Update Dashboard Skill

You can automate status dashboard updates by running a skill that aggregates counts from workflow directories like Needs_Action, Plans, Done, and Pending_Approval, then writes them to a Markdown dashboard file.

A system monitoring dashboard for AI operations should track item counts across workflow stages, processing rates, and the last updated timestamp to maintain visibility into performance and system health.

To generate automated reporting from workflow directories, you run a process that consolidates file counts from stages like Pending_Approval and Done, calculates processing rates, and logs the results into a central Markdown file.

Yes, you can use a Markdown dashboard for real-time monitoring without external dependencies. The skill updates a Markdown file directly by reading workflow directories and calculating current system statistics.

You should refresh your AI status dashboard after completing a batch of tasks. This ensures the dashboard displays the latest progress counts, processing rates, and system health metrics to stakeholders.