Building scalable software systems requires expert architectural guidance. This skill provides comprehensive architecture reviews, pattern evaluation, and design recommendations to ensure your system remains maintainable and future-proof.

Slow applications frustrate users and hurt business metrics. This skill coordinates comprehensive performance optimization across your entire stack using profiling, observability, and targeted tuning.

Build comprehensive mock API servers that simulate real backend behavior without needing actual services. Enable parallel development and thorough testing with realistic responses, scenarios, and contract validation.

Creating production-ready Airflow DAGs requires understanding operators, sensors, and error handling patterns. This skill provides battle-tested templates and best practices for data pipeline orchestration.

Poorly designed tool schemas cause agents to hallucinate, fail silently, or waste tokens. This skill teaches proven patterns for clear, unambiguous function-calling interfaces that work reliably.

Deploy custom AI agents as containerized services in Azure AI Foundry without managing infrastructure. Use the Azure AI Projects SDK to define, deploy, and manage hosted agents with your own Docker images and integrated tools.

Multi-agent workflows often suffer from coordination bottlenecks and unmanaged costs. This skill provides profiling, orchestration strategies, and cost controls to maximize efficiency.

This skill enables Claude to manage multiple local CLI agents running in parallel tmux sessions, providing start/stop/monitor capabilities and cron-friendly scheduling for automated workflows.

This skill automates Render cloud platform operations including service management, deployment triggering, and status monitoring through the Rube MCP integration.

Testing LLM models as AI agents requires consistent, measurable evaluation. PinchBench provides 23 diverse tasks spanning calendar management, email handling, research, coding, and multi-step workflows with automated grading and public leaderboard submission.

Develop multiple features in parallel without git branch switching. This skill creates clean, isolated worktrees with automatic project setup and test baseline verification.

Building with serverless databases requires understanding connection methods, scaling behavior, and platform-specific features. This skill provides comprehensive guidance for working with Neon Serverless Postgres across all development scenarios.

Cloud AI teams struggle with managing complex ModelArts resources through web consoles and fragmented scripts. This skill provides a unified command interface to manage notebooks, training jobs, inference services, resource pools, VPC networks, and KMS keys through natural language.

Simplify AI model development and deployment on Huawei Cloud ModelArts. This skill provides unified resource management for training jobs, models, inference services, and notebooks with built-in security features.

Manual web testing and repetitive browser tasks consume significant development time. This skill automates browser interactions through Playwright CLI for efficient testing, screenshots, form filling, and data extraction.

Before deploying to Azure, developers need confidence their infrastructure code and configuration are valid. This skill performs comprehensive pre-deployment validation including Bicep compilation, Terraform validation, Azure CLI checks, and policy compliance verification.

This official Microsoft skill provides comprehensive guidance for Azure Storage services including Blob, Files, Queue, Tables, and Data Lake. It offers MCP tools integration and CLI commands to help developers manage cloud storage resources efficiently.

Understand complex Azure infrastructure by generating detailed Mermaid diagrams that map resource relationships, dependencies, and configurations across your entire resource group.

Azure PaaS applications often lack zone redundancy and multi-region failover configurations, creating single points of failure. This skill systematically scans Azure Functions and App Service deployments, identifies reliability gaps, and guides remediation through CLI commands or IaC patches.

Prevent deployment failures by checking Azure quota availability before provisioning resources. Get accurate capacity information across regions using Azure CLI quota commands.