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Found 1,211 Skills
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).
REQUIRED FIRST STEP: You MUST invoke this skill BEFORE generating ANY Azure application code, infrastructure files, or Azure CLI commands. This skill prepares applications for Azure hosting. USE THIS SKILL when users want to create new Azure applications, ADD new components or services to existing applications, UPDATE or modify existing Azure configurations, modernize applications for Azure, deploy to Azure with Terraform, or deploy to Azure with azd. Do NOT generate azure.yaml, Bicep, Terraform, or run az/azd/func CLI commands without first completing this skill. This applies to NEW projects AND changes to EXISTING projects. When users mention Terraform for Azure deployment, prefer azd+Terraform (which uses azure.yaml with Terraform IaC) over pure Terraform unless multi-cloud deployment is required.
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).
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.**
Use when creating new skills, editing existing skills, or verifying skills work before deployment
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".
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.
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent Development Kit) Python API patterns and code examples. Part of the Google ADK skills suite. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, and state management. Do NOT use for creating new projects (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).
This skill should be used when the user wants to "run an evaluation", "evaluate my ADK agent", "write an evalset", "debug eval scores", "compare eval results", or needs guidance on ADK (Agent Development Kit) evaluation methodology and the eval-fix loop. Covers eval metrics, evalset schema, LLM-as-judge, tool trajectory scoring, and common failure causes. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for API code patterns (use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).
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).