Context Engineering

Every AI agent works with a limited pool of attention. Context engineering helps you make the most of that resource. You learn to craft system prompts, tool definitions, and manage message history so the agent stays focused on what matters. The goal is to give the model the smallest set of high-signal tokens to get the job done right.

This skill covers the building blocks of context. You will understand system prompts that set the agent's behavior, tool definitions that list its actions, and retrieved documents that bring in knowledge only when needed. You also manage message history and tool outputs to keep context clean and efficient. Anyone who builds or works with AI agents can benefit from these practical techniques.

By mastering context engineering you avoid common pitfalls like vague instructions or bloated prompts. Your agents become more reliable, less confused, and better at completing complex tasks. This skill is essential for anyone who wants their AI tools to perform as intended.