init-skill

To generate QA automation skills, you use an interactive workflow that creates a SKILL.md file with mandatory YAML frontmatter and operational instructions, ensuring standardized templates and consistent structure across your skill repository.

The best way to structure a new skill repository is by using a checkpoint-based refinement workflow that generates a SKILL.md body and optional directories like scripts/, references/, and assets/ to validate quality before publishing.

Yes, you can use interactive workflows to create QA automation skills iteratively. The process applies checkpoint-based refinement to validate skill quality and enables safe placement and editing within the skill repository.

Yes, skill creation requires a YAML frontmatter format containing the name and description fields. This frontmatter is mandatory in the SKILL.md file to ensure proper skill registration and standardized metadata.

When you generate a new skill, you can include optional directories such as scripts/, references/, and assets/. These directories help organize supplementary files alongside the mandatory SKILL.md document.

You need checkpoints for iterative skill refinement to validate quality before publishing. This checkpoint-based process ensures safe placement and editing within the skill repository, reducing manual setup time and preventing errors.