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Found 351 Skills
Generate a comprehensive, structured learning guide for any technical topic or technology. Use this skill whenever a user wants to learn a new technology, programming language, framework, tool, or concept — even if they phrase it casually (e.g., "teach me Rust", "how do I get started with Kubernetes", "I want to learn React", "help me understand GraphQL", "give me a roadmap for learning Docker"). This skill covers concept identification and categorization, weekly study schedules, local dev setup, concept explanations with examples, exercises, popular libraries, project ideas, and resources. Trigger for any "how do I learn X", "roadmap for X", "getting started with X", "study plan for X", or "teach me X" request — even if they don't explicitly ask for a guide or roadmap.
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.
Use when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).
Use when user explicitly asks Flink/Ververica/Realtime Compute Console workspace operations: 草稿(draft), SQL校验/执行, 部署(deployment), 作业(job), Session Cluster, namespace, 表(table), 成员(member), 变量(variable), 或 checkpoint timeout 诊断, especially with workspace/deployment/job IDs (w-*, d-*, j-*, sc-*, draft-*). Also use when prompt asks to test/verify Flink Console lifecycle flow, safety guardrails, or parameter validation for these operations. This includes prompts such as create draft, deploy draft, list deployments, start/stop job, create/list session cluster, get tables, list variables. Also use when prompt explicitly asks to run `python scripts/flink_ververica_ops.py` for Flink Console workspace operations. Do not trigger for unrelated "workspace" contexts or generic cloud/platform tasks (ECS, OSS, RDS, Kafka, Spark, Kubernetes, billing, weather). Do not trigger for Flink instance lifecycle operations (create/scale/delete/renew); those belong to alibabacloud-flink-instance-manage.
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.
Interactive AI-driven game for learning Docker, Linux, networking, and Kubernetes through story-driven challenges in your AI editor.
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).
Deploys and operates containerized workloads on ECS, Fargate, and ECR. Covers task definitions, Fargate services, ECR repository setup and lifecycle policies, ECS Exec debugging, service scaling, deployment strategies, load balancer integration, and logging configuration. Use when deploying, debugging, or optimizing containers on AWS. ALSO USE for container deployment options (ECS vs ECS Express Mode), networking modes, health check troubleshooting, OOM errors, secrets injection, blue/green deployments, ECR image management, and App Runner sunset guidance and migration. NOT for Kubernetes, EKS, or CI/CD pipelines.
Use this skill whenever the user needs to manage VMs in VMware/vSphere/ESXi — it's the entry point for all VM operations. Directly handles: power on/off, clone, snapshot, migrate, deploy from OVA or templates, run commands inside VMs, batch operations, cluster management, and vCenter alarm acknowledgment. Always use this skill for any "power on", "clone", "deploy", "migrate", "batch", "guest exec", "alarm", or VM lifecycle task when the context is explicitly VMware, vSphere, or ESXi. Do NOT use for read-only queries (use vmware-monitor), NSX networking (use vmware-nsx), storage/iSCSI/vSAN (use vmware-storage), or Kubernetes cluster lifecycle (use vmware-vks). For multi-step workflows use vmware-pilot. For load balancing/AVI/AKO use vmware-avi.
Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.
OpenShift enterprise Kubernetes platform. Use for enterprise K8s.
Ultimate 25+ years expert-level backend skill covering FastAPI, Express, Node.js, Next.js with TypeScript. Includes ALL databases (PostgreSQL, MongoDB, Redis, Elasticsearch), ALL features (REST, GraphQL, WebSockets, gRPC, Message Queues), comprehensive security hardening (XSS, CSRF, SQL injection, authentication, authorization, rate limiting), complete performance optimization (caching, database tuning, load balancing), ALL deployment strategies (Docker, Kubernetes, CI/CD), advanced patterns (microservices, event-driven, saga, CQRS), ALL use cases (e-commerce, SaaS, real-time, high-traffic), complete testing (unit, integration, E2E, load, security). Route protection, middleware, authentication implementation in PERFECTION. Use for ANY backend system requiring enterprise-grade security, performance, scalability, and architectural excellence.