feature-status

Parsing YAML frontmatter from markdown docs generates a feature maturity report by grouping features by status. It outputs a formatted table with name, type, and description for quick project status visibility.

When parsing YAML frontmatter, missing status fields are marked as unknown for auditing. This ensures incomplete feature documentation is flagged and accounted for in the final maturity report.

Features are grouped by stable, experimental, unstable, development, and unknown maturity levels. These status categories provide a concise overview of feature readiness in the project documentation.

Yes, parsing frontmatter metadata audits feature documentation completeness by detecting missing status fields. Features lacking a status are assigned an unknown maturity level to highlight documentation gaps.

Parsing YAML frontmatter from multiple markdown files is the best way to aggregate feature metadata. It groups extracted data to render a readable table summarizing feature status and types.