What problem does it solve?
After major refactors or risky infrastructure changes to the kube-hetzner Terraform module, teams need more than pass/fail test reports—they need failures diagnosed, root causes fixed, and full regression proof before release. This Skill automates that entire stabilization cycle.
Core Features & Use Cases
- Full Matrix Testing: Runs the v3 scenario matrix covering k3s/RKE2, autoscaler, Leap Micro/MicroOS, and multi-architecture deployments via the kube-test harness.
- Proactive Debugging: SSHes into nodes during applies to inspect journalctl, cloud-init, and k3s/RKE2 services instead of waiting for timeouts.
- Fix-and-Retest Loop: Applies minimal root-cause fixes in the module, reruns failed scenarios, then reruns the full matrix to guard against regressions.
- Upgrade Path Validation: Builds clusters from the latest git tag and upgrades them to the release-candidate branch for both k3s and RKE2.
- Use Case: After refactoring the snapshot build pipeline, invoke this Skill to run all seven matrix scenarios, fix a stale Leap Micro signing key at the packer stage, and validate the tag-to-release-candidate upgrade before pushing.
Quick Start
Ask the AI to run the full kube-hetzner v3 stabilization loop end-to-end, fixing any matrix failures and validating the upgrade path from the latest tag.