Official documentation and guides from the AI Skill Market team. Comprehensive resources for understanding and building AI skills.
Learn what AI agents are, how they differ from chatbots and LLMs, and why they're transforming software development. A comprehensive guide for developers.
Discover what AI skills are, how they differ from prompts, and why they are essential for scaling AI capabilities across projects and teams.
Master the tool-use agentic design pattern. Learn how agents decide when and how to use tools, handle tool results, and chain multiple tools together.
Learn how the reflection pattern enables AI agents to review and improve their own work. Implement self-critique, iterative refinement, and quality assurance.
Master the ReAct pattern - the fundamental loop of Reasoning and Acting that powers effective AI agents. Learn implementation, examples, and best practices.
Learn how the planning pattern enables agents to tackle complex tasks through strategic decomposition, goal setting, and adaptive execution.
Understand the differences between skills, commands, and agents in Claude Code. Learn when to use each tool for maximum effectiveness.
Master the single-shot skill pattern for building focused, reliable AI skills that transform inputs to outputs in one clean operation.
Master the router pattern for AI skills that intelligently route different inputs to specialized handlers, creating unified interfaces for diverse tasks.
Deep dive into how AI agents achieve autonomy through reasoning loops, tool use, and self-correction. Understand the mechanics behind autonomous systems.
Discover 50 practical AI agent use cases across development, business, and creative domains. Real examples of how agents are transforming work today.
Master the orchestrator pattern for AI skills that coordinate multiple sub-skills, managing parallel execution, dependencies, and result aggregation.
Learn the feedback loop pattern for AI skills that iteratively refine their outputs through evaluation and improvement cycles for quality-critical tasks.
A clear comparison of AI agents, large language models, and RAG systems. Learn when to use each approach for your AI applications.
Learn the chain pattern for AI skills that process data through sequential stages, building powerful pipelines for research, analysis, and transformation.
Discover the essential components that make AI skills effective. Learn the building blocks of clear purpose, context injection, and structured outputs.