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Found 30 Skills
Use this whenever an OpenChoreo task needs a platform-level change or investigation: cluster setup, Helm upgrades, kubectl work, plane connectivity, platform resources, ComponentTypes, Traits, Workflows, gateways, secret stores, identity, GitOps, observability, or cluster-side debugging. If the same task also involves deploying or debugging an application through `occ`, activate `openchoreo-developer` too instead of waiting to escalate later.
Manage OpenCode's permission rules in opencode.jsonc — add, remove, or list auto-approval rules for Bash commands and tool invocations so the agent stops asking for confirmation on every single command. Use whenever the user wants to auto-approve, deny, or require confirmation for a shell command, even if they don't mention "permission" or "opencode.jsonc" directly. Triggers on "允许 kubectl get *", "拒绝 rm -rf", "auto-approve npm run build", "总是执行 git status", "add permission rule", "list my permissions", "查看权限", "添加权限", "移除权限", "把 X 加到允许列表", "skip confirmation for", and similar — even if the user doesn't explicitly mention OpenCode's config.
Orchestrate a specialized software development agent team. Receive user requests, classify task type, select the matching workflow, delegate each step to specialist agents via the Agent tool, and assemble the final output. Use when the user needs multi-step software development involving architecture, implementation, testing, security review, or code review. Also use for production incident investigation — when the user reports a live system issue, service outage, pod crash, data anomaly, or needs root cause analysis using kubectl, psql, argocd, or docker. Trigger this skill whenever a task involves more than one concern (e.g., "add a new endpoint" needs BA + Architect + Developer + QA + Security), when the user mentions team coordination, agent delegation, or when the work clearly benefits from multiple specialist perspectives rather than a single implementation pass.
World-class Kubernetes operations - deployments, debugging, Helm charts, and the battle scars from managing clusters that serve millions of requestsUse when "kubernetes, k8s, kubectl, helm, pod, deployment, service, ingress, configmap, secret, statefulset, daemonset, hpa, pvc, crashloopbackoff, imagepullbackoff, oomkilled, liveness probe, readiness probe, kubernetes, k8s, containers, docker, helm, deployment, devops, cloud-native" mentioned.
This skill should be used when users need to manage AWS EKS clusters via eksctl CLI. It covers cluster creation, nodegroup management, addon operations, IAM integration, and cluster upgrades. Complements kubectl for cluster-level operations. Triggers on requests mentioning eksctl, EKS cluster management, nodegroups, EKS addons, or Kubernetes cluster infrastructure on AWS.
Manage GPU compute jobs on the Qizhi (启智) platform using qzcli — a kubectl-style CLI tool. Use when user says "qzcli", "启智平台", "submit job", "stop job", "查计算组", "avail", "list jobs", "batch submit", or needs to manage distributed training jobs on a Qizhi instance.
SSH operations for remote server management, tunneling, and proxy-based connections. Use when connecting to remote servers, running remote commands, setting up SSH tunnels, port forwarding, managing jump hosts/bastions, or executing kubectl/k9s on remote clusters. Triggers on SSH, remote, tunnel, bastion, jump host, port forward, or remote kubernetes access.
Use for kubectl, CNPG, and kustomize/helm operations in this repo, including rollouts and cluster debugging.
Kubernetes cluster management and troubleshooting. Query pods, deployments, services, logs, and events. Supports context switching, scaling, and rollout management. Use for Kubernetes debugging, monitoring, and operations.
Comprehensive Kubernetes cluster health diagnostics using dynamic API discovery. Use when checking cluster health, troubleshooting K8s issues, or running health assessments.
Docker and Kubernetes patterns. Triggers on: Dockerfile, docker-compose, kubernetes, k8s, helm, pod, deployment, service, ingress, container, image.
Systematic debugging workflows for Kubernetes issues including pod failures, resource problems, and networking. Use when debugging CrashLoopBackOff, OOMKilled, ImagePullBackOff, pod not starting, k8s issues, or any Kubernetes troubleshooting.