ProfessorGPTProfessorGPT
Resmi Sağlayıcı Skill'iView repo

Create a new ArgoCD addon in this project. Use when adding a Kubernetes application deployed via ArgoCD and managed through Terraform, including the ArgoCD Application manifest, Terraform resources, and variables.

Dosyalar1 dosya
SKILL.md314 satır
Loading editor…

Kurulum

Önerilen

Tek komut — ajanınız otomatik olarak devreye alır.

Kurulum komutunu görmek için yukarıdan bir AI aracı seçin.

veya

Manuel Kurulum

Daha fazla adım

Dosyayı indirin ve ajanınızın sistem istemine yapıştırın.

Skill detayları

Versiyonv1.0.0
YazarAWS Labs
Kategoridevops
Skill IDawslabs/ai-on-eks/.kiro/skills/argocd-addon

İlgili skill'ler

NodepoolsCreate a new Karpenter NodePool in this project. Use when adding or configuring EC2 instance provisioning for workloads on EKS, including standard Karpenter and EKS Auto Mode nodepools, EFA networking for P-family instances, and toggle strategies.Aidlc JumpJump the active AI-DLC workflow to a stage or phase. A Cursor-native shortcut for `/aidlc --stage <target>` or `/aidlc --phase <target>`.Aidlc ScopeSet or change the AI-DLC workflow scope. A Cursor-native shortcut for `/aidlc --scope <name>`.Aidlc StatusShow the current AI-DLC workflow status without advancing or mutating it. A Cursor-native shortcut for `/aidlc --status`.Add App To ServerThis skill should be used when the user asks to "add an app to my MCP server", "add UI to my MCP server", "add a view to my MCP tool", "enrich MCP tools with UI", "add interactive UI to existing server", "add MCP Apps to my server", or needs to add interactive UI capabilities to an existing MCP server that already has tools. Provides guidance for analyzing existing tools and adding MCP Apps UI resources.Aidlc PortfolioCoordinate multiple AI-DLC workflows across repositories and Git worktrees using an evidence-backed portfolio catalog and deterministic workspace tooling. Use when initializing an AI-DLC portfolio workspace, discovering organization or business context, registering projects and dependencies, creating child intents and worktrees, validating dispatch readiness, monitoring parallel AI-DLC sessions, or synthesizing cross-project outcomes.