from PDF documents

Automate Workflows — Chain AI tasks for complex automation

Interactive Shell — Chat with Gemini about your project

Debugging — Get AI-powered debugging and code review

Perfect for developers who want to leverage AI without leaving the terminal.

⚠️ Trust Model & Security Declaration

Metadata Declaration:

Type: AI CLI tool (Google-managed, official)

External Binary: gemini (official Google package)

Manages Credentials: No (credentials stored locally as env var)

Credential Storage: Environment variable (GEMINI_API_KEY)

Capabilities: Code analysis, generation, automation

Limitations: Requires internet, API quota limits apply

Authentication Model:

This tool uses your Gemini API Key passed as an environment variable:

GEMINI_API_KEY= gemini

Key Points:

✅ Official Google tool (not third-party)

✅ Credentials stored as environment variable (not in tool)

✅ You control scope: set env var only when needed

✅ No persistent credential storage in ~/.gemini/ directory

✅ Direct calls to Gemini API endpoints (googleapis.com)

What This Skill Does:

✅ Queries your codebase and documents with Gemini models

✅ Generates code/apps from images and PDFs

✅ Runs automated workflows using AI

✅ Provides interactive debugging and code review

❌ Does NOT store credentials

❌ Does NOT cache sensitive data

❌ Does NOT modify your system beyond running commands

Requirements

Binaries (required):

gemini — Gemini CLI tool (installed via npm)

node — Node.js 20.0.0+ (usually pre-installed)

Credentials (environment variable):

GEMINI_API_KEY — Your Gemini API key from Google AI Studio or Google Cloud

System Requirements:

macOS 15+, Windows 11 24H2+, or Ubuntu 20.04+

4GB+ RAM (casual usage), 16GB+ (power usage with large codebases)

Internet connection required

Optional:

bash, zsh, or PowerShell — Any modern shell

Installation & Setup

1. Check Installation

Gemini CLI is usually pre-installed:

gemini --version

If not installed:

npm install -g @google/gemini-cli
OR
brew install gemini-cli

2. Set API Key (One-time per session)

export GEMINI_API_KEY=""

Or use it inline:

GEMINI_API_KEY="" gemini

To find your API key:

Go to https://aistudio.google.com/app/apikey

Create or copy your API key

Store securely (don't commit to git)

3. Verify Installation

gemini --version
gemini --help

Quick Start

Interactive Shell (Ask Gemini Questions)

gemini chat

Then type your questions about code, architecture, debugging, etc.

Query a Codebase

gemini code --prompt "What does this function do?"

Generate from Image

gemini create --from-image ./screenshot.png --prompt "Create a React component from this design"

Generate from PDF

gemini create --from-pdf ./document.pdf --prompt "Create an API spec based on this document"

Automate a Workflow

gemini workflow --steps "1) analyze code, 2) identify issues, 3) suggest fixes"

Get Help

gemini --help
gemini  --help

Common Commands

Interactive

gemini chat                    # Start interactive chat
gemini chat --context ./src    # Chat with codebase context

Code Analysis

gemini code --prompt "analyze" ./file.js
gemini code --explain ./function.ts
gemini code --review ./pull_request.patch

Code Generation

gemini create --from-image ./design.png
gemini create --from-pdf ./spec.pdf
gemini create --template react --prompt "counter app"

Batch Operations

gemini batch --input ./tasks.json --output ./results.json

Configuration

API Key: Set via GEMINI_API_KEY environment variable

Temp Storage: Uses system temp directory (auto-cleaned)

No persistent config: Unlike mirocli, Gemini CLI doesn't store auth locally

To persist API key across sessions (optional):

Add to your ~/.bashrc, ~/.zshrc, or equivalent:

export GEMINI_API_KEY=""

⚠️ Security warning: Only do this if your shell profile is secure and not synced to public repos.

Global Options

--version              # Show version
--help                # Show help
--verbose             # Verbose output
--api-key        # Pass API key directly (overrides env var)
--model        # Specify Gemini model (default: gemini-2.5-pro)

Help & Documentation

gemini --help                  # Global help
gemini  --help        # Command-specific help

Official Docs: https://geminicli.com/docs

Tips & Tricks

1. Use with your codebase:

   cd /path/to/your/project
   gemini chat --context ./src

2. Chain commands:

   gemini code --review ./changes.patch | tee review.txt

3. Batch process files:

   for file in src/*.js; do
     gemini code --explain "$file" > "docs/${file}.md"
   done

4. Store prompts in files:

   cat prompt.txt | gemini chat

When to Use Gemini CLI vs Other Tools

| Task | Gemini CLI | Cursor/IDE | Web UI | |------|-----------|-----------|--------| | Quick code questions | ✅ Fast | ✅ Integrated | ❌ Context switch | | Large codebase analysis | ✅ Better | ✅ Native | ❌ Limited | | Generate from images | ✅ Works | ✅ Works | ✅ Works | | Batch automation | ✅ Perfect | ❌ Manual | ❌ Manual | | Interactive chat | ✅ Terminal | ✅ IDE | ✅ Browser | | Scripting workflows | ✅ Yes | ❌ No | ❌ No |

Status & Next Steps

✅ Installation: Pre-installed (v0.28.2)

✅ Configuration: Ready to use with GEMINI_API_KEY environment variable

✅ Authentication: Set env var before use (no interactive steps needed)

Testing: Run gemini --help to verify installation

Usage: Set API key and start using:

export GEMINI_API_KEY="your-key-here"
gemini chat

Setup Date: 2026-03-14 Status: Ready (no authentication required — env var based)

💡 Examples