diagnose-maestro-deployment
Installation
SKILL.md
Diagnose Maestro Deployment
Automatically diagnoses failed Maestro cluster deployments by:
- Analyzing deployment output to identify resource groups and cluster names
- Checking Helm release status in both service and management clusters
- Inspecting pod states and error conditions
- Identifying resource conflicts and timing issues
- Generating a detailed analysis report with root cause and recommendations
Prerequisites:
- Azure CLI installed and logged in
- kubectl and kubelogin installed
- Access to the failed deployment output or cluster information
Usage:
# Diagnose using deployment output file
diagnose-maestro-deployment /path/to/deployment.output