How do AI Agent Skills Work?
Автор: Cloud with Karl
Загружено: 2026-01-15
Просмотров: 679
We talk a lot about AI Agents and the Tools they use to execute code, but there is a missing piece of the puzzle: Skills.
If "Tools" are the hands that do the work, "Skills" are the specific instructions and domain knowledge that tell the agent how to do it correctly. In this video, I break down the architecture of an AI Skill and how it separates general reasoning from specific workflows.
I'll explore the concept through a practical coding demonstration. You'll see how to create a simple configuration file that teaches an agent a completely new behavior. The agent will analyze code changes and generate standardized, format-compliant Git commit messages, all without needing to modify the agent's core programming.
It’s the most efficient way to enforce team standards and give your AI "muscle memory" for repetitive tasks.
Chapters:
0:00 - The difference between Agents, Tools, and Skills
0:25 - The "Auto Mechanic" Analogy
0:48 - Practical Use Case: Standardizing Git workflows
1:25 - Breaking down the Skill file structure (YAML & Markdown)
1:55 - Scoping: Project-specific vs. Global knowledge
2:30 - Seeing the new Skill in action
#AIAgents #SoftwareArchitecture #DevOps #MachineLearning #CodingWorkflow
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