Extract structured YAML metadata profiles from Skill repositories.
npx skills add https://github.com/zy-zmc/tianming-skill --skill tianming-novel-system
Please help me install this Agent Skill. Skill: tianming-novel-system Source: https://github.com/zy-zmc/tianming-skill/tree/main Command: npx skills add https://github.com/zy-zmc/tianming-skill --skill tianming-novel-system
This Skill automates the discovery- and validation-oriented metadata generation process for the Skill unit, turning the repository into a structured, machine-readable profile.
Provide the Skill unit's root path to generate a complete metadata blueprint for deployment and discovery.
High-intent search queries and answers about installing and using this skill.
To generate structured YAML metadata for a repository analysis, provide the Skill unit's root path. The system validates repository structure and frontmatter to produce a discovery-ready metadata bundle.
Skill metadata extraction turns a repository into a structured, machine-readable YAML profile. You need it when indexing, documenting, or validating discovery-oriented metadata for tooling integration.
Yes, Python and Markdown are required dependencies to validate repository structure for discovery. The scripts component uses them to verify frontmatter, resources, and safety constraints before generating the YAML profile.
Yes, the metadata generation process includes toxicity checks and safety constraints. It verifies optional resources and compliance rules to ensure the final YAML output is deployable and safe for tooling integration.
The best way to create machine-readable metadata from repository frontmatter is providing the Skill unit's root path. It auto-extracts and validates frontmatter to deliver a complete YAML metadata blueprint for indexing.
Yes, you can use the YAML output for repository indexing and documentation tooling. It produces a machine-friendly metadata bundle containing name, tagline, description, complexity, category, and keywords for seamless integration.
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