Expert knowledge for Azure Managed Grafana development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when integrating AI/Prometheus/ADX data, configuring workspaces, securing access, deploying HA, or fixing connectivity, and other Azure Managed Grafana related development tasks. Not for Azure Monitor (use azure-monitor), Azure App Service (use azure-app-service), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-managed-grafana
This skill provides expert guidance for Azure Managed Grafana. Covers troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
> IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., security.md), use read_file on the linked reference file
> IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Lines | Description |
|----------|-------|-------------|
| Troubleshooting | L35-L40 | Diagnosing and resolving common Azure Managed Grafana issues, including access, configuration, and private endpoint connectivity and DNS problems. |
| Decision Making | L41-L48 | Planning and executing Grafana decisions: choosing/activating Enterprise plans, migrating from self‑hosted or Azure Grafana Essential, and upgrading Azure Managed Grafana (incl. v12). |
| Limits & Quotas | L49-L55 | Details on Managed Grafana regional availability, quotas and constraints, plus how to use features like reporting and image rendering within those limits. |
| Security | L56-L70 | Securing Managed Grafana: encryption, auth (Entra, tokens, service accounts), RBAC/roles, private endpoints, outbound IP control, team sync, and security best practices. |
| Configuration | L71-L79 | Configuring Azure Managed Grafana workspaces: instance settings, Prometheus, data sources with managed identity, plugins, metrics/diagnostics, and SMTP email alert setup. |
| Integrations & Coding Patterns | L80-L90 | Integrating Grafana with Azure AI agents and monitoring tools: MCP setup, AI Foundry dashboards, alerts, Prometheus/AKS, and Azure Data Explorer data sources. |
| Deployment | L91-L94 | Designing highly available Azure Managed Grafana workspaces, including reliability features, SLAs, and enabling zone-redundant deployments for resiliency. |
| Topic | URL |
|-------|-----|
| Troubleshoot common Azure Managed Grafana issues | https://learn.microsoft.com/en-us/azure/managed-grafana/troubleshoot-managed-grafana |
| Fix Managed Grafana private endpoint connection problems | https://learn.microsoft.com/en-us/azure/managed-grafana/troubleshoot-mpe-connection |
| Topic | URL |
|-------|-----|
| Activate and manage Grafana Enterprise plans in Azure | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-grafana-enterprise |
| Migrate self-hosted or cloud Grafana to Azure Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-migrate |
| Plan migration from Azure Grafana Essential to Standard or Azure Monitor | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-migrate-essential-service-tier |
| Plan and perform Azure Managed Grafana 12 upgrade | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-upgrade-grafana-12 |
| Topic | URL |
|-------|-----|
| Azure Managed Grafana limits, regions, and support details | https://learn.microsoft.com/en-us/azure/managed-grafana/faq |
| Use reporting and image rendering in Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-use-reporting-and-image-rendering |
| Azure Managed Grafana service limits and constraints | https://learn.microsoft.com/en-us/azure/managed-grafana/known-limitations |
| Topic | URL |
|-------|-----|
| Understand data encryption in Azure Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/encryption |
| Authenticate to Azure Managed Grafana data plane APIs | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-authenticate-data-plane-api |
| Configure authentication and permissions for Azure Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-authentication-permissions |
| Connect Managed Grafana to data sources via private endpoints | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-connect-to-data-source-privately |
| Set up deterministic outbound IPs for Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-deterministic-ip |
| Manage Azure Managed Grafana roles and access | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-manage-access-permissions-users-identities |
| Grant Azure Monitor access to Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-permissions |
| Use service accounts and tokens in Azure Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-service-accounts |
| Configure private access and endpoints for Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-set-up-private-access |
| Configure Grafana Team Sync with Entra groups | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-sync-teams-with-entra-groups |
| Apply security best practices to Azure Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/secure-azure-managed-grafana |
| Topic | URL |
|-------|-----|
| Configure Azure Managed Grafana instance settings | https://learn.microsoft.com/en-us/azure/managed-grafana/grafana-settings |
| Manage Grafana plugins in Azure Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-manage-plugins |
| Monitor Managed Grafana metrics with Azure Monitor charts | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-monitor-managed-grafana-metrics |
| Configure diagnostic settings for Managed Grafana workspaces | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-monitor-managed-grafana-workspace |
| Configure SMTP email alerts in Azure Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-smtp-settings |
| Topic | URL |
|-------|-----|
| Monitor Agent Framework workflows in Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/agent-framework-workflow-dashboard |
| Build Azure AI Foundry monitoring dashboards in Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/azure-ai-foundry-dashboard |
| Integrate AI coding agents with Grafana monitoring | https://learn.microsoft.com/en-us/azure/managed-grafana/grafana-opentelemetry-app-insights |
| Configure Grafana MCP with Azure AI Foundry agents | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-configure-mcp-for-ai-foundry |
| Add Azure Data Explorer as a Grafana data source | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-connect-azure-data-explorer |
| Integrate Azure Monitor alerts with Azure Managed Grafana | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-use-azure-monitor-alerts |
| Connect AKS Prometheus to Managed Grafana privately | https://learn.microsoft.com/en-us/azure/managed-grafana/tutorial-mpe-oss-prometheus |
| Topic | URL |
|-------|-----|
| Enable zone-redundant Azure Managed Grafana workspaces | https://learn.microsoft.com/en-us/azure/managed-grafana/how-to-enable-zone-redundancy |
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take microsoftdocs/azure-managed-grafana from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.