arqel-marketplace-skill-metadata-extractor

To extract metadata from SKILL.md files in a monorepo, run the extractor from the repository root to locate frontmatter and consolidate name, description, and dependencies into a standardized YAML block for registry ingestion.

Automating skill discovery in a monorepo involves locating valid SKILL.md files at the root of each directory, parsing YAML frontmatter for mandatory fields, and generating a uniform metadata payload for automated cataloging and indexing.

Yes, the metadata extractor recognizes optional resources like scripts, references, and assets within Skill Unit directories to enrich the generated manifest and provide a more comprehensive metadata payload for AI agent contexts.

Yes, you can parse YAML frontmatter across root and nested Skill Unit directories to capture mandatory fields and operational content, producing a consistent machine-readable YAML metadata payload for registry ingestion.

The mandatory fields required in SKILL.md frontmatter for metadata extraction are name and description, which the extractor uses to identify valid Skill Units and generate a standardized metadata block for discovery and activation.

Standardizing Skill Unit metadata improves automated cataloging by consolidating tagging, dependencies, and toxicity information into a single machine-readable YAML structure, enabling quality checks and consistent indexing before activation.