Skill Sprint: Make the Most of Claude Code

Learn how to use Claude Code as an agentic development environment to plan, build, debug, and automate software work directly inside your coding workflow. LinkedIn Learning Skill Sprints help learners gain the skills they need to succeed today. In this sprint, join Brij Pandey to explore the core capabilities of Claude Code, including project memory, slash commands, custom skills, hooks, Model Context Protocol (MCP) connections, GitHub integration, and subagents. See how these features work together to create a repeatable AI-assisted engineering workflow that can review a codebase, take action, use tools, and support more complex development tasks. By the end of the course, you are equipped to move beyond basic prompting and use Claude Code as a practical coding partner for real-world software projects.


Learning objectives
Explain what Claude Code is and how it supports agentic software development.
Describe how Claude Code plans, acts, checks work, and iterates through coding tasks.
Use CLAUDE.md to preserve project context, coding conventions, and reusable instructions across sessions.
Apply slash commands to move faster through common developer workflows.
Create and use custom skills to extend Claude Code for repeatable tasks and project-specific needs.
Configure hooks to automate actions at key points in the development lifecycle.
Use Model Context Protocol, or MCP, to connect Claude Code to external tools, data sources, and workflows.
Integrate Claude Code with GitHub to support repository management, collaboration, and version control workflows.
Use subagents to divide complex engineering work into smaller, specialized tasks.
Combine Claude Code features into an end-to-end workflow for building, testing, and improving a real project.