Red Hat OpenShift Online
Official@openshift-online
Offers specialized diagnostic and gap analysis capabilities for managing multi-cluster Kubernetes deployments, upgrade paths, and cloud-native credential policies.
Agent Skills by Red Hat OpenShift Online
Showing 15 vetted skills indexed across 2 GitHub repositories.
analyze-prow-failure
Analyze Prow CI job failures from JSON reports and GCS artifacts.
ocm-version-gate-gap
Analyze OCM version gate configurations for OpenShift upgrade releases.
aws-sts-gap
Compare AWS STS IAM policies between OpenShift versions and generate reports.
full-gap-analysis
Identify policy and feature gate differences between OpenShift versions using Python scripts.
prow-autofix
Analyze Prow job failures and create pull requests with generated fixes.
feature-gates-gap
Analyze OpenShift feature gates between two versions via the Sippy API.
gcp-wif-gap
Identify GCP Workload Identity Federation policy gaps between OpenShift versions.
versions-channels-gap
Validate OpenShift version release channels and upgrade paths via the Cincinnati API.
fix-prow-failure
Generate fixes for Prow CI validation failures in OpenShift credential policies.
ocp-gate-ack-gap
Analyze OCP admin gate acknowledgments and generate HTML and JSON reports.
trace-manifestwork
Trace ManifestWork lifecycles across Maestro clusters via kubectl and jq.
run-e2e-tests
Run end-to-end and upgrade tests on Azure AKS Maestro clusters.
trace-resource-request
Trace resource requests through the Maestro client-server-broker-agent pipeline using Kubernetes logs or Azure Kusto CSV exports.
setup-maestro-cluster
Deploy a Maestro cluster on Azure with ARO-HCP service and management clusters.
diagnose-maestro-deployment
Diagnose failed Maestro cluster deployments by analyzing Helm releases, pod status, and resource conflicts.
Frequently Asked Questions About Red Hat OpenShift Online
FAQPage SchemaWhat specific tasks can engineers perform using these capabilities?▼
Engineers can perform cross-version gap analysis for feature gates, validate upgrade release channels, and diagnose deployment failures within Maestro clusters. These capabilities enable precise tracking of resource requests, credential policy auditing, and the resolution of CI validation failures through automated report generation and configuration comparison.
Which personas benefit most from these diagnostic capabilities?▼
Site Reliability Engineers, platform architects, and release engineers managing large-scale OpenShift environments benefit most. These capabilities are designed for technical teams responsible for maintaining cluster health, ensuring compliance with cloud-provider identity policies, and managing complex upgrade lifecycles across distributed management and service clusters.
What are the prerequisites for running these diagnostic and analysis tasks?▼
Execution requires access to Kubernetes environments, specifically Maestro clusters, and connectivity to cloud provider interfaces like Azure Kusto, AWS IAM, or GCP WIF. Users must have appropriate permissions to query cluster logs, Helm releases, and external service endpoints like the Cincinnati or Sippy interfaces.