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ck:devops

Deploy cloud and container infrastructure across Cloudflare, Docker, Google Cloud, and Kubernetes.

Updated May 10, 2026
Search Tags:#deployment#gcp#kubernetes#docker#cloudflare#wrangler#cicd
One-click install
npx skills add https://github.com/dthuy62/kollet-app --skill ck-devops-dthuy62
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ck:devops
Source: https://github.com/dthuy62/kollet-app/tree/main/.opencode/skills/devops
Command: npx skills add https://github.com/dthuy62/kollet-app --skill ck-devops-dthuy62

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, pytest-cov, pytest-mock, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill removes the friction of deploying, operating, and troubleshooting modern cloud infrastructure across edge platforms, containers, and Kubernetes so you can move from setup to release with fewer manual steps.

Core Features & Use Cases

  • Cloudflare Operations: Deploy and manage Workers, Pages, R2, D1, KV, browser rendering, and edge workflows with platform-specific guidance.
  • Container Delivery: Build, run, optimize, and compose Docker-based services for repeatable local development and production releases.
  • Google Cloud & Kubernetes: Handle Cloud Run, GKE, gcloud authentication, kubectl debugging, Helm charts, security, and GitOps workflows.
  • Automation & Analysis: Use bundled scripts to deploy Cloudflare workers and review Dockerfiles for security, caching, and image-size improvements.
  • Use Case: A platform engineer can use this Skill to prepare a production deploy, validate Kubernetes manifests, and optimize a container image in one workflow.

Quick Start

Ask the DevOps skill to deploy your app, optimize its container, or guide a Cloudflare, GCP, or Kubernetes release for your current project.

Frequently Asked Questions about ck:devops

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

FAQPage Schema
How do I deploy Cloudflare Workers and manage R2 storage without manual command juggling?▼

To deploy Cloudflare Workers and manage R2 storage, you can use automation scripts and platform-specific guidance that handle wrangler commands for you. This removes manual setup by providing operational guidance for Workers, Pages, R2, D1, and KV.

Can I use Python scripts to analyze and optimize my Dockerfiles for image size and security?▼

Yes, you can use Python-based automation scripts to analyze Dockerfiles for security, caching, and image-size improvements. These scripts run using pytest, pytest-cov, and pytest-mock to validate your container delivery workflow.

What's the best way to troubleshoot Kubernetes deployments and validate manifests on GKE?▼

The best way to troubleshoot Kubernetes deployments on GKE is to use bundled operational guidance for kubectl debugging and Helm charts. This workflow helps validate Kubernetes manifests, handle gcloud authentication, and manage GitOps workflows.

Do I need gcloud and kubectl installed to handle Google Cloud Run and GKE deployment workflows?▼

Yes, you need gcloud and kubectl installed to handle Google Cloud Run and GKE deployment workflows. The operational guidance requires wrangler, Docker, gcloud, kubectl, and Helm-compatible setups to deploy clusters and containers.

How do I build and compose Docker-based services for repeatable local development and production releases?▼

You can build and compose Docker-based services for repeatable local development by following container delivery guidance. This workflow helps you build, run, and optimize Docker images for production releases without manual command friction.

Why does my Cloudflare edge workflow deployment fail without proper wrangler setup?▼

Cloudflare edge workflow deployments fail without proper wrangler setup because the platform requires specific operational guidance for browser rendering and edge configurations. Using bundled automation scripts ensures your wrangler deployment commands execute correctly.

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