edge-ocp-ci:generate-dashboard

To generate an OpenShift CI dashboard, this Skill orchestrates a payload-monitor run and follow-on blocking-job analysis to fetch Prow failures across edge topologies and patch AI root-cause analysis into an interactive HTML report.

AI-enriched root cause analysis for Prow failures automatically parses blocking-job markers from SNO, TNA, and TNF nightly payload streams, invokes deep analysis skills, and writes a compact JSON merged into an interactive HTML dashboard for fast triage.

You can identify blocking jobs by running a payload-monitor that targets OpenShift release streams, highlights blocking failures on edge topologies, and generates actionable next-step guidance for engineers.

Yes, generating the interactive HTML dashboard requires Python3 along with Jinja2, requests, gsutil, and click dependencies to orchestrate the payload monitoring and template the analysis report.

The best way to triage OpenShift payload failures is to generate an AI-enriched dashboard that automatically merges root-cause analysis and next-step guidance for blocking jobs into a single interactive HTML report.

Missing blocking-job analysis in the dashboard occurs when the payload-monitor fails to parse blocking-job markers or cannot invoke the appropriate deep analysis skills to write the compact analysis JSON into the final HTML report.