Skill UI

This guide provides comprehensive patterns for migrating Enzyme unit tests to React Testing Library (RTL), especially when upgrading to React 18. It emphasizes the crucial philosophical shift from testing internal implementation details (like state or props) to asserting visible user behavior. Learn best practices for rewriting shallow/mount/simulate calls into modern, accessible, and resilient RTL queries, ensuring your tests reflect how a user genuinely interacts with the component.

Guides adding Arize AX tracing to apps via an agent-assisted two-phase flow, emphasizing read-only analysis before manual instrumentation, favoring auto-integration, and adding manual chain/tool spans for LLM tool calls.

Master the art of developing robust and scalable Python applications that interface with Microsoft Dataverse. This skill covers implementing enterprise-grade best practices, including comprehensive error handling using DataverseError hierarchy, advanced retry logic with exponential backoff, and optimizing API calls using OData standards (filtering, selecting, and expanding). It ensures code is clean, maintainable, and production-ready.

This skill provides advanced, deep-dive debugging capabilities for failing Power Automate cloud flows using the FlowStudio MCP server. Unlike standard API calls that only show top-level status codes, this tool retrieves action-level inputs, outputs, and detailed error information. Use it to find the true root cause of complex failures, diagnose expression errors, check connector authentication issues, or trace intricate flow execution paths.