What problem does it solve? Setting up full-stack observability in Grafana Cloud involves many disconnected steps—instrumentation, SLOs, alerting, synthetic checks, load testing, on-call routing, dashboards, and cost controls—that are easy to misconfigure or skip. This Skill orchestrates the entire workflow through the gcx CLI with a test-driven approach, so every signal has a defined health contract before infrastructure is deployed. ## Core Features & Use Cases - Phased Setup Workflow: Runs 12 phases from bootstrap and discovery through instrumentation, SLO-based alerting, synthetic monitoring, k6 load testing, IRM on-call, dashboards, adaptive telemetry, GitOps export, and final review. - Test-First Definitions: Defines SLO targets, k6 thresholds, and synthetic check assertions up front (Phase 2) so later phases deploy infrastructure to satisfy them. - Parallel Execution with Verification: Uses concurrent agents for independent resources, idempotency pre-checks, and post-creation verification for every resource. - Use Case: A platform engineer onboarding a Kubernetes application to Grafana Cloud runs phases 0–11 to get Alloy collectors, SLO burn-rate alerts routed through IRM, scheduled k6 tests, and a GitOps-exported YAML tree in one guided session. ## Quick Start Ask the assistant to set up full Grafana Cloud observability for your application using the gcx-observability skill, optionally specifying phases like "0 1 2" or "all".
