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Deploy Caddy (no Docker) on a remote Linux host to expose a local HTTP backend as trusted HTTPS, prioritizing first-party domain + Let's Encrypt (HTTP-01), with DuckDNS DNS-01 fallback, low-bandwidth binary transfer fallback, verification, and rollback.
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.
Use when working with Terraform (.tf, .tfvars), Ansible (playbooks, roles, inventory), Docker (Dockerfile, docker-compose.yml), Kubernetes (manifests, Helm charts), CloudFormation, or any infrastructure-as-code files. Also use when running terraform plan/apply, building Docker images, writing Helm templates, or when IaC changes touch security groups, IAM policies, or secrets. Provides validation workflows, tool chains, and common mistake prevention.
Lists available playgrounds from the catalog. Use when you need to find which predefined playgrounds exist (e.g., ubuntu-24-04, docker, k3s) for assigning to content.
Create Docker containers for Huawei Ascend NPU development with proper device mappings and volume mounts. Use when setting up Ascend development environments in Docker, running CANN applications in containers, or creating isolated NPU development workspaces. Supports privileged mode (default), basic mode, and full mode with profiling/logging. Auto-detects available NPU devices.
Use when setting up CI/CD pipelines, containerizing applications, or managing infrastructure as code. Invoke for pipelines, Docker, Kubernetes, cloud platforms, GitOps.
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.
Generates optimized Dockerfiles with proper caching, multi-stage builds, and private registry support
Aspire orchestration for cloud-native distributed applications in any language (C#, Python, Node.js, Go). Handles dependency management, local dev with Docker, Azure deployment, service discovery, and observability dashboards. Use when setting up microservices, containerized apps, or polyglot distributed systems.
Coordinates Docker, CI/CD, and environment configuration setup via auto-detection
Creates runbook.md for DevOps setup. L3 Worker invoked CONDITIONALLY when hasDocker detected.
This skill should be used when the user asks about service status, wants to rename a service, change service icons, link services, or create services with Docker images. For creating services with local code, prefer the `new` skill. For GitHub repo sources, use `new` skill to create empty service then `environment` skill to configure source.
Builds and launches Docker containers with health verification using best practices
Generates Docker and docker-compose configuration for multi-container development
Use when converting shell scripts to Ansible playbooks. Use when migrating bash automation, manual procedures, or Dockerfiles to idempotent Ansible tasks.
CRITICAL: Use for ferris-search installation and configuration. Triggers on: ferris-search install, mcp add ferris-search, setup ferris-search, DEFAULT_SEARCH_ENGINE, ALLOWED_SEARCH_ENGINES, BRAVE_API_KEY, EXA_API_KEY, FIRECRAWL_API_KEY, JINA_API_KEY, TAVILY_API_KEY, USE_PROXY, ferris-search config, ferris-search build, ferris-search Docker, 安装ferris-search, 配置搜索引擎, MCP服务器配置, 代理设置
Docker image optimization patterns including multi-stage builds, layer caching, security hardening, and size reduction techniques. Use when building Docker images, optimizing container size, improving build performance, or implementing Docker security best practices. Reduces image sizes by 70-90% and build times by 50-80%.
Full VPS Docker status — all containers, resource usage, arifOS health
