Update YAML frontmatter in Markdown files with review statuses and metadata.
npx skills add https://github.com/hhellbusch/my-ai-workspace --skill validate-hhellbusch
Please help me install this Agent Skill. Skill: validate Source: https://github.com/hhellbusch/my-ai-workspace/tree/main/.agents/skills/validate Command: npx skills add https://github.com/hhellbusch/my-ai-workspace --skill validate-hhellbusch
This Skill streamlines the process of tracking whether files have been reviewed and validated by humans, facilitating quality assurance and version control.
Use this skill to mark docs/api-reference.md as 'read' and 'voice-approved' with notes indicating the date of review.
High-intent search queries and answers about installing and using this skill.
To track human-reviewed Markdown files, you can programmatically mark individual files or directories with validation types such as 'read' or 'fact-checked'. This process automatically inserts review metadata, including timestamps and commit SHAs, into YAML frontmatter for future reference.
Adding review status to YAML frontmatter involves programmatically updating or inserting validation metadata directly into the file headers. You can mark files with specific validation types like 'read' or 'used-in-practice' and include optional notes indicating the review date.
Yes, you can mark an entire directory of documentation files as validated simultaneously. The validation recording feature supports applying review statuses and updating YAML frontmatter metadata across bulk file collections.
You can record multiple validation types for technical documentation, including 'read', 'fact-checked', and 'used-in-practice'. These statuses track the specific human review actions performed on the content.
No, this YAML frontmatter validation process requires no external dependencies. It operates independently using scripts to parse Markdown files and update metadata headers.
The best way to maintain quality control for research notes is programmatically marking files as reviewed or approved. By updating YAML frontmatter with timestamps and commit SHAs, you ensure high content standards and facilitate version control.
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