Official skills

Discover and install agent skills from the open ecosystem via the npx skills CLI — when you wish you had a skill for some task.

End-to-end Azure AI Foundry agent lifecycle with azd—scaffold, deploy, invoke, evaluate, optimize, fine-tune, and troubleshoot agents—routing to specialized sub-skills per task.

Assesses reliability of Azure Functions and App Service apps for zone redundancy, ZRS storage, health probes, and multi-region failover, then drives staged CLI or IaC remediation.

Turns a workload description into an enterprise Azure topology (landing zone, hub-spoke, DR) and generates validated Bicep or Terraform aligned to the Well-Architected Framework.

Creates museum-quality original poster and visual-art PDFs/PNGs by drafting a design philosophy first, then expressing it as a minimal, design-forward single-page canvas.

Implements native-feeling animations with React's View Transition API—shared elements, Suspense reveals, list reorder, directional navigation—without third-party animation libraries.

Fine-tunes models on Azure AI Foundry with SFT, DPO, or RFT, covering dataset prep and validation, grader calibration, training, checkpoint selection, deployment, and evaluation.

Unified Azure OpenAI deployment router that detects intent and dispatches to quick preset, full customize, or capacity-discovery modes, with shared project and quota validation.

Checks and manages Azure service limits and capacity via az quota, mapping ARM types to quota names, comparing regions, and submitting increase requests.

React composition patterns that scale—compound components, lifted state, context interfaces, explicit variants over boolean props—plus React 19 API changes.

Deploys and manages Vercel projects using token-based auth read from the environment, covering deploy, env vars, domains, and inspection without interactive login.

Deploys Python Flask, Django, or FastAPI code to Azure App Service Linux with smart defaults, creating the resource group, plan, and web app as needed.

Provisions Microsoft Entra Agent Identity Blueprints, BlueprintPrincipals, and per-instance agent identities via Graph, wiring OAuth fmi_path token exchange and per-agent permissions.

Interactive guided Azure OpenAI deployment giving full control over version, SKU, capacity, RAI policy, and advanced options, with cross-region fallback and live quota checks.

Discovers available Azure OpenAI model capacity across all accessible regions and projects, then validates subscription quota and ranks deployment locations.

Runs pre-deployment Azure readiness checks—IaC build, RBAC, managed identity, what-if—against the deployment plan, recording proof before allowing the validated status.

Assesses and automates Azure workload upgrades between plans, tiers, and SKUs, plus Java SDK modernization and Redis-to-AMR migrations, with idempotent staged steps.

Lists and finds Azure resources across subscriptions and resource groups using Azure Resource Graph KQL, including orphaned resources and tag audits.

Diagnoses Azure Event Hubs and Service Bus SDK problems—AMQP link errors, lock loss, idle timeouts, checkpoint resets—mapped to language-specific fixes.

Writes and runs KQL against Azure Data Explorer (Kusto/ADX) for log, telemetry, and time-series analysis, with schema discovery and az CLI fallback.

Quickly deploys an Azure OpenAI model to the optimal region by checking capacity across regions and using GlobalStandard SKU with sensible auto-calculated defaults.

Analyzes an Azure resource group and produces a detailed Mermaid architecture diagram plus a markdown report mapping resource relationships, networking, and identity.

Executes deployments for already-prepared apps (azd up/deploy, terraform apply, az deployment) with prerequisite checks, RBAC health verification, and built-in error recovery.

Applies one of ten preset color-and-font themes (or a generated custom one) to slides, docs, reports, or HTML, after showing a visual showcase for selection.