oma-observability

Automate deployment and configuration of observability stacks for cloud-native systems.

5|3|Updated Mar 11, 2026

Search Tags:#automation #monitoring #logs #metrics #profiling #observability #traces

Ready to run

npx skills add https://github.com/ddarkr/antigravity-token-monitor --skill oma-observability-ddarkr

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: oma-observability
Source: https://github.com/ddarkr/antigravity-token-monitor/tree/main/.agents/skills/oma-observability
Command: npx skills add https://github.com/ddarkr/antigravity-token-monitor --skill oma-observability-ddarkr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Grafana, Prometheus, OpenTelemetry, Terraform, Kubernetes, Argo CD, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the deployment, configuration, and management of comprehensive observability stacks, enabling teams to quickly establish reliable monitoring and troubleshooting capabilities.

Core Features & Use Cases

Unified Monitoring Setup: Automates the installation and configuration of metrics, logs, traces, and profiling tools across cloud-native environments.
Template-Driven Dashboards & Alerting: Generates version-controlled dashboards and alert rules aligned with best practices.
Use Case: Rapidly deploys a scalable observability pipeline on Kubernetes, with integrated dashboards, alerting, and retention policies, reducing manual effort and misconfiguration.

Quick Start

Invoke this Skill with your system context to set up a complete observability stack tailored to your environment and needs.

Frequently Asked Questions about oma-observability

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate observability deployment for metrics, logs, and traces on Kubernetes?▼

Automating observability deployment on Kubernetes involves configuring metrics, logs, traces, and profiling tools using GitOps workflows like Argo CD. This ensures proper retention, dashboard templates, and alerting rules are applied consistently at scale across cloud-native systems.

Can I use Terraform and Argo CD to manage Grafana dashboards and Prometheus alerting rules?▼

Yes, using Terraform and Argo CD to manage Grafana dashboards and Prometheus alerting rules provides template-driven, version-controlled configurations. This approach aligns alerting and dashboard setups with best practices across multi-cloud and multi-tenant environments for scalable systems.

Does this observability automation support multi-cloud and multi-tenant high-availability deployments?▼

Yes, this observability automation supports multi-cloud, multi-tenant, and high-availability deployments. It ensures proper retention policies, security practices, and comprehensive monitoring are applied across diverse cloud-native systems to improve troubleshooting efficiency.

What is the best way to set up a complete OpenTelemetry pipeline for system profiling and traces?▼

The best way to set up an OpenTelemetry pipeline for profiling and traces is by automating the deployment and configuration of observability tools. This integrates metrics, logs, and traces comprehensively while applying security practices and retention policies at scale.

Why use automated template-driven dashboards for cloud-native monitoring instead of manual configuration?▼

Using automated template-driven dashboards for cloud-native monitoring reduces manual effort and misconfiguration risks. It generates version-controlled dashboards and alert rules aligned with best practices, ensuring reliable system reliability and troubleshooting across scalable environments.