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Found 1,936 Skills
Deploy and configure OpenClaw AI assistant with multi-model support and messaging channel integrations
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.
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".
Feishu Miaoda Apps (lark-cli apps): Deploy local HTML files or directories as accessible, shareable Miaoda apps (static websites / web pages) and return access URLs; it also provides management capabilities such as app creation, update, listing, and setting access scopes (specific for designated visibility / public for open internet access / tenant for all enterprise members). Use this when users say phrases like 'Develop PPT / slides / presentations / demoable demos with HTML / web pages', 'Deploy / publish HTML / static websites / web pages / dist directories', 'Deploy HTML files in /xxx to Miaoda using lark-cli', 'Develop xxx and deploy it as a shareable website / accessible link / shareable URL', 'Generate a PPT / page / demo that can be shared with others', or mention keywords such as Miaoda / miaoda / apps / app_id / access scope / open-to-tenant / open-to-public. **Deployment Strategy: When users explicitly mention 'Deploy / publish / share / accessible / shareable URL', directly use `apps +html-publish` for automatic deployment and return the URL; when users only express vague intentions like 'Demoable / write a PPT / create a demo', after completing the HTML, first ask 'Do you want to deploy it to Miaoda for sharing?' before making a decision.**
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).
**CRITICAL**: Run azure-validate before deploying Azure resources. Validates Azure deployment readiness. USE FOR: assess if application is ready to deploy to Azure, validate azure.yaml or Bicep configuration files, run Azure preflight checks, review deployment previews and what-if analysis, verify Azure infrastructure configuration, troubleshoot Azure deployment errors. DO NOT USE FOR: creating new applications (use azure-prepare), executing deployments (use azure-deploy).
Use this skill to work with Microsoft Foundry (Azure AI Foundry): deploy AI models from catalog, build RAG applications with knowledge indexes, create and evaluate AI agents, manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Microsoft Foundry, AI Foundry, deploy model, model catalog, RAG, knowledge index, create agent, evaluate agent, agent monitoring, create Foundry project, new Foundry project, set up Foundry, onboard to Foundry, provision Foundry infrastructure, create Foundry resource, create AI Services, multi-service resource, AIServices kind, register resource provider, enable Cognitive Services, setup AI Services account, create resource group for Foundry, RBAC, role assignment, managed identity, service principal, permissions, quota, capacity, TPM, deployment failure, QuotaExceeded. DO NOT USE FOR: Azure Functions (use azure-functions), App Service (use azure-create-app), generic Azure resource creation (use azure-create-app).
Prisma Compute deployment and hosting guide. Use whenever the user mentions Prisma Compute, deploying or hosting a Prisma app, `@prisma/cli app deploy`, `compute:deploy`, `create-prisma --deploy`, `PRISMA_SERVICE_TOKEN`, Compute apps/deployments/logs/domains, localhost vs `0.0.0.0`, deploy port binding, or framework deploy readiness for Hono, Elysia, Next.js, TanStack Start, Astro, Nuxt, Svelte, Nest, or Turborepo.
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets. Covers deployment workflows, service accounts, rollback, and production infrastructure. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for API code patterns (use google-agents-cli-adk-code), evaluation (use google-agents-cli-eval), or project scaffolding (use google-agents-cli-scaffold).
This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the Google ADK (Agent Development Kit) skills suite. Covers `agents-cli scaffold create`, `scaffold enhance`, and `scaffold upgrade` commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (use google-agents-cli-adk-code) or deployment operations (use google-agents-cli-deploy).
Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.