Skill UI

This skill performs a comprehensive security audit of Model Context Protocol (MCP) server configurations found in .mcp.json files. It is designed to identify critical vulnerabilities, including hardcoded secrets (API keys, tokens), dangerous shell injection patterns, unpinned dependencies, and compliance issues regarding approved server lists. Use this skill during security reviews, project onboarding, or pre-commit checks to ensure secure deployment.

This skill automates the comprehensive localization and translation of an entire MkDocs documentation suite. It translates all Markdown files from source English folders into a specified target language, preserving the exact folder structure and Markdown formatting. Additionally, it updates include references and modifies the core mkdocs.yml configuration file to properly support the new locale, ensuring a seamless multilingual documentation setup.

An expert assistant specializing in n8n workflow engineering. It guides users through the entire lifecycle of n8n automation, from initial workspace setup and configuration management to developing, editing, and validating complex workflows using version-controlled TypeScript files. It ensures adherence to n8n best practices and provides access to complete node documentation to prevent parameter hallucination.

A comprehensive expert guide for utilizing the n8n-mcp toolset. This resource provides detailed instructions for node discovery, configuration validation, workflow creation, and management within n8n. It covers best practices, essential tool selection patterns, and common advanced usage mistakes.

This tool automates the entire process of creating a complete, production-ready application structure solely from an OpenAPI (Swagger) specification. It analyzes the spec to design the application architecture, generating all necessary layers including controllers, service logic, data models (DTOs), and repositories, adhering to best practices, framework conventions, and separation of concerns. The output includes unit tests, configuration files, and setup instructions, providing a robust, ready-to-use codebase.

This skill provides comprehensive CLI commands to manage AI integrations within Arize. It covers listing, creating, and retrieving configurations for various major LLM providers (including OpenAI, Anthropic, Gemini, AWS Bedrock, etc.), ensuring secure credential storage and proper setup for model evaluation and usage.

Aspire is a code-first polyglot toolchain that orchestrates containers, executables, and cloud resources through an AppHost project, guiding creation, debugging, configuration, deployment, and troubleshooting for distributed applications across languages.

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.

Interactive training for the GitHub Copilot CLI with guided lessons, quizzes, scenario challenges, and a reference covering slash commands, shortcuts, agents, MCP, and configuration; say “cliexpert” to begin.

Helps produce Dockerfiles and a detailed containerization plan for ASP.NET .NET Framework projects running in Windows containers, covering configuration settings, IIS, dependencies, and deployment steps.

Describes how to analyze a repository, prioritize key docs, and author an llms.txt entry so LLMs immediately understand the project scope, documentation clusters, and configuration artifacts they should consult.

Produces production-ready Dataverse SDK code for Python, showcasing advanced error handling and retries, batch operations, OData query tuning, metadata lifecycle management, configuration/timeouts, cache invalidation, chunked file uploads, and Pandas integrations with references.