creating-skills

To create production-ready agent skills that pass code review, follow a structured 6-step process: discover existing skills, capture intent, draft the skill, validate, test, and package. This ensures adherence to best practices and quality standards.

Skill authoring validation involves automated and manual checks against a quality checklist to ensure adherence to standards. This process verifies skill structure, validation rules, and testing procedures to guarantee reliability before submission.

Iterative testing and improvement of agent skills involves running validation checks, testing effectiveness, and refining the skill based on results. This cycle ensures the skill meets quality assurance and code review standards for production environments.

Best practices for drafting a SKILL.md file involve capturing intent clearly, adhering to Anthropic's skill structure, and following validation rules. Using templates and references ensures the file meets production-ready standards and passes code review.

Yes, skill authoring requires knowledge of skill structure, validation rules, and testing procedures. Understanding these rules is essential to ensure the skill adheres to best practices and passes automated and manual quality checks.