Infer typed schemas from Markdown frontmatter and validate files.
npx skills add https://github.com/edochi/mdvs --skill mdvs
Please help me install this Agent Skill. Skill: mdvs Source: https://github.com/edochi/mdvs/tree/main/skills/mdvs Command: npx skills add https://github.com/edochi/mdvs --skill mdvs
Markdown directories often rely on frontmatter to describe documents, but without a centralized schema or robust validation, inconsistencies creep in and semantic search is hampered.
Run mdvs init <path> to infer a schema and validate frontmatter for your markdown directory.
High-intent search queries and answers about installing and using this skill.
You can validate frontmatter by running mdvs init on a directory to infer a typed schema, generating an mdvs.toml config, and then running check to validate Markdown files against the inferred rules.
Yes, you can perform semantic search within a Markdown vault by running build to index the directory for meaning-based retrieval, followed by search to query documents with SQL-based filtering.
Inferring a schema from Markdown frontmatter is best handled by running the init command, which analyzes existing files to generate a centralized mdvs.toml configuration for validation.
You can incrementally update validation rules by modifying the mdvs.toml file and running the update command, which applies the new schema rules and stores artifacts in the .mdvs/ directory.
Yes, the validation and semantic search mechanisms apply to any directory of Markdown files, enabling schema inference and validation across and within nested subdirectories.
A schema is needed to prevent inconsistencies in frontmatter across Markdown files, enabling robust validation and meaning-based semantic search that would otherwise be hampered by decentralized data.
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