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Found 337 Skills
Author ZenML pipelines: @step/@pipeline decorators, type hints, multi-output steps, dynamic vs static pipelines, artifact data flow, ExternalArtifact, YAML configuration, DockerSettings for remote execution, custom materializers, metadata logging, secrets management, and custom visualizations. Use this skill whenever asked to write a ZenML pipeline, create ZenML steps, make a pipeline work on Kubernetes/Vertex/SageMaker, add Docker settings, write a materializer, create a custom visualization, handle "works locally but fails on cloud" issues, or configure pipeline YAML files. Even if the user doesn't explicitly mention "pipeline authoring", use this skill when they ask to build an ML workflow, data pipeline, or training pipeline with ZenML.
GitHub Actions CI/CD. Covers workflows, jobs, and deployment. Use for automating builds, tests, and deployments. USE WHEN: user mentions "github actions", "workflow", "ci/cd", ".github/workflows", "actions/checkout", "github workflow", asks about "automate tests", "deploy on push", "build pipeline", "ci pipeline", "continuous integration", "github automation" DO NOT USE FOR: GitLab CI/CD - different syntax and features, Jenkins pipelines - different tool, Container orchestration - use `docker` or `kubernetes` skills, Local builds - workflows run on GitHub runners
Linux (Ubuntu/Debian) server initial setup and ongoing administration skill. Covers new server hardening, user management, package management, file permissions, resource limits, log rotation, cron scheduling, and disk management. USE WHEN: - Performing initial setup of a fresh Ubuntu/Debian server (VPS, bare metal, cloud VM) - Hardening SSH, disabling root login, configuring sudo - Configuring system-level resource limits (ulimits, sysctl) for high-concurrency workloads - Managing users, groups, file permissions, and ACLs - Setting up log rotation, journald retention, swap, and NTP - Troubleshooting disk full, FD exhaustion, locale errors, or time drift DO NOT USE FOR: - Container-level administration (use docker or kubernetes skill) - Application deployment pipelines (use deployment-strategies or ci-cd skill) - Firewall/fail2ban configuration (use firewall skill) - Nginx or service configuration (use nginx or systemd skill)
Install and bootstrap a Coder (coder/coder) deployment end-to-end from the CLI without the web UI. Covers quick-start (one machine, auto-tunnel URL) and production (real domain, TLS, wildcard, OIDC, external provisioner). Drives GitHub device-code on fresh deployments to sign the first admin in without a browser, falls back to email/password for scripted runs, pushes a starter template, and optionally creates a first workspace. Activate when the user says: "install Coder", "set up Coder", "deploy Coder", "bootstrap Coder", "run Coder in Docker / on Kubernetes / on a VM", "Coder on AWS / GCP / Azure", "put Coder behind HTTPS / Caddy / nginx / cert-manager", "wildcard domain", "headless / non-interactive setup", "create the first admin from the CLI", "push a starter template", or "create my first workspace". Also activate for /coder:setup. Do NOT activate for upgrading an existing deployment, editing an existing template, debugging a running server, or configuring OIDC / custom OAuth on a running deployment.
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
Guide for implementing MongoDB - a document database platform with CRUD operations, aggregation pipelines, indexing, replication, sharding, search capabilities, and comprehensive security. Use when working with MongoDB databases, designing schemas, writing queries, optimizing performance, configuring deployments (Atlas/self-managed/Kubernetes), implementing security, or integrating with applications through 15+ official drivers. (project)
Traefik v3 cloud-native reverse proxy. Covers providers, entrypoints, routers, middlewares, services, Docker labels, TLS/ACME, dashboard, and metrics. USE WHEN: user mentions "traefik", "traefik v3", "traefik docker", "traefik labels", "traefik middleware", "traefik dashboard", "traefik tls", "traefik acme", "traefik router", "traefik entrypoint", "traefik reverse proxy", "traefik cloudflare", "traefik let's encrypt", "traefik rate limit" DO NOT USE FOR: Caddy-based setups - use `caddy` skill, Nginx load balancing - use `load-balancer` skill, Kubernetes ingress with nginx-ingress - use `kubernetes` skill, Application-level TLS inside app code
Production server monitoring stack covering Prometheus, Node Exporter, Grafana, Alertmanager, Loki, and Promtail on bare-metal or VM Linux hosts. USE WHEN: - Setting up monitoring for a new production server or VPS - Configuring Prometheus scrape targets for application or system metrics - Creating Grafana dashboards and datasource provisioning - Writing Alertmanager routing rules with email/Slack notifications - Implementing the PLG stack (Promtail + Loki + Grafana) for log aggregation - Performing live system diagnostics with htop, iotop, nethogs, ss, vmstat, iostat - Setting up uptime monitoring with UptimeRobot or healthchecks.io DO NOT USE FOR: - Kubernetes-native observability (use the kubernetes skill instead) - Application-level APM (distributed tracing with Jaeger/Tempo — use observability skill) - Cloud-managed monitoring (CloudWatch, GCP Monitoring, Azure Monitor) - Windows Server monitoring
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.