When users ask "how do I do X" or "can you help with Y," this skill searches the open agent skills ecosystem instead of making you reinvent the wheel. It checks skills.sh for existing solutions, runs CLI searches with specific keywords, and verifies quality by checking install counts and source reputation before recommending anything. The skill prioritizes battle-tested options from sources like vercel-labs and anthropics over unknown packages with low install counts. It's essentially a package manager interface that prevents you from manually coding solutions that already exist as installable skills.
Routes Azure VM questions to either recommendation or troubleshooting workflows based on user intent. If you're asking about VM sizing, pricing, or VMSS configuration, it hits the retail pricing API and VM families documentation to give workload-specific recommendations. For connectivity issues, it walks through RDP/SSH failures, NSG blocking, and password resets with structured diagnostics. The routing logic is clean and the workflows feel comprehensive, though you'll still need Azure CLI access for live troubleshooting. Solid choice if you're regularly fielding VM questions and want consistent, reference-backed responses instead of generic advice.
Provides MCP tools for Azure's core AI services: search queries across indexes, speech-to-text transcription, text-to-speech synthesis, and document OCR. The azure__search tool handles full-text, vector, and hybrid searches, while azure__speech manages audio transcription and voice synthesis. Use this when you're building search experiences, processing audio content, or extracting text from documents through Azure's AI stack. The MCP integration is cleaner than CLI commands for programmatic access, though you'll still need the Azure CLI for service provisioning and management tasks.
Azure AI provides developers and cloud architects with tools to integrate Azure's AI services—including AI Search, Speech, OpenAI, and Document Intelligence—into their applications through MCP tools and CLI commands. The skill solves the problem of implementing complex AI capabilities like vector search, speech-to-text conversion, OCR, and semantic search by offering simplified access to these services. It serves users building AI-enhanced applications who need quick reference guides, SDK documentation, and command-line access to Azure's cognitive services.
This is Alibaba's professional image generation model wrapped for Claude via the inference.sh CLI. The Pro version excels at text rendering in images, making it solid for posters, banners, and marketing materials where you need crisp, readable text overlays. It handles complex prompts better than the standard model and produces more photorealistic textures. You can control dimensions, generate multiple variations, and use reference images for style transfer. The skill shows practical examples for marketing banners and text-heavy designs. Good choice when DALL-E or Midjourney aren't cutting it for text-heavy commercial work.
Claude runs a systematic SEO audit covering crawlability, technical foundations, on-page optimization, and content quality. It checks robots.txt, sitemaps, Core Web Vitals, title tags, heading structure, and internal linking while flagging common issues like duplicate content, canonicalization problems, and keyword cannibalization. The skill includes a helpful warning about schema markup detection limitations since web_fetch can't see JavaScript-injected structured data. It adapts the audit scope based on your site type and provides actionable recommendations in priority order. Good for diagnosing traffic drops, pre-launch reviews, or comprehensive health checks when you suspect SEO issues but aren't sure where to start looking.
