skill-check

To validate YAML frontmatter and markdown structure in skill files, run a validation script that checks for required fields, correct syntax, and proper content organization. This detects formatting issues to ensure safe AI skill loading.

Skill file validation checks SKILL.md documents for required frontmatter fields, valid YAML syntax, and necessary content elements. It is needed to prevent AI deployment errors and ensure consistent performance across structured markdown documents.

You can check multiple skill files for missing fields by running a validator across your directory. It quickly identifies missing frontmatter fields and formatting errors in large skill repositories before deployment.

The best way to ensure correct syntax in YAML and markdown skill files is to use a structural analysis tool that verifies field presence, syntax correctness, and content clarity for reliable AI performance.

An AI skill fails to load correctly from a markdown file when there are structural issues like missing frontmatter fields, invalid YAML syntax, or absent content elements like instructions and placeholders.

Skill validation works for development teams managing large skill repositories by quickly scanning multiple structured YAML and Markdown documents to identify formatting errors, missing fields, and content clarity issues before deployment.