Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
AUTHORITATIVE GUIDANCE — Follow these instructions exactly unless they contradict security policies given to you.
⛔ STOP — PREREQUISITE CHECK REQUIRED
Before proceeding, verify this prerequisite is met:
azure-prepare was invoked and completed →
.azure/deployment-plan.mdexists with statusApprovedor laterIf the plan is missing, STOP IMMEDIATELY and invoke azure-prepare first.
The complete workflow ensures success:
azure-prepare→azure-validate→azure-deploy
ask_user — global-rulesRun the workflow script and follow its instructions. It walks you through each validation step one at a time, recording progress in .azure/validate-status.json. Use references/scripts/workflow.ps1 on Windows or references/scripts/workflow.sh on macOS/Linux.
Start by calling the script without the completed-step argument:
pwsh references/scripts/workflow.ps1 -WorkspacePath <workspace-path>
# macOS/Linux: bash references/scripts/workflow.sh --workspace-path <workspace-path>
Each run prints the next action and the value to pass next. Perform the action, then re-run with that value (-CompletedStep <value> for pwsh, --completed-step <value> for bash). Repeat until it reports the azure-validate workflow is complete.
The steps reference recipe details in references/recipes/README.md and role checks in references/role-verification.md.
⛔ VALIDATION AUTHORITY
This skill is the officially verified way to set plan status to
Validated. You MUST follow the script's instructions to completion before setting status toValidated. Do NOT set status toValidatedwithout doing so.
⚠️ NEXT STEP — DEPENDS ON USER INTENT
After ALL validations pass, check whether the user asked to deploy:
- If the user explicitly requested deployment, you MUST invoke azure-deploy to execute it. Do NOT run
azd up,azd deploy, or any deployment commands directly — let azure-deploy handle execution.- If the user only asked to validate or prepare (not deploy), STOP after recording proof and setting status to
Validated. Report the validation results and do NOT invoke azure-deploy.If any validation failed, fix the issues and re-run azure-validate before proceeding.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
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".
中文简介正在准备中。当前显示原文说明。
Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).
中文简介正在准备中。当前显示原文说明。
Lookup documented AKS fixes only when the prompt includes an exact catalog signature and all of its qualifiers: VMCannotFitEphemeralOSDisk; NodePoolMcVersionIncompatible; 'NodeImageVersion is not accepted'; AKS SkuNotAvailable with size, location, and zone; ZonalAllocationFailed with insufficient zone capacity; OverconstrainedAllocationRequest with listed constraints; nested AKS vmssCSE/CSE VMExtensionError_OutboundConnFail, VMExtensionError_K8SAPIServerConnFail, or VMExtensionError_K8SAPIServerDNSLookupFail; or AllocationFailed with the full cataloged internal-error or insufficient-regional-capacity message. Never use for quota errors, code-only or bare wrappers, generic symptoms, incomplete signatures, or failures outside AKS; use aks-troubleshooting or azure-diagnostics.
中文简介正在准备中。当前显示原文说明。
Collects bounded packet captures from AKS nodes and Azure network configuration for wire-level evidence. WHEN: "capture packets on an AKS node", "take a pcap", "run tcpdump on AKS", "prove where packets drop". Use for explicit packet-capture intent after read-only diagnostics, not general AKS connectivity or ingress troubleshooting.
中文简介正在准备中。当前显示原文说明。
Debug live Azure Kubernetes Service (AKS) incidents with a read-only, evidence-first investigation. WHEN: pod crashes or Pending, CrashLoopBackOff, OOMKilled, ImagePullBackOff, node NotReady, DNS or ingress failure, connectivity timeout, network policy, SNAT exhaustion, node-pool scaling blocked by QuotaExceeded or InsufficientVCPUQuota, upgrade stuck, spot or zone disruption, a bare VMExtensionProvisioningError or AllocationFailed wrapper, an uncataloged capacity symptom, or 'investigate my AKS cluster'. DO NOT USE FOR: packet capture (use aks-network-capture); GPU or model-serving issues (use aks-gpu-inference); cluster creation or provisioning (use azure-kubernetes); cost (use cost-analysis from the optional azure-cost plugin); pod rightsizing (use azure-kubernetes); a fully qualified documented AKS signature with every required nested qualifier (use aks-known-issues); standalone failures on non-AKS Azure resources (use azure-diagnostics). Unqualified errors and open-ended incidents stay here only for AKS.
中文简介正在准备中。当前显示原文说明。
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
中文简介正在准备中。当前显示原文说明。