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Agentic AI From Claude Code — AI skill for Claude Code

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Learn production-grade AI agent development from Claude Code's architecture.

How to install Agentic AI From Claude Code

This entry records only its repository, not the path inside it, so there is no exact command to give. Open ahmedk20/agentic-ai-from-claude-code and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Agentic AI From Claude Code does

Learn production-grade AI agent development from Claude Code's architecture.

Alternatives in AI

Power BI Agentic Development — Power BI AI skills and Power BI agents for Claude Code and GitHub Copilot: a plugin marketplace of Power BI sk 879 ★
Claude Code Configs — A comprehensive collection of production-grade Claude Code configurations, specialized agents, and automation 624 ★
Unofficial Claude Code Prompt Playbook — Unofficial playbook for production-grade LLM system prompt architecture, derived from local analysis of Claude 258 ★

README

AI Agent Development Study Guide

Learn how to build production-grade AI agents by studying Claude Code's architecture

About This Study Guide

This documentation provides a structured learning path for understanding AI agent development through the Claude Code codebase - a production-grade AI coding assistant that was accidentally exposed through an npm source map leak.

**What makes this unique**: Unlike toy examples or tutorials, this is real production code (~512,000 lines) from Anthropic, showing how they architect autonomous AI agents at scale.

Prerequisites

Before diving in, you should have:

Strong TypeScript/JavaScript knowledge
Understanding of async/await and Promises
Basic familiarity with AI/LLM concepts (prompts, tokens, API calls)
Terminal/CLI experience
Git and npm basics

**Optional but helpful**:

React knowledge (for understanding the UI layer)
Experience with tool-calling LLMs (Claude, GPT-4)
Understanding of software architecture patterns

Learning Path Overview

┌─────────────────────────────────────────────────────────────┐
│                     LEARNING JOURNEY                        │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  Week 1-2: Fundamentals                                    │
│  ├─ Architecture overview                                  │
│  ├─ Core concepts (tools, permissions, context)            │
│  └─ Codebase navigation                                    │
│                                                             │
│  Week 3-4: Tool System                                     │
│  ├─ Tool definition and schemas                            │
│  ├─ Permission system                                      │
│  └─ Building custom tools                                  │
│                                                             │
│  Week 5-6: Agent Orchestration