Explore skills

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

Default entry point for Azure application development. Invoke this skill for ANY application work related to Azure: creating apps, building features, adding components, updating code, migrating, or modernizing. Analyzes your project and prepares it for Azure deployment by generating infrastructure code (Bicep/Terraform), azure.yaml configuration, and Dockerfiles. USE FOR: create an app, build a we

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 sele

Assess and migrate cross-cloud workloads to Azure. Generates assessment reports and converts code from AWS, GCP, or other providers to Azure services. WHEN: \"migrate Lambda to Azure Functions\", \"migrate AWS to Azure\", \"Lambda migration assessment\", \"convert AWS serverless to Azure\", \"migration readiness report\", \"migrate from AWS\", \"migrate from GCP\", \"cross-cloud migration\".

Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topo

Execute deployment to Azure. Final step after preparation and validation. Runs azd up, azd deploy, or infrastructure provisioning commands. USE FOR: run azd up, run azd deploy, execute deployment, provision infrastructure, push to production, go live, ship it, deploy web app, deploy container app, deploy static site, deploy Azure Functions, bicep deploy, terraform apply. DO NOT USE FOR: creating o

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

Use this skill to work with Microsoft Foundry (Azure AI Foundry) and tools from Foundry MCP server: deploy AI models, manage AI agents (create, deploy, invoke, run, troubleshoot Foundry Agents), manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Microsoft Foundry, AI Foundry, create agent, deploy agent, debug agent, invoke agent, run agent,

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\".

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 av

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, wh