skill-master

To structure an AI skill for workflow automation, you must define its anatomy using frontmatter, body content, and bundled resources like scripts and assets. This ensures your procedural AI skills are modular, reusable, and execute workflows efficiently.

Procedural AI skills define a specific execution flow for workflow automation, whereas informational AI skills provide knowledge and reference materials without a strict execution sequence. Differentiating them guides how you structure the skill body and bundle resources for your AI agent.

Building AI skills requires frontmatter to define metadata such as the skill name, author, category, and keywords. This frontmatter is essential for validation procedures and ensures the AI agent can correctly discover and load the modular skill unit.

To validate procedural skills before deploying an AI agent, follow the validation procedures outlined in your skill development guide. This process checks frontmatter requirements, body content structure, and bundled resources like scripts and references to ensure the skill is robust and well-documented.

Yes, you can bundle scripts, references, and assets directly inside modular AI skills. Bundling these resources allows your AI agent to access necessary execution logic and informational documentation locally, ensuring the skill operates efficiently without external dependencies.

You should not use a procedural skill structure when your AI development goal is to provide static knowledge rather than execute a workflow. In these cases, use an informational skill format to organize reference materials without defining an execution flow for your AI agent.