skill-naming-optimizer

To standardize skill names and descriptions, you must enforce kebab-case naming, adhere to length limits, and validate directory alignment. This ensures consistent triggering and improves discovery across projects during frontmatter refinement.

Kebab-case naming formats text with lowercase letters and hyphens separating words. It is needed for frontmatter validation to enforce structural consistency, prevent character errors, and ensure reliable automated triggering of your skills.

Yes, you can use markdown frontmatter to improve descriptive clarity for skill triggering. Refining frontmatter descriptions enforces descriptive quality and recommends improvements that directly enhance AI activation accuracy.

The best way to validate directory alignment when creating skills is to run an automated optimizer after updating your frontmatter. This checks the structural configuration, enforces naming standards, and confirms alignment before finalizing.

Your skill description may not trigger reliably due to inconsistent frontmatter, exceeding length limits, or poor descriptive clarity. Standardizing these elements enforces kebab-case naming and ensures proper directory alignment for accurate activation.

Yes, there are specific length limits enforced during frontmatter refinement. Validating your skill descriptions ensures they remain within these constraints while maintaining the descriptive clarity necessary for reliable AI activation.