Plugins in Claude Code + Claude Code Notes | Final Video | CampusX

This video concludes the Claude Code playlist by exploring one of the most powerful concepts in agentic coding: Plugins. The video explains how plugins package skills, hooks, slash commands, MCP tools, and subagents into reusable workflows that teams can easily share and install through marketplaces. Along with the theory, the video also completes the Spendly expense tracker project, adds the final delete-expense feature, and deploys the Flask application using the Railway plugin inside Claude Code.

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Chapters:

0:00 - Introduction & Final Video of Claude Code Playlist
1:06 - Why Plugins are Needed (Real-World Workflow Problem)
2:40 - Using Skills for Data Science Workflows (EDA + Feature Engineering)
7:14 - Custom Slash Commands for ML Evaluation
8:22 - Hooks for Preventing Data Science Mistakes
9:40 - MCP Integration with Experiment Tracking
10:26 - The Core Problem: Sharing AI Workflows Across Teams
12:29 - What are Plugins? (Core Concept)
13:31 - Plugin Structure & plugin.json Explained
14:58 - What are Marketplaces? (Plugin Distribution System)
17:36 - Official vs Third-Party Marketplaces
18:19 - Plugins Can Also Share Subagents
19:30 - Installing Plugins & Marketplaces in Claude Code
21:28 - Using Plugins in Real Workflow (Project Deployment Plan)
22:22 - Building the “Delete Expense” Feature
24:36 - Automated GitHub Workflow with Ship Feature
26:01 - Why Vercel Was Rejected for Flask Deployment
26:53 - Deploying Flask App with Railway Plugin
30:05 - Live Deployment Demo of Expense Tracker App
31:35 - Why Plugins are Powerful (Automation & Abstraction)
32:29 - Useful Claude Code Plugins You Should Explore
33:43 - Notes, Resources & Playlist Wrap-up
34:31 - Final Thoughts on Agentic Coding & Learning Path

Видео Plugins in Claude Code + Claude Code Notes | Final Video | CampusX канала CampusX