Learn how to build production-ready Claude Skills that extend AI capabilities through modular, filesystem-based components. This comprehensive guide covers architecture principles, implementation in Node.js, Python, and C#, API integration, and real-world enterprise use cases.
Tag: Claude
Claude Sonnet 4.5: A Comprehensive Guide to Anthropic’s Most Powerful Coding Model
Explore Claude Sonnet 4.5, Anthropic’s most powerful coding model with 30+ hour autonomous operation, 77.2% SWE-bench score, and comprehensive API integration examples in Python, Node.js, and C#.
Multi-Model Orchestration: Claude, GPT-4, and Gemini in Azure AI Foundry
Azure AI Foundry provides access to Claude, GPT-4, and Gemini models in a single platform. Multi-model orchestration allows you to leverage each model’s strengths, implement
Cost Optimization Strategies for Azure AI Foundry Claude Deployments
Azure AI Foundry deployments of Claude can quickly become expensive at scale without proper cost management. Understanding the pricing model, implementing intelligent caching, choosing appropriate
Building Production RAG Systems with Azure AI Foundry and Claude
Production RAG systems transform Claude from a general-purpose assistant into a domain expert grounded in your enterprise data. Building reliable, scalable RAG architectures in Azure
Model Context Protocol Part 5: Integrating MCP Servers with Azure AI Foundry and Claude
Connect MCP servers to Azure AI Foundry and Claude with practical integration examples. Learn configuration, authentication, and cross-platform orchestration patterns for enterprise AI deployments.
Model Context Protocol Part 1: Understanding the New Standard for AI-Data Integration
Explore the Model Context Protocol (MCP), the emerging standard for AI-data integration. Learn MCP’s client-host-server architecture, JSON-RPC messaging, capability negotiation, and how it solves the enterprise AI integration challenge.
