By avaloki108
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
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.
[!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.
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
Navigate to your project directory and run claude.
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.
We welcome your feedback. Use the /bug command to report issues directly within Claude Code, or file a GitHub issue.
Join the Claude Developers Discord to connect with other developers using Claude Code. Get help, share feedback, and discuss your projects with the community.
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.
See our data usage policies.
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.
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npx claudepluginhub p/avaloki108-explanatory-output-style-plugins-explanatory-output-styleEnterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
Frontend design skill for UI/UX implementation
Migrate your code and prompts from Sonnet 4.x and Opus 4.1 to Opus 4.5.
Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Memory compression system for Claude Code - persist context across sessions
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.