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iceflower
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k8s-workflow

Define Kubernetes manifest conventions, resource limits, security contexts, and health probes.

1|Updated Mar 16, 2026
Search Tags:#workflow#best practices#deployment#security#kubernetes#manifests#k8s
One-click install
npx skills add https://github.com/iceflower/opencode-agents-and-skills --skill k8s-workflow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: k8s-workflow
Source: https://github.com/iceflower/opencode-agents-and-skills/tree/main/skills/k8s-workflow
Command: npx skills add https://github.com/iceflower/opencode-agents-and-skills --skill k8s-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive set of rules and best practices for authoring Kubernetes manifests, managing deployments, and ensuring secure, efficient cluster operations.

Core Features & Use Cases

  • Manifest Conventions: Standardizes naming, labels, and annotations for Kubernetes resources.
  • Resource Management: Guides on setting resource requests and limits for optimal performance and stability.
  • Security Best Practices: Enforces secure configurations for pods and secrets.
  • Health Checks: Defines essential liveness, readiness, and startup probes.
  • Version Management: Provides insights into Kubernetes version support and upgrade planning.
  • Use Case: Ensure all your Kubernetes deployments follow consistent naming conventions, have appropriate resource limits defined, and adhere to security best practices by using this Skill's guidelines.

Quick Start

Apply the k8s-workflow skill to generate a standard Kubernetes Deployment manifest for a new microservice.

Frequently Asked Questions about k8s-workflow

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

FAQPage Schema
What are the best practices for Kubernetes manifest conventions and resource management?▼

Kubernetes manifest best practices involve standardizing naming, labels, and annotations, alongside setting precise resource requests and limits to ensure optimal cluster performance and stability.

How do I configure security contexts and health checks for Kubernetes deployments?▼

Configuring Kubernetes security contexts enforces secure pod and secret configurations, while defining liveness, readiness, and startup probes ensures reliable health checks for production-ready deployments.

How do I generate a standard Kubernetes deployment manifest for a microservice?▼

Generate a standard Kubernetes deployment manifest by applying rules for consistent naming conventions, appropriate resource limits, and security contexts to ensure efficient cluster operations for your microservice.

Does this Kubernetes workflow guidance cover version management and upgrade planning?▼

Yes, this Kubernetes workflow guidance provides insights into Kubernetes version support and upgrade planning to help you maintain production-ready deployments and manage version transitions effectively.

Why do I need to define liveness, readiness, and startup probes in Kubernetes?▼

Defining liveness, readiness, and startup probes in Kubernetes is essential for health checks, ensuring your deployments maintain optimal stability and efficient cluster operations during production workloads.

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