Alternatives to kubernetes-patterns
50 AI Skills apps to use instead, best rated first.
Top picks
- W

webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
- C

content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O

openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- B

batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- I

implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F

frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
More AI Skills apps

brainstorming
Transform rough ideas into fully-formed designs through structured questioning

finishing-a-development-branch
Guides completion of development work by presenting clear options

test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About kubernetes-patterns

kubernetes-patterns
Kubernetes workload patterns, resource management, RBAC, probes, autoscaling
kubernetes-patterns is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It sets out production patterns for deploying, managing and debugging workloads on Kubernetes. It covers writing manifests for Deployments, Services, Ingress and Jobs, setting resource requests and limits, liveness and readiness probes, RBAC with namespaces and service accounts, configuration and secrets handling through ConfigMaps and Secrets, horizontal pod autoscaling and pod disruption budgets, and reviewing YAML for security or correctness. It includes a debugging guide for common failures such as CrashLoopBackOff, OOMKilled, pending pods and image pull errors, using kubectl. The skill applies whenever an agent writes, reviews or debugs Kubernetes YAML and workloads. A skill is a SKILL.md file of instructions that an AI agent loads when a task calls for it. It is free and open source, and the skills.sh listing shows a Snyk fail, with Gen Agent Trust Hub and Socket passing, so review it before installing.
- Price
- Free
- Made by
- affaan-m
- Category
- AI Skills
- Website
- github.com/affaan-m/ecc/kubernetes-patterns
