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Sets up a long-running Maestro cluster environment using Azure ARO-HCP infrastructure with both service and management clusters
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
This skill should be used when tracing ManifestWork resources through the Maestro system to find relationships between user-created work names, resource IDs, and applied manifests, or to debug manifest application issues across the management cluster and database.
This skill should be used when tracing resource requests through the Maestro system to debug resource lifecycle issues, track request flow from client to agent and back, or troubleshoot failures in resource creation, update, or deletion operations across the server-agent-server pipeline. Supports both Kubernetes log files and ARO HCP Kusto CSV exports.
Diagnoses failed Maestro cluster deployments by analyzing Helm releases, pod status, and resource conflicts
Runs end-to-end or upgrade tests on existing long-running Maestro clusters deployed in Azure AKS
SOC 직업 분류 기준
| name | setup-maestro-cluster |
| description | Sets up a long-running Maestro cluster environment using Azure ARO-HCP infrastructure with both service and management clusters |
| category | Infrastructure |
| tags | ["azure","aks","maestro","deployment","cluster","aro-hcp"] |
Sets up a long-running Maestro cluster environment using Azure ARO-HCP infrastructure. This will deploy both service and management clusters.
Prerequisites:
Environment variables set:
USER=oasis (if not already set)PERSIST=trueGITHUB_ACTIONS=trueGOTOOLCHAIN=go1.24.4Note: This deployment typically takes 25-30 minutes to complete.
#!/bin/bash
# Execute the cluster setup script
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
exec "$SCRIPT_DIR/scripts/setup.sh" "$@"