skills/smithery.ai/diagnose-maestro-deployment

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
Installs
1
First Seen
Mar 19, 2026
diagnose-maestro-deployment from smithery.ai