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Agentic Coding with Claude Code

Agentic Coding with Claude Code

By : Eden Marco
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Agentic Coding with Claude Code

Agentic Coding with Claude Code

4 (2)
By: Eden Marco

Overview of this book

Most developers encounter Claude Code through chat-style prompting, but that approach breaks down as projects grow and automation must be safe, repeatable, and controlled. Agentic Coding with Claude Code shows how to move beyond ad hoc prompts and use Claude Code as an extensible, agent-driven development platform. This book focuses on building context-aware AI workflows directly in your terminal and IDE. You will learn how to control Claude Code using slash commands, manage long-term context with persistent memory files, and automate development tasks using hooks that trigger actions across Claude Code's lifecycle. The book also covers the Model Context Protocol (MCP) as an important part of the modern agentic ecosystem. You will understand why MCP exists, explore its core architecture, and configure MCP servers inside Claude Code to improve context sharing across tools, agents, and workflows. The trade-offs between MCP, skills, and subagents are discussed to help you choose the right approach. You will design and orchestrate multi-agent systems using subagents, parallel sessions, and hierarchical delegation. By the end of the book, you will be able to integrate Claude Code into real-world development workflows with confidence and control.
Table of Contents (18 chapters)
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1
Part 1: Foundations of Context Engineering and Claude Code
5
Part 2: Extending Claude Code: Protocols, Automation, and Structured Workflows
11
Part 3: Advanced Agents and Deep System Design
16
Other Books You May Enjoy
17
Index

9

Understanding Agent Skills

Agent skills were introduced by the Anthropic team in October 2025 as a mechanism for extending the capabilities of AI agents. Skills allow capabilities to be packaged as structured units, including custom workflows and task-specific instructions, enabling agents to perform more complex and coordinated tasks. By encapsulating defined behaviors, skills expand what agents can accomplish beyond general reasoning alone. Claude can automatically invoke skills based on their description field matching the conversation context.

This chapter examines the concept of agent skills in depth, establishing a clear understanding of what they are and why they matter in the design of more capable agent systems.

The chapter progresses through a layered exploration of skills, beginning with foundational concepts and practical usage in environments such as Claude Code, as well as tools such as LangChain DeepAgents (https://docs.langchain.com/oss/python/deepagents/overview). We...

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