Extending AI with Agent Skills 2026
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Unclaimed ProfileIn "Extending AI with Agent Skills 2026," acclaimed instructor Anthony Alicea demystifies the rapidly evolving world of artificial intelligence agents, providing developers with a practical blueprint to build, scale, and maintain portable AI skills. As developer environments transition toward agentic workflows using powerful tools like Claude Code, GitHub Copilot, Cursor, and OpenAI Codex, understanding how to extend these systems is no longer optional—it is a critical modern developer capability. This comprehensive course addresses a common frustration in AI engineering: context rot. You will explore how context windows function behind the scenes and master the concept of progressive disclosure to keep your agent's cognitive load lean and efficient. By learning to structure production-ready SKILL files and folders with precise metadata, instructions, and schemas, you will build highly reusable capabilities that transcend a single platform. Whether you are an application developer looking to automate daily workflows or a software engineer designing custom tooling, this course equips you with the foundational standard to orchestrate smarter, faster, and more focused AI agents.
About the creator
Anthony Alicea
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Anthony Alicea is an accomplished software developer, architect, and educator dedicated to demystifying highly complex technical topics. Best known for his ground-breaking educational series, including "JavaScript: Understanding the Weird Parts," Anthony has helped hundreds of thousands of students globally transition from superficial code-copying to profound, system-level comprehension. His teaching philosophy centers on the conviction that learning is easiest and most durable when you understand how a technology works under the hood. Instead of relying on rigid rules or rote memorization, Anthony uses clear visual diagrams, mental models, and step-by-step reconstructions of execution environments. This approach empowers developers to write cleaner…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Explain the mechanics of context windows and implement architectural strategies to prevent context rot and agent drift during long developer sessions.
- Design and implement the progressive disclosure pattern to load specific skill instructions dynamically, preserving precious token space.
- Construct standardized, production-ready SKILL folders and configuration files featuring precise metadata, runtime scripts, and asset resources.
- Build portable, platform-agnostic agent skills capable of seamless execution across Claude Code, GitHub Copilot, Cursor, and OpenAI Codex.
- Establish structured prompt engineering templates to ensure agent responses remain predictable, safe, and aligned with engineering guidelines.
- Test, debug, and optimize custom agent skills using real-world diagnostic workflows to verify execution accuracy and token efficiency.
Best For
- Software engineers and application developers looking to integrate AI agents into their daily coding workflows.
- Developers using tools like Claude Code, Cursor, or GitHub Copilot who want to move beyond basic prompts.
- Technical professionals eager to learn standardization for cross-platform AI skill development.
- Engineers looking to optimize token usage and solve context management challenges in agentic systems.
Not For
- Absolute beginners with no experience in software development or command-line interfaces.
- Non-technical users looking for a drag-and-drop AI automation tool without writing configuration code.
- Data scientists or machine learning researchers primarily interested in training or fine-tuning LLM models from scratch.
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