Agent Skills: Claude Code, Cursor and MCP in Practice
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Unclaimed ProfileUnlock the future of developer productivity with Yash Thakker’s practical guide to AI-assisted programming. This course is specifically designed for developers, software engineers, and tech innovators who want to transcend basic prompting and master advanced AI coding environments. By focusing on Claude Code, Cursor, and the Model Context Protocol (MCP), you will learn how to build highly tailored developer experiences. The curriculum covers the architectural differences between skills, rules, and MCP tools, teaching you exactly where to deploy each layer for maximum efficiency. You will gain hands-on experience building custom SKILL md files in Claude Code, writing precise MDC rules for Cursor, and developing custom MCP servers in Python to expose real-time tools to your AI agent. Additionally, you will discover how to configure a unified AGENTS md context file that maintains consistency across popular environments like GitHub Copilot and Gemini CLI. Whether you are aiming to automate repetitive coding tasks, configure agent-level tool access, or build a version-controlled personal skills toolkit, this course provides the blueprint to elevate your AI-driven software development workflows.
About the creator
Yash Thakker
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Reviews
Yash Thakker is a forward-thinking technologist, creator, and productivity strategist who bridges the gap between emerging artificial intelligence and real-world business execution. His courses cover highly practical domains of Generative AI—ranging from advanced large language models like Claude 3.5 Sonnet, AI agents, and automated video workflows, to mental resilience and burnout prevention for busy executives. Yash adopts a highly pragmatic, hands-on teaching style designed to demystify complex technical concepts for everyday professionals, entrepreneurs, and leaders. He believes that technology should serve human output, which is why his curriculum balances cutting-edge automation tactics with mental fitness practices. Whether guiding startup founders…Show more
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Program Overview
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Explain the difference between skills, rules, and MCP tools — and choose the right layer for each real-world use case in your AI coding workflow.
- Build and install a custom SKILL md skill from scratch in Claude Code, using the correct YAML frontmatter fields (name, description, allowed-tools)
- Write Cursor Project Rules in MDC format, selecting the right rule type — Always, Auto-Attached, Agent-Requested, or Manual — for each specific use case.
- Design a multi-file skill architecture using scripts/, references/, and assets/ subdirectories, matching the architecture pattern
- Create a working MCP server in Python that exposes at least three tools your AI coding assistant can discover and call in real time
- Evaluate and install community skills from marketplaces such as skills sh and the official Anthropic repository
- Configure AGENTS md as a cross-tool context file that works consistently across Claude Code, Cursor, GitHub Copilot, Gemini CLI
- Assemble a complete personal skills toolkit — version-controlled in a GitHub repository — combining AGENTS md, Cursor rules, Claude Code skills, and MCP server
Best For
- Software engineers looking to optimize their daily coding workflow with AI agents.
- Developers familiar with basic LLM prompting who want to transition to advanced tool-use and autonomous task execution.
- Technical professionals interested in building custom MCP servers and standardized rule-based architectures.
- Individuals aiming to create a version-controlled, personal toolkit for cross-environment AI consistency.
Not For
- Absolute beginners to programming who lack experience with command-line tools or basic software development cycles.
- Users looking for a high-level overview of AI history or conceptual ethics without hands-on coding exercises.
- Those uninterested in configuring local development environments or writing custom configuration files.
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