Claude-m

This skill should be used when the user asks about developing, building, debugging, packaging, or certifying a custom Power BI visual with the pbiviz toolchain (powerbi-visuals-tools). Covers environment setup, the visual project structure, capabilities.json (data roles, dataView mappings, objects, features, privileges), the IVisual API lifecycle (constructor, update, getFormattingModel, destroy), reading the dataView (categorical, table, matrix, single), the modern format pane and formatting model utils, selection and cross-filtering, tooltips, context menus, drill-down, bookmarks, landing pages, rendering events, local storage, launchUrl, D3 rendering, unit testing, ESLint, packaging to a .pbiviz file, and submitting to AppSource / Partner Center for certification. Example user requests: "create a custom Power BI visual", "build a bar chart visual with pbiviz", "add a format pane card to my visual", "make my visual cross-filter other visuals", "why is my visual data view empty", "get my Power BI visual cert

Advanced Microsoft Fabric GitOps and CI/CD patterns for workspace Git integration, branch governance, deployment pipelines, and release validation.

Deep expertise in Power BI development including DAX measures, Power Query M transformations, semantic model design, PBIP project scaffolding, REST API workspace management, and Microsoft Fabric integration with Lakehouse and Direct Lake.

Reusable pattern for creating an Entra app registration, generating a cert, storing the PFX in Azure Key Vault, and wiring cert-based app-only + delegated auth into a Node/TypeScript MCP. Use whenever you need Claude to talk to a Microsoft API (Graph, Power BI, Fabric, Power Platform, Dynamics) without shared secrets or device-code prompts.

Data visualization with @fluentui/react-charting — LineChart, BarChart, PieChart, DonutChart, AreaChart, HeatMapChart, SankeyChart, TreeChart, GaugeChart, theming integration, responsive patterns, and accessibility in charts.

Fluent UI for iOS (Swift/UIKit) and Android (Kotlin) — platform setup, component catalogs, design token parity, CocoaPods/SPM for iOS, Gradle for Android, and Figma design kits for each platform.

Core skill for Microsoft Fluent 2 design system — design tokens, color system, typography, layout, component library overview, theming with FluentProvider, accessibility patterns, and iconography. This is the foundational skill; specialized topics are covered by dedicated skills (fluent-nextjs, fluent-griffel, fluent-extensibility, fluent-web-components, fluent-charting, fluent-cross-platform, fluent-forms, fluent-integration).

Extending and customizing Fluent UI React v9 — slots (4 levels of customization), custom variants, customStyleHooks, headless/unstyled patterns, custom component authoring, and comprehensive v8 to v9 migration guide with component mapping and incremental coexistence strategy.

Form orchestration with Fluent UI React v9 — Field component, validation display, Formik + Yup integration, React Hook Form + Zod integration, multi-step wizard patterns, and accessible form design.

Deep knowledge of Griffel CSS-in-JS for Fluent UI React v9 — makeStyles, makeResetStyles, shorthands, mergeClasses, conditional styles, AOT compilation (webpack + Vite), selector performance, RTL support, icon styling, slot-based styling, CSS variables, and DevTools.

Integrating Fluent UI with Azure AD B2C custom UI, Office Add-ins (Excel, Word, Outlook task panes), SharePoint/M365 web apps, and navigation patterns (Nav, Drawer components).

Next.js integration for Fluent UI React v9 — App Router setup with 'use client' boundaries, Pages Router setup, SSRProvider and RendererProvider configuration, Griffel AOT with webpack, fluentui-nextjs-appdir-plugin, and known SSR bundle size workarounds.

Fluent UI Web Components — framework-agnostic custom elements built on FAST, design token integration, component catalog, DataGrid, and usage with vanilla JS, Angular, Vue, and Svelte.

Deep expertise in Microsoft Fabric Data Engineering — create and manage lakehouses with OneLake, author PySpark and SparkSQL notebooks, build Delta Lake tables with ACID transactions and time travel, design data pipelines with Copy/Notebook/Dataflow activities, implement medallion architecture (bronze/silver/gold), and optimize Spark workloads for performance. Targets professional data engineers building production Fabric analytics solutions.

Deep expertise in custom Microsoft Teams app development — manifest v1.25 schema, M365 Agents Toolkit CLI, Adaptive Cards 1.6, search/action/link-unfurling message extensions, meeting apps (side panel, stage, content bubble), Custom Engine Agents, Agent 365 blueprints, Nested App Authentication (NAA), dialog namespace (replacing task modules), single-tenant bot registration, and Agents Playground for local testing. Targets professional TypeScript developers building production Teams apps on the Microsoft 365 platform.

Deep expertise in unified user investigation across Microsoft 365 via Microsoft Graph — mailbox forensics, sign-in analysis, device correlation, file access audit, Teams activity, OAuth consent audit, risk assessment, and multi-source forensic timeline construction.

Deep expertise in Azure AI Document Intelligence (formerly Form Recognizer) — OCR, prebuilt models (invoices, receipts, IDs, tax forms), custom extraction and classification models, layout analysis, document classification, batch processing, and integration patterns via REST API and SDKs.

Deep expertise in Azure OpenAI Service — deploy and manage GPT-4o, GPT-4, GPT-3.5-Turbo, Embeddings, DALL-E, Whisper, and TTS models. Covers Standard, Provisioned-Managed, and Global Standard deployment types, fine-tuning workflows, content filtering policies, prompt engineering patterns, Batch API, quota management, and secure production architectures. Uses az cognitiveservices CLI and Azure OpenAI REST API for all operations.

Deep expertise in Azure organizational hierarchy and governance — management groups, subscription management, resource group organization, resource tagging strategy, naming conventions (CAF), Azure Landing Zones, Resource Graph queries, RBAC at scale, cost management by organization, and tenant-level compliance and policy governance.

Intelligence-layer orchestrator for Azure DevOps — shipping work items end-to-end with Claude Code, triaging backlogs with WSJF scoring, planning sprints with capacity analysis, orchestrating pipelines and releases, monitoring DORA metrics, balancing workloads, and delegating to Teams/Outlook/PowerBI when those plugins are installed. Trigger on: "azure devops orchestrator", "devops orchestrator", "ship work item", "ship devops", "implement work item", "devops sprint planning", "devops backlog triage", "devops pipeline orchestration", "devops release coordination", "azure devops health", "devops workload balance", "devops retrospective", "DORA metrics", "sprint velocity", "work item triage", "pipeline failure analysis", "release gate validation", "devops portfolio".

Deep expertise in Azure AI workloads — provisioning and managing Azure OpenAI Service deployments, Azure AI Search indexes and skillsets, Azure AI Studio/Foundry projects, Cognitive Services endpoints, content filtering policies, quota management, and responsible AI governance via ARM REST API and service-specific data planes.

Deep expertise in Azure container services — build and push images with Azure Container Registry (ACR), deploy and scale microservices with Azure Container Apps (with Dapr sidecar and KEDA autoscaling), run one-off tasks with Azure Container Instances (ACI), configure CI/CD pipelines with GitHub Actions, and manage networking, secrets, and monitoring across all container workloads.

Deep expertise in Azure Functions serverless compute — build HTTP APIs, event-driven processors, and orchestration workflows with triggers, bindings, Durable Functions, and Azure Functions Core Tools. Covers Consumption/Premium/Flex hosting plans, v4 Node.js/TypeScript programming model, cold start optimization, deployment pipelines, and Application Insights monitoring. Targets professional TypeScript developers building production serverless applications.

Deep expertise in Azure Logic Apps enterprise integration — build automated workflows with Workflow Definition Language (JSON), Standard (single-tenant) and Consumption (multi-tenant) hosting, connectors, integration accounts for B2B/EDI, VS Code local development, and CI/CD pipelines. Covers triggers, actions, expressions, error handling, monitoring, and ISE migration. Targets enterprise integration engineers building production integration solutions.

Deep expertise in Azure Static Web Apps — JAMstack/SPA hosting with built-in authentication, managed Functions API backends, PR preview environments, staticwebapp.config.json routing, custom domains, and SWA CLI for local development.

Deep expertise in Azure API Management operations with deterministic runbooks, fail-fast context validation, and redacted output requirements.

Deep expertise in Azure Backup Recovery operations with deterministic runbooks, fail-fast context validation, and redacted output requirements.

Deep expertise in Azure Cost Management FinOps — cost queries, budget alerts, forecast, idle resource detection, usage details, scope hierarchy, dimension grouping, and savings recommendations via the Azure Cost Management and Consumption REST APIs.

Deep expertise in Azure Kubernetes operations with deterministic runbooks, fail-fast context validation, and redacted output requirements.

Deep expertise in Azure networking — design and deploy Virtual Networks with subnets and peering, configure Network Security Groups and Application Security Groups, deploy Standard Load Balancers and Application Gateways, manage Azure Front Door for global traffic distribution, administer public and private DNS zones, set up VPN and ExpressRoute gateways, create Private Endpoints with DNS integration, and operate Azure Firewall for centralized network security. Targets cloud architects and infrastructure engineers building production Azure network topologies.

Deep expertise in Microsoft Entra ID (Azure AD) tenant administration via Microsoft Graph API v1.0 and beta — user lifecycle (create, update, disable, bulk import, restore), group management (M365/Security/Dynamic), directory role assignments, Privileged Identity Management (PIM eligible and active assignments, role activation, approval workflows), authentication methods admin (MFA, FIDO2, passwordless, SSPR), admin unit scoped delegation, B2B guest invitations and external collaboration settings, license assignment (direct and group-based), named locations, entitlement management (access packages and catalogs), and access reviews.

This skill should be used when the user asks to "find a business name", "suggest domain names", "brainstorm company names", "check domain availability", "name my startup", "find a brand name", "suggest product names", "help me pick a name", or discusses naming a new business, project, app, or product. Provides naming methodology, TLD guidance, and availability-checking workflows.

Deep expertise in Azure Service Bus operations with deterministic runbooks, fail-fast context validation, and redacted output requirements.

Deep expertise in Azure Service Health operations with deterministic runbooks, fail-fast context validation, and redacted output requirements.

Deep expertise in Defender Endpoint operations with deterministic runbooks, fail-fast context validation, and redacted output requirements.

Deep expertise in Entra Access Reviews operations with deterministic runbooks, fail-fast context validation, and redacted output requirements.

Microsoft Fabric AI and operations agents - anomaly detector, data agent, operations agent, ontology, and digital twin builder workflows with preview guardrails.

Deep expertise in Microsoft Fabric Data Activator — create Reflex items with tracked objects and properties, define trigger conditions (threshold, state change, absence, trend), configure actions (email, Teams, Power Automate, webhook), integrate with eventstreams and Power BI visuals, and build event-driven automation on real-time Fabric data. Targets data engineers and analysts building proactive alerting and monitoring solutions.

Deep expertise in Microsoft Fabric Data Factory — build data pipelines with Copy, Dataflow Gen2, Notebook, and orchestration activities, configure 70+ source/sink connectors, write Power Query M transformations, design incremental load and watermark patterns, set up scheduling and triggers, monitor pipeline runs, and migrate from Azure Data Factory. Targets data engineers building production ETL/ELT workloads in Microsoft Fabric.

Microsoft Fabric data preparation jobs - Dataflow Gen1, Apache Airflow jobs, mounted Azure Data Factory pipelines, and dbt job governance for deterministic prep workflows.