Validate notes in a knowledge base for schema compliance and quality criteria.
npx skills add https://github.com/zby/llm-do --skill validate-zby
Please help me install this Agent Skill. Skill: validate Source: https://github.com/zby/llm-do/tree/main/arscontexta/skills/arscontexta-validate Command: npx skills add https://github.com/zby/llm-do --skill validate-zby
This Skill ensures that your notes adhere to defined schemas and quality standards, preventing errors and improving consistency across your knowledge base.
Use the validate skill to check the schema compliance of the note titled 'vector proximity measures surface overlap not deep connection'.
High-intent search queries and answers about installing and using this skill.
To validate note schema, use specific commands like "/validate" to check required fields, enum values, description quality, and link health against domain-specific templates. This ensures structural integrity and consistency across your knowledge base documentation.
Schema validation for documentation notes checks structural integrity by verifying required fields and enum values against domain-specific templates. It also performs content quality checks to assess description length, clarity, uniqueness, and internal link health.
You need to run schema validation before archiving new research notes to ensure they include all necessary metadata, maintain informative descriptions, and contain internal links pointing to existing documents within your knowledge base.
Yes, you can verify link health and required fields automatically by triggering the validation process with a specific command. It automatically checks if all internal links point to existing documents and validates structural compliance against templates.
The best way to ensure note quality and schema compliance is to run an automated validation check against domain-specific templates. This process verifies required metadata, evaluates description clarity, and confirms internal links point to existing documents.
Note validation fails when documentation lacks required fields, contains invalid enum values, or has broken internal links. Running a quality check identifies missing metadata and ensures descriptions meet the length and clarity standards defined by the schema template.
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