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gcx-observability

Provision Grafana Cloud instrumentation, SLOs, alerts, synthetic monitoring, k6 tests, and dashboards.

535|42|Updated Mar 23, 2026
Search Tags:#automation#observability#grafana#k6#slo#synthetic-monitoring#gcx
One-click install
npx skills add https://github.com/grafana/gcx --skill gcx-observability
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gcx-observability
Source: https://github.com/grafana/gcx/tree/main/claude-plugin/skills/gcx-observability
Command: npx skills add https://github.com/grafana/gcx --skill gcx-observability

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This experimental, end-to-end observability setup workflow helps Grafana Cloud users instrument their apps, define SLOs, configure alerting, deploy synthetic monitoring, run k6 load tests, enable IRM on-call, create dashboards, and export GitOps-ready manifests, all in a guided pipeline.

Core Features & Use Cases

  • End-to-end observability setup for Grafana Cloud across instrumentation, SLOs, alerting, synthetic monitoring, k6 load testing, IRM on-call, dashboards, and GitOps export.
  • Test-driven, phase-based workflow that validates signals from instrumentation through to dashboards and alerts, reusing templates and checks to reduce manual toil.
  • Flexible, multi-journey support with per-journey SLO definitions, synthetic checks, alert routing, and dashboard provisioning to accelerate production readiness.

Quick Start

Run gcx gcx-observability to start an end-to-end Grafana observability setup workflow.

Frequently Asked Questions about gcx-observability

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

FAQPage Schema
How do I automate Grafana Cloud observability setup end-to-end?▼

Automate Grafana Cloud observability by provisioning instrumentation, SLOs, alerts, synthetic monitoring, k6 load tests, and dashboards through a guided, phase-driven deployment pipeline.

Can I define per-journey SLOs and synthetic checks in Grafana Cloud?▼

Yes, per-journey SLO definitions, synthetic checks, alert routing, and dashboard provisioning are supported to accelerate production readiness across multiple service journeys.

How do I validate that Grafana observability signals flow from collection to alerting?▼

Validate signal flow using a test-driven, phase-based workflow that checks health across the stack, verifying signals from instrumentation through to dashboards and alerts.

Does this Grafana observability automation support exporting GitOps-ready manifests?▼

Yes, the guided observability pipeline exports GitOps-ready manifests, enabling infrastructure-as-code management for provisioned Grafana Cloud resources.

What do I need to configure before running k6 load tests with Grafana Cloud?▼

You need a Grafana Cloud environment configured for k6 load testing, alongside provisioned instrumentation and dashboards to capture, visualize, and verify performance metrics.

Why use a phase-driven workflow for Grafana observability automation?▼

A phase-driven workflow reuses templates and discovery steps to generate resources, reducing manual toil and ensuring every observability layer is validated before moving to the next.

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