expert-skill-writer

To create high-quality agentic skills, follow a structured four-phase process covering Scoping, Architecture, Drafting, and Validation to ensure proper structure and conciseness. This approach enforces best practices like progressive disclosure and efficient resource management throughout skill development.

The best way to structure an agentic AI skill is by ensuring conciseness, applying progressive disclosure of information, and managing resources efficiently. You should define a clear trigger and properly organize the core skill documentation file.

Use Python scripts for deterministic logic and reference files for extensive documentation during skill development. This separation ensures your agentic AI skill remains efficient and concise while still providing comprehensive information when needed.

You validate your prompt engineering and skill architecture by checking the drafted work against established principles during the Validation phase. This step ensures the skill meets best practices for conciseness, progressive disclosure, and efficient resource management.

While prior coding experience helps, especially for writing Python scripts used in deterministic logic, you primarily need a clear understanding of your desired trigger and use case. The skill guides you through scoping, architecture, and drafting the necessary documentation.