Discover and install specialized agent skills from the open ecosystem when users need extended capabilities. Helps identify relevant skills by domain and task when users ask "how do I do X" or "find a skill for X" Integrates with the Skills CLI ( npx skills find , npx skills add ) to search, verify, and install packages from the skills.sh directory Recommends skills based on install count, source reputation, and GitHub stars to ensure quality before suggesting installation Presents skill options with install commands and links to skills.sh for user review and one-click installation

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