Gemini CLI Documentation llms.txt · AI Docs Browser · mdream
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# Gemini CLI Documentation llms.txt
Browse Gemini CLI Documentation documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools.
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llms.txt
Guiding principle: Issues and pull requests
Detailed automation workflows
Current releases
Announcements: v0.50.0 - 2026-07-08
#28113
#28132
Announcements: v0.45.0 - 2026-06-03
#27345
#27288
#27461
Announcements: v0.44.0 - 2026-05-27
#26714
#21090
#27121
Announcements: v0.43.0 - 2026-05-22
#26480
#26514
#26888
Announcements: v0.42.0 - 2026-05-12
#26338
#26307
#26454
Announcements: v0.41.0 - 2026-05-05
#24174
#25814
#25720
Announcements: v0.40.0 - 2026-04-28
#15504
#25716
#25498
Announcements: v0.39.0 - 2026-04-23
#25148
#25058
#25079
Announcements: v0.38.0 - 2026-04-14
#24079
#24483
#24793
#23257
Announcements: v0.37.0 - 2026-04-08
#23691
#24079
#23805
Announcements: v0.36.0 - 2026-04-01
#21807
#23286
#23265
#22951
Announcements: v0.35.0 - 2026-03-24
#21972
#22026
#22680
#22736
Announcements: v0.34.0 - 2026-03-17
#21713
#20735
Announcements: v0.33.0 - 2026-03-11
#20622
#20988
#20853
Announcements: v0.32.0 - 2026-03-03
#19665
#20343
#20465
#20082
#20229
Announcements: v0.31.0 - 2026-02-27
#19676
#19284
#20024
#19567
Announcements: v0.30.0 - 2026-02-25
#18861
#18500
#19064
#18931
Announcements: v0.29.0 - 2026-02-17
#18324
#18414
#18686
#18311
Announcements: v0.28.0 - 2026-02-10
#15047
#17976
#17569
Announcements: v0.27.0 - 2026-02-03
#17078
#15720
#17144
Announcements: v0.26.0 - 2026-01-27
#16638
#15717
#16895
Announcements: v0.25.0 - 2026-01-20
@joshualitt
@NTaylorMullen
@sehoon38
Announcements: v0.24.0 - 2026-01-14
@adamweidman
@galz10
@NTaylorMullen
@NTaylorMullen
@scidomino
@NTaylorMullen
Announcements: v0.23.0 - 2026-01-07
Agent Skills
@sgeraldes
@jacob314
@CN-Scars
Announcements: v0.22.0 - 2025-12-22
Announcements: v0.21.0 - 2025-12-15
Gemini 3 Flash is now available in Gemini CLI
Announcements: v0.20.0 - 2025-12-01
@jackwotherspoon
@allenhutchison
Announcements: v0.19.0 - 2025-11-24
@benbrandt
Announcements: v0.18.0 - 2025-11-17
policy engine documentation
@scidomino
@JayadityaGit
Announcements: v0.16.0 - 2025-11-10
https://github.com/gemini-cli-extensions/datacommons
Announcements: v0.15.0 - 2025-11-03
Announcements: v0.12.0 - 2025-10-27
Announcements: v0.11.0 - 2025-10-20
@anj-s
@srivatsj
@akhil29
@abhipatel12
@capachino
Announcements: v0.10.0 - 2025-10-13
@galz10
@srivatsj
@jerop
Announcements: v0.9.0 - 2025-10-06
@jakemac53
@chrstnb
@jerop
@sgnagnarella
Announcements: v0.8.0 - 2025-09-29
@mistergarrison
@Fridayxiao
Announcements: v0.7.0 - 2025-09-22
@skeshive
@jerop
@anj-s
@rramkumar1
@scidomino
@capachino
Announcements: v0.6.0 - 2025-09-15
@jerop
@bulkypanda
@rramkumar1
@Aisha630
@masiafrest
@SandyTao520
@jerop
@miguelsolorio
Announcements: v0.5.0 - 2025-09-08
@jackwotherspoon
@allenhutchison
@SandyTao520
@silviojr
@JayadityaGit
@gsquared94
@chrstnb
@skeshive
https://codelabs.developers.google.com/gemini-cli-hands-on
Announcements: v0.4.0 - 2025-09-01
@miguelsolorio
@scidomino
@JayadityaGit
@abhipatel12
@psinha40898
@allenhutchison
@leehagoodjames
@deepankarsharma
@swissspidy
Install
Get started
Use Gemini CLI
Features
Configuration
Reference
Resources
Development
Releases
The goal
Level 1: Automated gates (must pass)
Level 2: Manual verification and dogfooding
Level 3: Telemetry and data review
The "go/no-go" decision
@google/gemini-cli
@google/gemini-cli-core
NPM workspaces
Highlights
What's Changed
#28116
#28132
#28113
#28147
Highlights
What's Changed
#28150
#28131
#28151
#28145
#27966
#28053
#28015
#28233
#28167
#28221
#28299
#27971
Admin Controls vs. System Settings
Available Controls
CLI commands
Interactive commands
CLI Options
Model selection
Extensions management
MCP server management
Skills management
Tracing
Agent Client Protocol (ACP)
Architecture and protocol basics
Capabilities and supported methods
Debugging and telemetry
Overview
Prerequisites
How to enable Auto Memory
How Auto Memory works
How to review extracted items
How to disable Auto Memory
Data and privacy
Limitations
Next steps
Agent Skills
memory management tutorial
Settings
dev vs prod environment
Release cadence and tags
Weekly release promotion
Manual releases
Rollback/rollforward
Patching
Release validation
Local testing and validation: Changes to the packaging and publishing process
Release deep dive
Notifications
How it works
Enabling the feature
Using the /restore command
How it works
How to use .geminiignore
Understand the context hierarchy
Manage context with the /memory command
Modularize context with imports
Customize the context file name
Next steps
Ignoring files
Memory tool
Custom commands
Quickstart: Create a skill with a prompt
Manual creation
Gemini CLI extension
Core concepts
Advanced development
Next steps
Skill best practices
Agent Skills overview
Get started with Agent Skills
1. System Overview
2. Configuration Primitives
3. Resolution Strategy
4. Configuration Reference
5. Practical Examples
File locations and precedence
Naming and namespacing
TOML file format (v1)
Handling arguments
Example: A "Pure Function" refactoring command
Before you begin
Code contribution process
GEMINI.md
Documentation contribution process
FAQ
an issue
Overview
Building the tests
Running the tests
Running a specific set of tests
Memory regression tests
Performance regression tests
Diagnostics
Linting and formatting
Directory structure
Continuous integration
Centralized configuration: The system settings file
User isolation in shared environments
Restricting tool access
Managing custom tools (MCP servers)
Enforcing sandboxing for security
Controlling network access via proxy
Telemetry and auditing
Authentication
Putting it all together: example system settings.json
How to enable Git worktrees
How to use Git worktrees
How to exit a Git worktree session
Resuming work in a Git worktree
Managing Git worktrees manually
Technical reference
Exit codes
Next steps
Automation tutorial
CLI reference
How to use the /model command
Best practices for model selection
How it works
Requirements
Enable notifications
Types of notifications
Next steps
Plan Mode
settings
How to enter Plan Mode
How to use Plan Mode
How to exit Plan Mode
Tool Restrictions
glob
get_internal_docs
cli_help
ask_user
MCP resource tools
custom plans directory
activate_skill
Customization and best practices
Commands
Planning workflows
enter_plan_mode
ask_user
custom plan directory and policies
exit_plan_mode
exit_plan_mode
custom policies
Automatic Model Routing
Cleanup
session retention
Non-interactive execution
YOLO mode
Usage
Interface
Key considerations
Enabling model steering
Using model steering
How it works
Next steps
Plan Mode
Agent Skills
Automatic saving
Resuming sessions
Parallel sessions with Git worktrees
Managing sessions
Configuration
Next steps
Memory tool
Checkpoint
CLI reference
Prerequisites
Overview of sandboxing
Quickstart
Configuration
Sandboxing methods
Tool sandboxing
Sandbox expansion
Running inside a Docker container
Advanced settings
Troubleshooting
Security notes
Related documentation
Configuration
Commands
Troubleshooting
Settings reference
How it works
Discovery tiers
Key benefits
Managing skills
Next steps
Get started with Agent Skills
Creating Agent Skills
Using Agent Skills
Best practices
Overview
How to enable
Quick examples
UI indicator
Variable Substitution
Export the default prompt (recommended)
Best practices: system.md vs GEMINI.md
Troubleshooting
Design for discovery
Progressive disclosure
Degrees of freedom
Bundle resources effectively
Anatomy of a great skill
Security and privacy
OpenTelemetry integration
Configuration
Google Cloud telemetry
Logs Explorer
Metrics Explorer
Trace Explorer
View and analyze logs with Logs Explorer
Create charts with Metrics Explorer
Find and explore traces
Local telemetry
Client identification
Logs, metrics, and traces
Available themes
Custom color themes
configuration precedence
Dark themes
Light themes
Enabling the feature
How it works: The trust dialog
Understanding folder contents: The discovery phase
Why trust matters: The impact of an untrusted workspace
Headless and automated environments
Overriding the trust file location
Managing your trust settings
The trust check process (advanced)
Discovery tiers
In-session management
Terminal utilities
Security and consent
Next steps
Get started with Agent Skills
Creating Agent Skills
Skill best practices
What is this?
Quick start
Commands
Verifying it works
Setup flags
How it works under the hood
Disabling
Advanced setup
Navigating this section
Role of the core
Security considerations
Chat history compression
Model fallback
File discovery service
Memory discovery service
Citations
Manual Setup
Configuration
What are subagents?
How to use subagents
Built-in subagents
Creating custom subagents
Subagent tool isolation
Policy Engine
Managing subagents
Remote subagents (Agent2Agent)
Extension subagents
Disabling subagents
Choose your path
Manage extensions
Installation
Manage extensions
Extension format
geminicli.com/extensions
settings.json file
Variables
ADK Samples (Python)
ADK Python Contributing Samples
Proxy support
Defining remote subagents
Authentication
Managing Subagents
Disabling remote agents
Development
Security
Release
Test and verify
Troubleshooting
List your extension in the gallery
Release through a Git repository
Release through GitHub Releases
Migrate an extension repository
How updates work
Choose your authentication method
(Recommended) Sign in with Google
Use Gemini API key
Use Vertex AI
Set your Google Cloud project
Persisting environment variables
Running in Google Cloud environments
Running in headless mode
Use Gemini API Key
Vertex AI
What's next?
Gemini CLI: Quotas and Pricing
Gemini CLI: Terms of Service and Privacy Notice
Prerequisites
Extension features
Step 1: Create a new extension
Step 2: Understand the extension files
Step 3: Add extension settings
Step 4: Link your extension
Step 5: Add a custom command
Step 6: Add a custom GEMINI.md
(Optional) Step 7: Add an Agent Skill
Step 8: Release your extension
Next steps
Extension reference
Best practices
How to get started with Gemini 3 on Gemini CLI
How to enable Gemini 3 with Gemini CLI on Gemini Code Assist
Next steps
Recommended system specifications
Gemini Code Assist supported locations
Install Gemini CLI
Run Gemini CLI
Releases
What are hooks?
Core concepts
Configuration
Security and risks
Managing hooks
Quickstart: Install, authenticate, configure, and use Gemini CLI
Install
Authenticate
Configure
Use
Check usage and quota
Next steps
File management
Shell commands
Global hook mechanics
Configuration schema
Base input schema
Common output fields
Tool hooks
Tools Reference
Agent hooks
Model hooks
Lifecycle & system hooks
Stable Model API
VS Code companion extension
VS Code Marketplace
Open VSX Registry
Agent Client Protocol (ACP)
Using with sandboxing
Troubleshooting
I. The communication interface
II. The context interface
III. The diffing interface
IV. The lifecycle interface
Prerequisites
Quick start
Exit Code Strategies
Practical examples
Complete example: Smart Development Workflow Assistant
Packaging as an extension
Performance
Debugging
Development
Hook security
Troubleshooting
Authoring secure hooks
Privacy considerations
Description
Usage
Behavior
Next steps
Use Agent Skills
Build agent skills
ask_user (Ask User)
Usage Examples
Technical reference
Next steps
File management tutorial
Trusted folders
Description
Usage
Behavior
Next steps
Command reference
Configuration guide
1. list_mcp_resources (ListMcpResources)
2. read_mcp_resource (ReadMcpResource)
Technical reference
Technical behavior
Use cases
Next steps
Memory management guide
Project context (GEMINI.md)
1. enter_plan_mode (EnterPlanMode)
2. exit_plan_mode (ExitPlanMode)
What is an MCP server?
Core integration architecture
Working with MCP resources
How to set up your MCP server
Discovery process deep dive
Tool execution flow
How to interact with your MCP server
Status monitoring and troubleshooting
Important notes
Security and environment sanitization
Returning rich content from tools
MCP prompts as slash commands
Managing MCP servers with gemini mcp
Troubleshooting and Diagnostics
Instructions
Technical reference
Configuration
Interactive commands
Important notes
Environment variables
Command restrictions
Policy Engine
Use cases
Next steps
Shell commands tutorial
Sandboxing
Technical reference
Technical behavior
Use cases
Next steps
Task planning tutorial
Session management
Technical reference
Technical behavior
Use cases
Next steps
Task planning tutorial
Session management
Technical reference
Technical behavior
Plan Mode
Use cases
Next steps
Web tools guide
Web search tool reference
Slash commands (/)
Gemini CLI Extensions
Checkpointing documentation
Session Management
settings documentation
Input prompt shortcuts
At commands (@)
Shell mode and passthrough commands (!)
Technical reference
Technical behavior
Use cases
Next steps
Web tools guide
Web fetch tool reference
Configuration layers
Settings files
Custom sandbox profiles
Shell history
Environment variables and .env files
Command-line arguments
Context files (hierarchical instructional context)
Memory Import Processor documentation
Sandboxing
Usage statistics
Customizing Keybindings
Additional context-specific shortcuts
collaboratively edit or comment
Vi mode shortcuts
Limitations
Windows Terminal
Terminal
Overview
Syntax
Supported path formats
Examples
Safety features
Error handling
Code region detection
Import tree structure
Comparison to Claude Code's /memory (claude.md) approach
API reference
Best Practices
Troubleshooting
How to use Gemini CLI's tools
Sandboxing
Trusted folders
How to manage tools
Available tools
Under the hood
Next steps
Set up an MCP server
Agent Skills
Command reference
Quick start
Core concepts
Customizing Plan Mode Policies
Rule matching
Configuration
TOML rule schema
Default policies
General issues
Installation and updates
Platform-specific issues
Configuration
Google AI Pro/Ultra and subscription FAQs
Not seeing your question?
Overview
Free usage
Paid tier: Higher limits for a fixed cost
the Google One page
Pay as you go
Gemini for workspace plans
Check usage and limits
Tips to avoid high costs
Supported authentication methods
1. If you have signed in with your Google account to Gemini Code Assist
Gemini Code Assist for individuals Privacy Notice
Google Privacy Policy*
Google Cloud Privacy Notice
2. If you have signed in with a Gemini API key to the Gemini Developer API
Gemini API Terms of Service
Google Privacy Policy
3. If you have signed in with a Gemini API key to the Vertex AI GenAI API
Google Cloud Platform Service Terms
Google Cloud Privacy Notice
Usage statistics opt-out
Authentication or login errors
Common error messages and solutions
Exit codes
Debugging tips
Existing GitHub issues similar to yours or creating new issues
Method 1: Using npx
Method 2: Using npm (global install)
Method 3: Homebrew
Method 4: MacPorts
Prerequisites
Why headless mode?
How to use headless mode
How to pipe input to Gemini CLI
Use Gemini CLI output in scripts
Extract structured JSON data
Build your own custom AI tools
Next steps
Headless mode reference
Shell commands
Prerequisites
How to prepare your credentials
How to configure Gemini CLI
How to verify the connection
How to use the new tools
Troubleshooting
Next steps
MCP servers reference
official MCP server list
Prerequisites
Why manage context?
How to define project-wide rules (GEMINI.md)
How to teach the agent facts (Memory)
How to manage and inspect context
Best practices
Next steps
Session management
Command reference
Project context
Auto Memory
Prerequisites
Providing context by reading files
How to find files (Exploration)
How to modify code
Review and confirm changes
Verify the result
Advanced: Controlling what Gemini sees
Next steps
Manage context and memory
Execute shell commands
File system reference
Prerequisites
How to resume where you left off
How to manage your workspace
How to rewind time (Undo mistakes)
How to fork conversations
Next steps
Checkpointing
Task planning
Command reference
Prerequisites
Plan Mode
Model steering
Why combine Plan Mode and model steering?
Step 1: Start a complex task
Step 2: Steer the research phase
Step 3: Refine the design mid-turn
Step 4: Approve and implement
Tips for effective steering
Next steps
Agent Skills
Model steering reference
Prerequisites
How to run commands directly (!)
How to automate complex tasks
How to manage background processes
How to handle interactive commands
Safety features
Next steps
Sandboxing
Shell tool reference
Task planning
Create your first skill
Verify discovery
How to use the skill
Pro tip: Use the skill-creator
Manage skills
Next steps
Creating Agent Skills
Using Agent Skills
Skill best practices
Prerequisites
Why use task planning?
How to ask for a plan
How to review and iterate
How to execute the plan
How to monitor progress (Ctrl+T)
How to handle unexpected changes
Next steps
Session management
Todo tool reference
Memory management
Prerequisites
How to research new technologies
How to fetch deep context
How to apply knowledge to code
How to troubleshoot errors
Next steps
File management
Web search tool reference
Web fetch tool reference
## What is Gemini CLI Documentation's llms.txt?
Gemini CLI Documentation publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Gemini CLI Documentation offers and where to find details.
Issues
Spec
548
Sections
298
Links
919.6 KB
Size
~235.3k
Tokens
Sections: Guiding principle: Issues and pull requests · Detailed automation workflows · Current releases · Announcements: v0.50.0 - 2026-07-08 · Announcements: v0.45.0 - 2026-06-03 · Announcements: v0.44.0 - 2026-05-27 · and 542 more
## Add Gemini CLI Documentation Docs to Your AI Assistant
Select your tool to see how to add Gemini CLI Documentation's llms.txt as a documentation source.
Cursor
Windsurf
Claude Code
ChatGPT
Zed
Copilot
1. 1
Open any chat or composer panel
2. 2
Type @Docs and select "Add new doc"
3. 3
Paste the URL: https://geminicli.com/llms.txt
4. 4
Wait for the green dot (indexing complete)
5. 5
Reference @Docs in chat when asking about Gemini CLI Documentation
Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.
## Spec Compliance 857 errors
## Frequently Asked Questions
Where is Gemini CLI Documentation's llms.txt file?
Gemini CLI Documentation publishes its llms.txt at https://geminicli.com/llms.txt. This file provides a structured, markdown-formatted index of Gemini CLI Documentation's documentation that AI systems can consume to understand the project's APIs, guides, and references.
How do I use Gemini CLI Documentation's llms.txt with AI coding assistants?
Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Gemini CLI Documentation's documentation so it can provide better code suggestions and answers about Gemini CLI Documentation.
What does Gemini CLI Documentation's llms.txt contain?
Gemini CLI Documentation's llms.txt contains 548 sections and 298 documentation links in 919.6 KB (~235.3k tokens). Key sections include Guiding principle: Issues and pull requests, Detailed automation workflows, Current releases, Announcements: v0.50.0 - 2026-07-08, Announcements: v0.45.0 - 2026-06-03, Announcements: v0.44.0 - 2026-05-27.
How many tokens does Gemini CLI Documentation's llms.txt use?
The concise llms.txt index is approximately 235.3k tokens (919.6 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.
What is Gemini CLI Documentation?
[!NOTE]. Gemini CLI Documentation's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Gemini CLI Documentation.
Can I generate an llms.txt for my own project?
Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.
## Browse More llms.txt Files
[Ri Xu Online Change the life in a geek way](https://mdream.dev/llms-txt/gemini-cli/llms-txt/excelize) [Daytona Documentation v0.0.0-dev Secure and Elastic Infrastructure for Running Your Al-Generated Code.](https://mdream.dev/llms-txt/gemini-cli/llms-txt/daytona) [Documentation Automated auditing, performance metrics, and best practices for the web.](https://mdream.dev/llms-txt/gemini-cli/llms-txt/lighthouse) [Documentation Generated documentation](https://mdream.dev/llms-txt/gemini-cli/llms-txt/chat2db) [Kilo Code Documentation**Note:** Skip labels and required labels are also excluded from the set of labels the AI can apply. This keeps gating labels strictly under your control.](https://mdream.dev/llms-txt/gemini-cli/llms-txt/kilocode) [Twilio Documentation Reference documentation for all Twilio products. Code snippets, tutorials, and sample apps for common use cases and communications solutions.](https://mdream.dev/llms-txt/gemini-cli/llms-txt/twilio) [Apify Documentation The entire content of Apify documentation is available in a single Markdown file at https://docs.apify.com/llms-full.txt](https://mdream.dev/llms-txt/gemini-cli/llms-txt/apify) [learning](https://mdream.dev/llms-txt/gemini-cli/llms-txt/learning)
[View all 99 projects ](https://mdream.dev/llms-txt/gemini-cli/llms-txt)
## Related Tools
[llms.txt Generator
Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/gemini-cli/tools/llms-txt/generator) [llms.txt Validator
Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/gemini-cli/tools/llms-txt/validator)
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