Exports Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export in Kubernetes environments, configuring Workload Identity, managing metric prefixes and resource labels, or correlating metrics with GCP services. Critical for GKE-based microservices with centralized observability in Google Cloud.
Quickly install python-micrometer-gcp-cloud-monitoring AI skill to your development environment via command line
Source: dawiddutoit/custom-claude.
See references/workload-identity-setup.md for complete Workload Identity setup.
| references/workload-identity-setup.md | Complete Workload Identity configuration guide | | references/dashboards-and-alerting.md | Create dashboards and alert policies with Terraform |
Exports Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export in Kubernetes environments, configuring Workload Identity, managing metric prefixes and resource labels, or correlating metrics with GCP services. Critical for GKE-based microservices with centralized observability in Google Cloud. Source: dawiddutoit/custom-claude.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dawiddutoit/custom-claude --skill python-micrometer-gcp-cloud-monitoring Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Stable fields and commands for AI/search citations.
npx skills add https://github.com/dawiddutoit/custom-claude --skill python-micrometer-gcp-cloud-monitoringExports Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export in Kubernetes environments, configuring Workload Identity, managing metric prefixes and resource labels, or correlating metrics with GCP services. Critical for GKE-based microservices with centralized observability in Google Cloud. Source: dawiddutoit/custom-claude.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dawiddutoit/custom-claude --skill python-micrometer-gcp-cloud-monitoring Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/dawiddutoit/custom-claude