kubernetes-deployment
Deploy, manage, and scale containerized applications on Kubernetes clusters with best practices for production workloads, resource management, and rolling updates.
- Installs
- 745
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill kubernetes-deployment- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads kubernetes-deployment automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Kubernetes Deployment
Table of Contents
Overview
Master Kubernetes deployments for managing containerized applications at scale, including multi-container services, resource allocation, health checks, and rolling deployment strategies.
When to Use
- Container orchestration and management
- Multi-environment deployments (dev, staging, prod)
- Auto-scaling microservices
- Rolling updates and blue-green deployments
- Service discovery and load balancing
- Resource quota and limit management
- Pod networking and security policies
Quick Start
Minimal working example:
# kubernetes-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: api-service
namespace: production
labels:
app: api-service
version: v1
spec:
replicas: 3
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
selector:
matchLabels:
app: api-service
template:
metadata:
labels:
app: api-service
version: v1
annotations:
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Complete Deployment with Resource Management | Complete Deployment with Resource Management |
| Deployment Script | Deployment Script |
| Service Account and RBAC | Service Account and RBAC |
Best Practices
✅ DO
- Use resource requests and limits
- Implement health checks (liveness, readiness)
- Use ConfigMaps for configuration
- Apply security context restrictions
- Use service accounts and RBAC
- Implement pod anti-affinity
- Use namespaces for isolation
- Enable pod security policies
❌ DON'T
- Use latest image tags in production
- Run containers as root
- Set unlimited resource usage
- Skip readiness probes
- Deploy without resource limits
- Mix configurations in container images
- Use default service accounts
FAQ
What does the kubernetes-deployment skill do?
Deploy, manage, and scale containerized applications on Kubernetes clusters with best practices for production workloads, resource management, and rolling updates.
How do I install kubernetes-deployment?
Run npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill kubernetes-deployment in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/kubernetes-deployment/ (personal) or .claude/skills/kubernetes-deployment/ (project).
Which AI agents can use kubernetes-deployment?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is kubernetes-deployment safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains kubernetes-deployment?
It is published by aj-geddes in aj-geddes/useful-ai-prompts. It has 745 recorded installs.
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