Claude Code Custom

Tip

Use CLAUDE.md for custom install/validation steps. This repo enables LiteLLM (custom/litellm) and Better Tools (custom/plugins/better-tools). Inventory: custom/components.yaml.

prompt: 
Follow CLAUDE.md to install and validate all custom components from custom/, then report phase-by-phase status.

Claude Code Custom is a customized Claude Code repository with local integrations, plugins, and skills under custom/, including LiteLLM proxy routing and the Better Tools plugin.

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows -- all through natural language commands. Use it in your terminal, IDE, or tag @claude on Github.

Learn more in the official documentation.

Get started

Note

Installation via npm is deprecated. Use one of the recommended methods below.

For more installation options, uninstall steps, and troubleshooting, see the setup documentation.

1. Install Claude Code:

   MacOS/Linux (Recommended):

   curl -fsSL https://claude.ai/install.sh | bash

   Homebrew (MacOS/Linux):

   brew install --cask claude-code

   Windows (Recommended):

   irm https://claude.ai/install.ps1 | iex

   WinGet (Windows):

   winget install Anthropic.ClaudeCode

   NPM (Deprecated):

   npm install -g @anthropic-ai/claude-code

2. Navigate to your project directory and run claude.

Plugins

This repository includes several Claude Code plugins that extend functionality with custom commands and agents. See the plugins directory for detailed documentation on available plugins.

Reporting Bugs

We welcome your feedback. Use the /bug command to report issues directly within Claude Code, or file a GitHub issue.

Connect on Discord

Join the Claude Developers Discord to connect with other developers using Claude Code. Get help, share feedback, and discuss your projects with the community.

Data collection, usage, and retention

When you use Claude Code, we collect feedback, which includes usage data (such as code acceptance or rejections), associated conversation data, and user feedback submitted via the /bug command.

How we use your data

See our data usage policies.

Privacy safeguards

We have implemented several safeguards to protect your data, including limited retention periods for sensitive information, restricted access to user session data, and clear policies against using feedback for model training.

For full details, please review our Commercial Terms of Service and Privacy Policy.