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Found 80 Skills
Docker containerization for development and production. Covers Dockerfiles, multi-stage builds, layer caching, Compose services, networking, volumes, health checks, security hardening, and production deployment patterns. Use when writing Dockerfiles, optimizing image size, configuring Compose services, debugging container networking, setting up health checks, hardening containers for production, or troubleshooting build cache issues.
Production-grade Docker containerization for Python and Node.js applications. This skill should be used when users ask to containerize applications, create Dockerfiles, dockerize projects, or set up Docker Compose. Auto-detects project structure, analyzes .env for secrets, validates security, and generates tested Dockerfiles.
Configures .NET CI/CD pipelines (GitHub Actions with setup-dotnet, NuGet cache, reusable workflows; Azure DevOps with DotNetCoreCLI, templates, multi-stage), containerization (multi-stage Dockerfiles, Compose, rootless), packaging (NuGet authoring, source generators, MSIX signing), release management (NBGV, SemVer, changelogs, GitHub Releases), and observability (OpenTelemetry, health checks, structured logging, PII). Spans 18 topic areas. Do not use for application-layer API or UI implementation patterns.
MUST USE for anything related to mise, development tool versions, or dev environment setup. Triggers: (1) User mentions mise, mise.toml, .tool-versions, or mise commands like 'mise use', 'mise install', 'mise run'. (2) User wants to install, switch, pin, upgrade, or check versions of dev tools — node, python, go, ruby, java, rust, etc. — at project or global level, even without mentioning mise (e.g. 'set up node 22', 'what python version', 'upgrade go', 'check for outdated tools', 'configure dev environment'). (3) User wants to manage per-project environment variables via config files (e.g. 'add DATABASE_URL env var', 'set up env vars for different environments'). (4) User wants to define or run project tasks via mise (e.g. 'create a build task', 'run tests with mise'). Do NOT trigger for: Dockerfiles, package.json scripts, Makefiles, nvm/pyenv/rbenv commands, pip/npm package installation, git tags, CI/CD config, or deployment.
Create optimized Docker containers with multi-stage builds, security best practices, and minimal image sizes. Use when containerizing applications, creating Dockerfiles, optimizing container images, or setting up Docker Compose services.
Develop Home Assistant add-ons with Docker, Supervisor API, and multi-arch builds. Use when creating add-ons, configuring Dockerfiles, setting up ingress, or publishing to repositories. Activates on keywords: add-on, addon, supervisor, hassio, ingress, bashio, docker.
Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure.
Scaffold the Antithesis harness: initialize the working directory, write Dockerfiles and docker-compose.yaml with build directives, and prepare to submit your first Antithesis test run.
Deploy any GitHub project to Sealos Cloud in one command. Assesses readiness, generates Dockerfile, builds image, creates Sealos template, and deploys — fully automated. Use when user says "deploy to sealos", "deploy this project", "deploy to cloud", "deploy this repo", mentions Sealos deployment, wants to deploy a GitHub URL or local project to a cloud platform, or asks about one-click deployment. Also triggers on "/sealos-deploy".
Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configuring cloud platforms, automating releases, or responding to production incidents. Invoke for pipelines, Docker, Kubernetes, GitOps, Terraform, GitHub Actions, on-call, or platform engineering.
Create a haloy.yaml configuration file for deploying applications with haloy. Use when the user says "create haloy config", "add haloy.yaml", "configure for haloy", "set up haloy deployment", or "prepare for haloy". Supports single-target and multi-target deployments with optional self-hosted databases. Not for creating Dockerfiles (use the dockerize skill), multi-environment deployments, or docker-compose/Kubernetes setups.
Scaffold a production-ready Go HTTP service with OpenTelemetry observability, TLS, lifecycle management, Dockerfile, GitHub Actions CI/CD, and golangci-lint. Use when creating or regenerating a full Go service skeleton (project layout, config package, server package, CI workflows, and container build files).