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Found 1,816 Skills
Deploy telecine services to GCP Cloud Run via Pulumi, publish elements packages to npm, publish skills docs, rollback, scale resources, manage secrets, and debug failed deployments.
Serve a quantized or unquantized LLM checkpoint as an OpenAI-compatible API endpoint using vLLM, SGLang, or TRT-LLM. Use when user says "deploy model", "serve model", "start vLLM server", "launch SGLang", "TRT-LLM deploy", "AutoDeploy", "benchmark throughput", "serve checkpoint", or needs an inference endpoint from a HuggingFace or ModelOpt-quantized checkpoint. Do NOT use for quantizing models (use ptq) or evaluating accuracy (use evaluation).
Deploy and configure OpenClaw AI assistant with multi-model support and messaging channel integrations
Kubernetes Deployment 管理
Safe deployment practices across local/dev/prod environments. Apply when setting up deployment pipelines or adding deployment scripts.
Deploy to 9 cloud providers — AWS, Vercel, Netlify, Railway, Fly.io, Heroku, DigitalOcean, Linode, Cloudflare. Provider selection, deployment patterns, cost comparison.
Expert guide for setting up Tauri deployment pipelines with GitHub Actions, code signing, and Oasis update server integration.
Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.
Complete guide to deploying OpenClaw on Alibaba Cloud servers, covering Alibaba Cloud Bailian model configuration, full-platform access for Feishu/DingTalk/QQ/Discord, Qoder CLI integration, as well as advanced configuration and O&M.
Use when self-hosting OpenClaw on a Linux VPS or cloud server, hardening a remote OpenClaw gateway, choosing between SSH tunneling, Tailscale, or reverse-proxy exposure, or reviewing Podman, pairing, sandboxing, token auth, and tool-permission defaults for a secure personal deployment.
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".
Execute Azure deployments after preparation and validation are complete. USE FOR: azd up, azd deploy, push to Azure, publish to Azure, ship to production, launch on Azure, go live, release to Azure, deploy web app, deploy container app, deploy static site, deploy Azure Functions, azd provision, infrastructure deployment, bicep deploy, terraform apply, deploy with terraform. Supports azd with Bicep, azd with Terraform, pure Bicep, pure Terraform, and Azure CLI deployments. DO NOT USE FOR: preparing new apps (use azure-prepare), validating before deploy (use azure-validate).