Claude-Code-Everything-You-Need-to-Know
Сообществоот wesammustafa
The ultimate all-in-one guide to mastering Claude Code. From setup, prompt engineering, commands, hooks, workflows, automation, and integrations, to MCP servers, tools, and the BMAD method—packed with step-by-step tutorials, real-world examples, and expert strategies to make this the global go-to repo for Claude mastery.
Описание
# Claude-Code-Everything-You-Need-to-Know The ultimate all-in-one guide to mastering Claude Code. From setup, prompt engineering, commands, hooks, workflows, automation, and integrations, to MCP servers, tools, and the BMAD method—packed with step-by-step tutorials, real-world examples, and expert strategies to make this the global go-to repo for Claude mastery. > **⚠️ IMPORTANT NOTE** > To get the best visualization for the documents in this repo, please install [Obsidian](https://obsidian.md/). ### 🧵 What We Covered: - What are LLMs, and how do they differ from AI tools like Claude Code? Why should we use AI tools? - What is Claude Code? - Claude Code Setup: Get up and running seamlessly with a clean, optimized installation. - Prompt Engineering Deep Dive - Claude Commands Mastery: Extract the best possible results by leveraging Claude's command capabilities to their fullest. - AI Agents: Harness agents, sub-agents, and `worktrees` to structure intelligence with precision. - Hooks That Work: Discover the power of Claude Hooks and learn how to implement them for maximum impact. - What are MCP servers and how to use them? - Software Development Life Cycle (SDLC) - Workflow Design: Build fully customized, high-performance workflows tailored to your project goals. - Hands-On Demo: Full App Development Through the SDLC, Step by Step! - Super Claude: Unlock advanced capabilities and push beyond standard limits. - The BMAD Method: Apply a proven, systematic approach to deliver consistent, high-quality outcomes. ### What are LLMs, and how do they differ from AI tools like Claude Code? **LLM (Large Language Model):** - This is the underlying AI technology/engine - Think of it like a car engine - it's the core component that makes everything work - Examples: GPT-4, Claude 4, Gemini (the actual AI models) **Products built with LLMs:** These are the applications and tools that use LLMs to provide specific services: **Claude Code:** - A command-line tool that uses Claude's LLM - Specifically designed for developers to code from their terminal - It's like putting the Claude engine into a developer-focused interface **ChatGPT:** - A web/app interface that uses GPT models - Designed for general conversations and tasks **Google Bard/Gemini:** - Google's chat interface that uses their Gemini LLM - Note: "Gemini" refers both to Google's LLM and their chat product **Analogy:** - **LLM** = Car engine - **Claude Code** = A pickup truck (built for specific work) - **ChatGPT** = A family sedan (built for general use) - **Google Bard** = A racing car The LLM is the "brain" that understands and generates language, while products like Claude Code are specialized interfaces that make that brain accessible for particular use cases. --- ### What is Claude Code? Claude Code is a command-line tool that lets developers work with Claude directly from their terminal or command prompt. Think of it as having an AI coding assistant that lives right in your development environment. Here's what makes it useful in simple terms: **What it does:** - You can ask Claude to write code, fix bugs, or explain programming concepts without leaving your terminal - It can read and work with files in your project directory - You can delegate entire coding tasks to Claude and it will work through them step-by-step **Why developers like it:** - No need to copy-paste code back and forth between a web browser and your code editor - Claude can see your actual project files and understand the context of what you're working on - It fits naturally into existing development workflows - You can automate repetitive coding tasks **Example use cases:** - "Claude, add error handling to this function" - "Write unit tests for my new feature" - "Help me refactor this messy code" - "Explain what this legacy code does" It's essentially like having a very pair programming partner who can jump in and help with coding tasks whenever you need it. --- ### Claude Code Setup [](https://www.anthropic.com) [](https://docs.anthropic.com/en/docs/claude-code/overview) --- ### Prompt Engineering Deep Dive > **📖 Claude Initialization** > Run the `/init` command to automatically generate a `CLAUDE.md` file. > Your `CLAUDE.md` files become part of Claude's prompts, so they should be refined like any frequently used prompt. A common mistake is adding extensive content without iterating on its effectiveness. Take time to experiment and determine what produces the best instruction following from the model. #### 1. Explore → Plan → Code → Commit > Versatile workflow for complex problems. - **Explore:** Read relevant files/images/URLs; use subagents for verification. Do **not code yet**. - **Plan:** Ask Claude to make a plan. Use `"think"`, `"think hard"`, `"think harder"`, or `"ultrathink"` to increase computation time. Optionally save plan for future reference. - **Code:** Impleme
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