skill-creator
π―Skillfrom google-gemini/gemini-cli
Generates Claude Code skills by automatically creating boilerplate code, configuration files, and project structure based on user-specified requirements and specifications.
Part of
google-gemini/gemini-cli(4 items)
Installation
npx @google/gemini-clinpm install -g @google/gemini-clinpm install -g @google/gemini-cli@previewnpm install -g @google/gemini-cli@latestnpm install -g @google/gemini-cli@nightly+ 1 more commands
Skill Details
Overview
# Gemini CLI
[](https://github.com/google-gemini/gemini-cli/actions/workflows/ci.yml)
[](https://github.com/google-gemini/gemini-cli/actions/workflows/chained_e2e.yml)
[](https://www.npmjs.com/package/@google/gemini-cli)
[](https://github.com/google-gemini/gemini-cli/blob/main/LICENSE)
[](https://codewiki.google/github.com/google-gemini/gemini-cli?utm_source=badge&utm_medium=github&utm_campaign=github.com/google-gemini/gemini-cli)

Gemini CLI is an open-source AI agent that brings the power of Gemini directly
into your terminal. It provides lightweight access to Gemini, giving you the
most direct path from your prompt to our model.
Learn all about Gemini CLI in our [documentation](https://geminicli.com/docs/).
π Why Gemini CLI?
- π― Free tier: 60 requests/min and 1,000 requests/day with personal Google
account.
- π§ Powerful Gemini 3 models: Access to improved reasoning and 1M token
context window.
- π§ Built-in tools: Google Search grounding, file operations, shell
commands, web fetching.
- π Extensible: MCP (Model Context Protocol) support for custom
integrations.
- π» Terminal-first: Designed for developers who live in the command line.
- π‘οΈ Open source: Apache 2.0 licensed.
π¦ Installation
Pre-requisites before installation
- Node.js version 20 or higher
- macOS, Linux, or Windows
Quick Install
#### Run instantly with npx
```bash
# Using npx (no installation required)
npx @google/gemini-cli
```
#### Install globally with npm
```bash
npm install -g @google/gemini-cli
```
#### Install globally with Homebrew (macOS/Linux)
```bash
brew install gemini-cli
```
#### Install globally with MacPorts (macOS)
```bash
sudo port install gemini-cli
```
#### Install with Anaconda (for restricted environments)
```bash
# Create and activate a new environment
conda create -y -n gemini_env -c conda-forge nodejs
conda activate gemini_env
# Install Gemini CLI globally via npm (inside the environment)
npm install -g @google/gemini-cli
```
Release Cadence and Tags
See [Releases](./docs/releases.md) for more details.
Preview
New preview releases will be published each week at UTC 2359 on Tuesdays. These
releases will not have been fully vetted and may contain regressions or other
outstanding issues. Please help us test and install with preview tag.
```bash
npm install -g @google/gemini-cli@preview
```
Stable
- New stable releases will be published each week at UTC 2000 on Tuesdays, this
will be the full promotion of last week's preview release + any bug fixes
and validations. Use latest tag.
```bash
npm install -g @google/gemini-cli@latest
```
Nightly
- New releases will be published each day at UTC 0000. This will be all changes
from the main branch as represented at time of release. It should be assumed
there are pending validations and issues. Use nightly tag.
```bash
npm install -g @google/gemini-cli@nightly
```
π Key Features
Code Understanding & Generation
- Query and edit large codebases
- Generate new apps from PDFs, images, or sketches using multimodal capabilities
- Debug issues and troubleshoot with natural language
Automation & Integration
- Automate operational tasks like querying pull requests or handling complex
rebases
- Use MCP servers to connect new capabilities, including
[media generation with Imagen, Veo or Lyria](https://github.com/GoogleCloudPlatform/vertex-ai-creative-studio/tree/main/experiments/mcp-genmedia)
- Run non-interactively in scripts for workflow automation
Advanced Capabilities
- Ground your queries with built-in
[Google Search](https://ai.google.dev/gemini-api/docs/grounding) for real-time
information
- Conversation checkpointing to save and resume complex sessions
- Custom context files (GEMINI.md) to tailor behavior for your projects
GitHub Integration
Integrate Gemini CLI directly into your GitHub workflows with
[Gemini CLI GitHub Action](https://github.com/google-github-actions/run-gemini-cli):
- Pull Request Reviews: Automated code review with contextual feedback and
suggestions
- Issue Triage: Automated labeling and prioritization of GitHub issues based
on content analysis
- On-demand Assistance: Mention
@gemini-cliin issues and pull requests
for help with debugging, explanations, or task delegation
- Custom Workflows: Build automated, scheduled and on-demand workflows
tailored to your team's needs
π Authentication Options
Choose the authentication method that best fits your needs:
Option 1: Login with Google (OAuth login using your Google Account)
β¨ Best for: Individual developers as well as anyone who has a Gemini Code
Assist License. (see
[quota limits and terms of service](https://cloud.google.com/gemini/docs/quotas)
for details)
Benefits:
- Free tier: 60 requests/min and 1,000 requests/day
- Gemini 3 models with 1M token context window
- No API key management - just sign in with your Google account
- Automatic updates to latest models
#### Start Gemini CLI, then choose _Login with Google_ and follow the browser authentication flow when prompted
```bash
gemini
```
#### If you are using a paid Code Assist License from your organization, remember to set the Google Cloud Project
```bash
# Set your Google Cloud Project
export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"
gemini
```
Option 2: Gemini API Key
β¨ Best for: Developers who need specific model control or paid tier access
Benefits:
- Free tier: 1000 requests/day with Gemini 3 (mix of flash and pro)
- Model selection: Choose specific Gemini models
- Usage-based billing: Upgrade for higher limits when needed
```bash
# Get your key from https://aistudio.google.com/apikey
export GEMINI_API_KEY="YOUR_API_KEY"
gemini
```
Option 3: Vertex AI
β¨ Best for: Enterprise teams and production workloads
Benefits:
- Enterprise features: Advanced security and compliance
- Scalable: Higher rate limits with billing account
- Integration: Works with existing Google Cloud infrastructure
```bash
# Get your key from Google Cloud Console
export GOOGLE_API_KEY="YOUR_API_KEY"
export GOOGLE_GENAI_USE_VERTEXAI=true
gemini
```
For Google Workspace accounts and other authentication methods, see the
[authentication guide](./docs/get-started/authentication.md).
π Getting Started
Basic Usage
#### Start in current directory
```bash
gemini
```
#### Include multiple directories
```bash
gemini --include-directories ../lib,../docs
```
#### Use specific model
```bash
gemini -m gemini-2.5-flash
```
#### Non-interactive mode for scripts
Get a simple text response:
```bash
gemini -p "Explain the architecture of this codebase"
```
For more advanced scripting, including how to parse JSON and handle errors, use
the --output-format json flag to get structured output:
```bash
gemini -p "Explain the architecture of this codebase" --output-format json
```
For real-time event streaming (useful for monitoring long-running operations),
use --output-format stream-json to get newline-delimited JSON events:
```bash
gemini -p "Run tests and deploy" --output-format stream-json
```
Quick Examples
#### Start a new project
```bash
cd new-project/
gemini
> Write me a Discord bot that answers questions using a FAQ.md file I will provide
```
#### Analyze existing code
```bash
git clone https://github.com/google-gemini/gemini-cli
cd gemini-cli
gemini
> Give