Skill UI

This guide provides an expert resource for writing and debugging correct expressions within n8n workflows. It details how to use the {{...}} syntax to access dynamic data from various sources, including the current node output ($json), data from previous nodes ($node), environment variables ($env), and handling complex webhook payload structures. Essential for reliable workflow automation.

A powerful tool that converts complex Unified Modeling Language (UML) diagrams—such as Sequence, Class, Activity, and State diagrams—into plain text ASCII art. This is crucial for documentation in environments that do not support image embedding, such as terminal sessions, README files, or Git commit messages. Supports both standard ASCII and enhanced Unicode ASCII formats for better visual fidelity.

A comprehensive guide and checklist for identifying potential risks when migrating database applications from Oracle to PostgreSQL. It systematically cross-references code and migration artifacts against known behavioral differences, covering issues such as empty string handling, refcursors, type coercion, sorting logic, and timestamp semantics. Use this tool during the planning phase to proactively mitigate risks, or during validation to ensure comprehensive integration test coverage for the new PostgreSQL environment.

This comprehensive guide provides step-by-step instructions for setting up a development environment to use AWS CDK (Cloud Development Kit) with Python. It covers installing prerequisites (Node.js, AWS CLI), initializing a CDK project, managing Python dependencies, and mastering the full deployment workflow, enabling users to define and deploy scalable AWS infrastructure as code.

Provides comprehensive patterns and techniques for securing AI agent systems. Learn how to enforce governance policies, including tool allow/block lists, content filtering, rate limiting, and human approval workflows. Essential for building robust, compliant, and trustworthy agents in multi-agent or production environments that interact with external APIs and sensitive data.

This skill analyzes Azure resource groups in depth, identifying all resources, their configurations, and complex interdependencies. It maps relationships—including network connections, data flows, and managed identities—to generate comprehensive, detailed Mermaid architecture diagrams. Use this when you need a clear, structured visualization and full documentation of an Azure environment's topology.

Builds production-ready rollout plans covering checks, procedures, verification signals, rollback, and communications for infrastructure or application changes across environments.

Operates Microsoft Power Automate flows through FlowStudio MCP by listing environments, reading definitions, checking run history, inspecting action outputs, resubmitting or canceling runs, and managing connections or triggers via the MCP API.

Master the art of scroll-driven motion with production-grade code recipes for both GSAP (ScrollTrigger) and Framer Motion. This skill covers all complex scroll effects, including parallax, pinned sections, horizontal scrolling, scrub animations, and view-triggered reveals, applicable in Vanilla JS, React, and Next.js environments. Ideal for implementing advanced, immersive user experiences that feel premium and highly polished.

Automates importing live Azure environments into Terraform by discovering subscriptions, groups, or resource IDs, mapping dependencies, and generating AVM-based IaC files ready for validation and planning.

A comprehensive guide for creating, updating, refactoring, and reviewing solutions built on the Microsoft Agent Framework. This skill provides unified best practices for both .NET and Python environments, serving as a modern successor to Semantic Kernel and AutoGen. It emphasizes adherence to the latest official documentation, async patterns, robust error handling, and structured agent/workflow orchestration for complex AI applications.

This guide provides comprehensive best practices for creating optimized, secure, and efficient multi-stage Dockerfiles. Learn how to separate build environments (builder stage) from minimal runtime environments, significantly reducing image size and attack surface. Topics covered include layer caching optimization, security hardening (non-root users), and using minimal base images for reproducible builds.