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3058 skills

azuresql-db-from-sql-server

Migrates a local SQL Server setup to the Azure SQL Database container for Azure-faithful local development. Use when a project already uses mcr.microsoft.com/mssql/server, mssql/server, an sqlcmd plus SA password docker setup, a "SQL Server in docker" or "local mssql container", or a docker-compose with the mssql/server image; and use when the user asks for "SQL Server locally", "run mssql in Docker", "spin up a local SQL database", or "test against SQL Server" but actually wants the Azure SQL Database engine (EngineEdition 5). Detects the SQL Server image, rewrites it to the Azure SQL Databas

Databases

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azuresql-db-feedback

Reports a bug or files feedback about the azuresql-db-* agent skills themselves, or about the Azure SQL Database container (the local Azure SQL Database engine, Private Preview). Use when the user says a skill or the container "did not work", hit an error, behaved unexpectedly, or is missing something; and when they say "report a bug", "file an issue", "open a GitHub issue", "request a feature", "give feedback", or "tell the team". Also use when you, the agent, had to deviate from an azuresql-db-* skill or work around a defect in one to finish a task: that is a bug in the skill and it is worth

Cloud Platforms

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azuresql-db-faq

Answers questions about what the Azure SQL Database container (Private Preview) can and cannot do, and WHY it differs from Azure SQL Database in the Microsoft Azure cloud. Use when a user asks "can I take a backup", "why does USE fail", "is X supported", "why can't I create a vector index", "why does SSMS error", "why isn't the image on Docker Hub", "what's different from the cloud", or hits behavior that does not match their Azure SQL Database expectations. Do NOT guess from general SQL Server / Azure knowledge: the container is a Private Preview product with specific gaps and a specific conn

Cloud Platforms

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azuresql-db-dab

Stands up an instant no-code REST + GraphQL API over the local Azure SQL Database container using Microsoft Data API Builder (DAB). Use when a user wants to "expose my table as an API", "add a REST API over the database", "generate a GraphQL API", "put an API in front of SQL", "CRUD API without writing code", or "dab init / dab-config.json". Also the way to serve a built-in MCP endpoint FROM the database via DAB (an API surface DAB provides, not a separate SQL MCP server). Prefer this over hand-writing a controller/ORM API when the user just needs REST or GraphQL over existing tables. Triggers

Cloud Platforms

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azuresql-db-container

Runs the Azure SQL Database container (the Azure SQL Database engine) locally (Private Preview): the real PaaS engine where SERVERPROPERTY('EngineEdition') returns 5 and Edition is 'SQL Azure'. This is NOT the SQL Server image mcr.microsoft.com/mssql/server. Use when a user wants to "run Azure SQL locally", "add a local SQL database", "add SQL Server to my docker compose", "spin up a local mssql container", "local SQL for development or CI", "connect with sqlcmd", "use Podman for SQL", "SQL container won't start", "Microsoft Entra authentication on the container", "MSSQL_AAD_CLIENT_ID", or ask

Cloud Platforms

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azuresql-db-connections

Makes an app's database connections reliable against the local Azure SQL Database container (Private Preview) and, unchanged, against Azure SQL Database in the cloud: connection pooling plus retry/transient-fault handling. Use when the user mentions "connection pooling", "retry logic", "transient fault", "retry on transient error", "EnableRetryOnFailure", "connection resiliency", "reliable connections", "pool size", "Max Pool Size", or says "the connection keeps dropping", "connections time out under load", "add backoff", or "make the DB layer resilient". This is the Azure SQL engine (EngineEd

Cloud Platforms

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azuresql-db-ci

Runs integration tests against the Azure SQL Database container (Private Preview, local engine) in CI. Use when setting up GitHub Actions, Azure Pipelines, or GitLab CI to test against Azure SQL DB; when adding a database service container to a CI workflow; when tests need a real Azure SQL engine in the pipeline; or when you see "service container", "health-cmd", "ACR_USERNAME/ACR_PASSWORD", "MSSQL_SA_PASSWORD secret", or "integration test database". Also use when a workflow was about to pull the SQL Server image mcr.microsoft.com/mssql/server, in which case stop and use the Azure SQL Database

Cloud Platforms

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azuresql-db-auth

Connects an app to the Azure SQL Database container securely, with a least-privilege database user instead of the sa login, the right auth method per environment, and safe handling of the connection secret. Use when a user asks "don't use sa in my app", "create a least-privilege database user", "app login for SQL", "which authentication should my app use", "secure the connection string", "Encrypt / TrustServerCertificate", "store the connection string in Key Vault", "dotnet user-secrets", "managed identity for Azure SQL", or "grant only the roles my app needs". SQL auth locally, Microsoft Entr

Cloud Platforms

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python-appservice-deploy

Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.

Delivery

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microsoft-foundry

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, create agent, update agent, add tool to agent, invoke agent, agent.yaml, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, prompt optimizer, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project,

Cloud Platforms

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deploy-model

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

Delivery

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preset

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).

Cloud Platforms

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customize

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).

Cloud Platforms

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capacity

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.

Cloud Platforms

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finetuning

Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).

Model Adaptation

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entra-app-registration

Guides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authentication. DO NOT USE FOR: Key Vault secrets (use azure-keyvault-expiration-audit), general Azure resource security guidance.

Access Control

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entra-agent-id

Provision Microsoft Entra Agent Identity Blueprints, BlueprintPrincipals, and per-instance Agent Identities via Microsoft Graph, and configure OAuth 2.0 token exchange (fmi_path, OBO, cross-tenant) including the Microsoft Entra SDK for AgentID sidecar. USE FOR: Agent Identity Blueprint, BlueprintPrincipal, agent OAuth, fmi_path token exchange, agent OBO, Workload Identity Federation for agents, polyglot agent auth, Microsoft.Identity.Web.AgentIdentities. DO NOT USE FOR: standard Entra app registration (use entra-app-registration), Microsoft Foundry agent authoring (use microsoft-foundry).

Access Control

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azure-validate

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, v

Cloud Platforms

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azure-upgrade

Assess and upgrade Azure workloads between plans, tiers, or SKUs, or modernize Azure SDK dependencies in source code. WHEN: upgrade Consumption to Flex Consumption, upgrade Azure Functions plan, change hosting plan, function app SKU, migrate App Service to Container Apps, modernize legacy Azure Java SDKs (com.microsoft.azure to com.azure), migrate Azure Cache for Redis (ACR/ACRE) to Azure Managed Redis (AMR).

Cloud Platforms

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azure-storage

Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics. Includes lifecycle management. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, storage tiers, hot cool cold archive, storage tier comparison, when to use storage tiers, lifecycle manageme

Cloud Platforms

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azure-resource-visualizer

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. WHEN: create architecture diagram, visualize Azure resources, show resource relationships, generate Mermaid diagram, analyze resource group, diagram my resources, architecture visualization, resource topology, map Azure infrastructure.

Cloud Platforms

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azure-resource-lookup

List, find, and show Azure resources across subscriptions or resource groups. Handles prompts like "list the websites in my subscription", "list my web apps", "show my app services", "list virtual machines", "list my VMs", "show storage accounts", "find container apps", and "what resources do I have". USE FOR: list websites, list web apps, list app services, show websites in subscription, resource inventory, find resources by tag, tag analysis, orphaned resource discovery (not for cost analysis), unattached disks, count resources by type, cross-subscription lookup, and Azure Resource Graph que

Cloud Platforms

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azure-reliability

Assess and improve the reliability posture of PaaS Applications (Azure Functions and Azure App Service). Scans deployed resources for zone redundancy, ZRS storage, health probes, and multi-region failover. Presents a feature-pivoted checklist, then drives staged remediation (CLI or IaC patches) end-to-end with user confirmation. WHEN: "assess reliability", "check reliability", "zone redundant", "multi-region failover", "high availability", "disaster recovery", "single points of failure", "reliability posture", "resiliency".

Cloud Platforms

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azure-quotas

Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".

Cloud Platforms

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