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Distinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementation to ensure cohesive, memorable designs Emphasizes typography, color theming with CSS variables, motion design, spatial composition, and textural details as core design pillars Generates working code (HTML/CSS/JS, React, Vue) that matches implementation complexity to the aesthetic vision, from refined minimalism to elaborate maximalism Explicitly avoids overused fonts, clichéd color schemes, and predictable layouts that characterize generic AI-generated interfaces

React and Next.js performance optimization across 70 rules prioritized by impact. Organized into 8 categories from critical (eliminating waterfalls, bundle optimization) to low priority (advanced patterns), each with specific, actionable rules prefixed for easy reference Covers server-side performance including React.cache() deduplication, parallel fetching, and serialization minimization Addresses client-side concerns: re-render optimization through memoization and dependency management, rendering performance with CSS strategies and hydration patterns Includes JavaScript-level optimizations like DOM batching, caching, and Set/Map lookups for O(1) performance Each rule includes detailed explanations, incorrect and correct code examples, and contextual guidance for automated refactoring and code generation

Systematic diagnosis and remediation for Azure production issues using AppLens, Monitor, and resource health. Covers Container Apps, Function Apps, and AKS troubleshooting with service-specific guides for image pulls, cold starts, health probes, invocation failures, and node/pod issues Integrates AppLens (MCP) for AI-powered root cause analysis and Azure Monitor (MCP) for KQL-based log and metric queries Provides a five-step diagnostic flow: identify symptoms, check resource health, review logs, analyze metrics, and investigate recent changes Includes quick reference commands for activity logs, container logs, and App Insights queries, plus routing guidance for AKS-specific incidents

Unified access to Azure AI services: Search, Speech, OpenAI, and Document Intelligence. AI Search supports full-text, vector, hybrid, and semantic search with AI enrichment capabilities like entity extraction and OCR Speech service enables speech-to-text transcription (real-time and batch), text-to-speech with neural voices, speaker diarization, and custom models MCP server integration provides direct tool access via azure__search and azure__speech commands; falls back to CLI and SDK when MCP is unavailable Includes OpenAI model access, DALL-E image generation, embeddings, and Document Intelligence for form extraction and OCR

Pre-deployment validation for Azure readiness with configuration, infrastructure, RBAC, and identity checks. Runs recipe-specific validation commands including Bicep builds, Terraform validation, and Azure CLI preflight checks Verifies RBAC role assignments in infrastructure code and managed identity permissions before deployment Requires .azure/deployment-plan.md from azure-prepare skill; records validation proof and updates plan status to Validated only after all checks pass Integrates into the three-step workflow: azure-prepare → azure-validate → azure-deploy

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