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Found 329 Skills
Use this skill for Sealtun-specific local-to-public tunnel work or Sealtun repo maintenance/release. Trigger for sealtun, sealtun.yaml, Sealos tunnel, ngrok/cloudflared-style tunnel, expose localhost/local port/local dev server, public HTTPS URL/domain for local app, public SSH/TCP tunnel, NodePort SSH, ProxyCommand fallback, webhook/payment/OAuth/bot callback to local service, preview/demo link, custom domain/CNAME, Basic Auth, Bearer token, IP allowlist/denylist, temporary access links, ttl auto-expire, apply/diff multi-tunnel config, stop/start/resume, cleanup, daemon/session/logs/metrics/dashboard/doctor, npm binary packages, GitHub Release, GoReleaser, GHCR. Chinese triggers: 内网穿透, 本地服务公网访问, 本地端口暴露, localhost 暴露到公网, 公网预览链接, 公网域名, 公网 SSH, SSH 隧道, TCP 隧道, 第三方回调到本地, 隧道认证, 访问控制, 声明式配置, 发版. Do not use for generic Kubernetes/Ingress/DNS/SSH unless Sealtun is involved.
Use when launching cloud VMs, Kubernetes pods, or Slurm jobs for GPU/TPU/CPU workloads, training or fine-tuning models on cloud GPUs, deploying inference servers (vllm, TGI, etc.) with autoscaling, writing or debugging SkyPilot task YAML files, using spot/preemptible instances for cost savings, comparing GPU prices across clouds, managing compute across 25+ clouds, Kubernetes, Slurm, and on-prem clusters with failover between them, troubleshooting resource availability or SkyPilot errors, or optimizing cost and GPU availability.
This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms. Ideal for Next.js, React, Node.js applications requiring containerization for development, production, or CI/CD pipelines. Use this skill when users need Docker configurations, multi-stage builds, container orchestration, or deployment to Kubernetes, ECS, Cloud Run, etc.
Expert-level Kamal deployment guidance for deploying containerized applications to any server. Use this skill when users ask about Kamal, container deployment, zero-downtime deployments, deploying Rails/web apps to VPS/cloud servers, kamal setup, kamal deploy, Docker deployment without Kubernetes, or deploying to Hetzner/DigitalOcean/AWS with Kamal. Also use when users mention DHH's deployment tool, 37signals deployment, or want an alternative to Heroku/Render/Vercel with self-hosted infrastructure.
Expert knowledge for Azure Static Web Apps development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring SWA APIs to Azure DBs, configuring custom domains/auth, CI/CD, preview slots, or Front Door/CDN, and other Azure Static Web Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Functions (use azure-functions), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service).
Expert knowledge for Azure Functions development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building HTTP/queue/event-triggered Functions, Durable orchestrations, containerized Functions, CI/CD, or Dapr/OpenAI integrations, and other Azure Functions related development tasks. Not for Azure App Service (use azure-app-service), Azure Logic Apps (use azure-logic-apps), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service).
Run AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm selection (bayesian, hyperband, asha, bohb, llm, hybrid, autoresearch), WandB experiment tracking, job execution on any TAO SDK platform, result interpretation, and per-rec custom evaluation hooks. Use when the user mentions TAO AutoML, hyperparameter optimization, HPO, automl, automl_settings, AutoMLRunner, tao_automl, bayesian search, hyperband, ASHA, LLM-guided search, autoresearch, or wants to tune training hyperparameters for any TAO network. Platform-agnostic — runs on any SDK (Lepton, Brev, SLURM, Kubernetes, Docker).
WHEN: Dockerfile review, multi-stage builds, layer optimization, docker-compose WHAT: Image optimization + Layer caching + Security scanning + Compose best practices + Build efficiency WHEN NOT: Kubernetes → k8s-reviewer, Terraform → terraform-reviewer
Netflix Eureka for service discovery in Spring Cloud microservices. Covers Eureka Server, Eureka Client, registration, and health checks. USE WHEN: user mentions "eureka", "service discovery", "service registry", "@EnableEurekaServer", "@EnableDiscoveryClient", "eureka dashboard" DO NOT USE FOR: Kubernetes service discovery - use native K8s, Consul - use Consul-specific patterns
Interactive AI-driven game for learning Docker, Linux, networking, and Kubernetes through story-driven challenges in your AI editor.
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Kubernetes API analysis, service-account trust, RBAC edges, admission and controller behavior, cluster secrets, workload mutation, and namespace-scoped drift. Use when the user asks to inspect kube API permissions, service-account tokens, RoleBinding or ClusterRoleBinding edges, admission webhooks, controller-created pods, secret exposure, or why live workloads differ from manifests. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
Terraform and OpenTofu infrastructure as code — module design, state management, multi-environment setups, remote backends, secrets management, CI/CD integration. NOT for Pulumi, CDK, Ansible, or Kubernetes manifests.