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Distinctive, production-grade frontend interfaces that reject generic AI aesthetics. Guides design thinking before coding: establish bold aesthetic direction (brutalist, maximalist, retro-futuristic, luxury, playful, etc.) with clear purpose, tone, and differentiation Emphasizes typography, color theming, motion, spatial composition, and textural details as core design pillars; uses CSS variables, animations, and scroll-triggered effects Generates working, functional code (HTML/CSS/JS, React, Vue) that matches implementation complexity to aesthetic vision: elaborate code for maximalist designs, restrained precision for minimalist ones Explicitly avoids generic patterns: overused fonts (Inter, Roboto), clichéd color schemes (purple gradients), predictable layouts, and cookie-cutter component design

React and Next.js performance optimization guide with 64 prioritized rules across 8 categories. Organized by impact level, from critical waterfalls and bundle optimization down to advanced patterns, each rule includes incorrect/correct code examples and explanations Covers eight domains: async patterns, bundle size, server-side caching, client-side data fetching, re-render optimization, rendering performance, JavaScript efficiency, and advanced patterns Designed for use during component writing, code review, refactoring, and performance audits on React and Next.js applications Each rule has a prefix code (e.g., async-parallel , bundle-barrel-imports ) for easy reference in automated tooling and documentation

Access Azure AI Search, Speech, OpenAI, and Document Intelligence services through unified MCP tools. AI Search supports full-text, vector, hybrid, and semantic search with built-in AI enrichment for entity extraction and OCR Speech service handles real-time and batch speech-to-text transcription, text-to-speech synthesis with neural voices, and speaker diarization MCP tools provide direct access: azure__search for index queries and azure__speech for transcription and synthesis SDK references available for Python, TypeScript, .NET, and Java across all services; enable via /azure:setup or /mcp if MCP is not active

Guidance and reference material for instrumenting webapps with Azure Application Insights. Covers SDK setup, telemetry patterns, and configuration for ASP.NET Core and Node.js applications hosted in Azure Distinguishes between this skill (reference and guidance) and azure-prepare (actual implementation); invoke azure-prepare when the user wants to add instrumentation to their project Provides auto-instrumentation guidance for C# ASP.NET Core apps in Azure App Service, plus manual instrumentation paths for creating App Insights resources via Bicep templates or Azure CLI Includes language-specific code modification guides for ASP.NET Core, Node.js, and Python, plus quick references for OpenTelemetry SDKs and exporters

Microsoft Entra ID app registration, OAuth 2.0 configuration, and MSAL integration for secure application authentication. Covers app registration setup, authentication configuration, API permissions, and client credential management across web apps, SPAs, mobile apps, and daemon services Includes step-by-step workflows for first-time registration, console application authentication, and service-to-service credential flows Provides Azure CLI commands, MSAL library examples for .NET, JavaScript, Python, and Java, plus security best practices for secret rotation and token validation Distinguishes scope clearly: handles identity and authentication setup but excludes Azure RBAC, Key Vault secrets management, and resource security

Unified access to Azure blob storage, file shares, queues, tables, and data lake services. Supports five storage service types: Blob Storage for objects and backups, File Shares for SMB access, Queue Storage for async messaging, Table Storage for NoSQL key-value data, and Data Lake for big data analytics MCP server tools enable listing storage accounts, containers, and blobs, plus downloading and uploading blob content directly Configurable access tiers (hot, cool, cold, archive) and redundancy options (LRS, ZRS, GRS, GZRS) for cost and durability optimization CLI fallback available via az storage commands when MCP is not enabled; SDK references provided for Python, TypeScript, Java, Rust, and Go