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- Fixed CONTRIBUTING.md formatting

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- Removed metadata from gke-basics/SKILL.md for consistency with other skills

PiperOrigin-RevId: 925986817
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Cloud IX Team
2026-06-03 06:32:18 -07:00
committed by Copybara-Service
parent 31c6adb858
commit 5c249e804b
2 changed files with 9 additions and 9 deletions
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CONTRIBUTING.md
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@@ -12,11 +12,15 @@ rigorous internal verification and approval process by Google teams.
## How You Can Help
While we do not accept direct code contributions, your feedback is invaluable
for improving the quality of these skills: * **Report Issues:** If you find a
bug, an outdated SDK pattern, or a security anti-pattern in a skill, please
[open an issue](https://github.com/google/skills/issues). * **Request New
Skills:** If there is a Google product or a common cross-product architectural
pattern you would like to see covered, please let us know via the issue tracker.
for improving the quality of these skills:
* **Report Issues:** If you find a bug, an outdated SDK pattern, or a security
anti-pattern in a skill, please
[open an issue](https://github.com/google/skills/issues).
* **Request New Skills:** If there is a Google product or a common
cross-product architectural pattern you would like to see covered, please
let us know via the issue tracker.
* **Remix & Share:** You are encouraged to fork this repository and remix
these skills for your own specialized workflows. If you build something
skills/cloud/gke-basics/SKILL.md
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@@ -1,9 +1,5 @@
---
name: gke-basics
license: Apache-2.0
metadata:
author: Google Cloud
version: "1.0.0"
description: "Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class."
---