sync-artifact-scale

To automatically add YAML frontmatter and sync Markdown files, this tool validates required metadata fields and mirrors your deliverables to the ai-blogs workbench. It auto-derives provenance data from your Git context to ensure artifacts remain visible and organized.

Markdown deliverables get orphaned without standardized frontmatter capturing author, source, and session data. This tool solves that by automatically generating required YAML fields from your Git context and mirroring the artifacts to the workbench.

The best way to keep Markdown artifacts organized is to mirror them into structured project and section paths. This tool automatically derives repository and session data from Git, writing mirrored copies to the workbench under organized directory structures.

Yes, you can auto-derive author, source, repo, and branch metadata directly from your Git context. The tool extracts this provenance information automatically and writes it into the required YAML frontmatter fields of your Markdown artifacts.

No, you do not need to manually normalize tags or validate frontmatter fields. The tool enforces required fields and automatically normalizes tags to ensure consistent searchability and discovery across the mirrored workbench artifacts.

To sync a Markdown artifact after finishing a plan, run the sync_artifact.py script with your artifact details. It will generate the required frontmatter, write a local copy under docs/plans, and publish a mirrored copy to the workbench.