context-fundamentals

What problem does it solve?

This Skill demystifies the core concepts of context in AI agent systems, helping you understand how agents perceive and process information to build more effective and efficient AI.

Core Features & Use Cases

• Context Anatomy: Learn about system prompts, tool definitions, retrieved documents, message history, and tool outputs.
• Attention Mechanics: Understand the limitations and principles of context windows and attention budgets.
• Progressive Disclosure: Discover how to load information efficiently only when needed.
• Use Case: When designing a new AI agent, use this Skill to understand how to structure its system prompt and manage its memory to ensure it performs tasks accurately and cost-effectively.

Quick Start

Explain the concept of context windows and their limitations for AI agents.