Skill UI

A command-line interface (CLI) for accessing and interacting with Model Context Protocol (MCP) servers. It acts as a unified gateway, allowing users to discover, inspect, and execute tools and APIs from external sources like filesystems, databases, APIs, and specialized services. Essential for programmatic workflow automation and system integration.

This comprehensive CLI tool enables users to manage all core resources within Azure DevOps from a command line interface. It provides full control over CI/CD pipelines, source code repositories (Git), work items (Boards), artifacts, and service connections. Ideal for scripting, advanced automation workflows, and integrating DevOps processes into larger continuous delivery systems.

A centralized command-line interface (CLI) for managing, syncing, and deploying AI skills, agents, and custom extras across dozens of AI tools (e.g., Claude, Cursor, etc.). It handles both global and project-specific configurations, enabling developers to maintain consistent, reproducible setups for complex AI workflows, including rule management, command setup, and CI/CD integration.

A comprehensive Command Line Interface (CLI) for managing the entire lifecycle of Windows applications. This skill allows developers to initialize projects, create signed MSIX packages, manage application manifests (AppxManifest.xml), handle development certificates, and access core Windows SDK build tools. It seamlessly supports building applications across various frameworks, including .NET, C++, Electron, Rust, and Tauri, ensuring cross-platform compatibility with native Windows capabilities.

A powerful utility for performing semantic searches across a large knowledge base of 105K+ skill cards. It allows users to find the most relevant skills based on natural language queries, supporting both Python API integration and Command Line Interface (CLI). This tool is zero-dependency and highly efficient for skill discovery and knowledge retrieval in development workflows.

FastMCP CLI provides a unified command-line interface to interact with Model Context Protocol (MCP) servers. It allows users to discover available tools and invoke them programmatically using `fastmcp list` and `fastmcp call`. The CLI supports various server targets (HTTP URLs, local files, configs), complex argument types, and ensures structured output, making it essential for building automated, multi-tool workflows and system integrations.

This guide demonstrates how to deploy a minimal "Hello World" application to the Fly.io platform. It covers two primary deployment methods: using the simple `flyctl` Command Line Interface (CLI) for quick setup, and utilizing the advanced Machines API for programmatic deployment. This skill is ideal for beginners starting a new Fly.io project, or for implementing robust, globally distributed edge compute infrastructure.

This guide provides comprehensive, step-by-step instructions to install and configure the Oracle Cloud Infrastructure (OCI) SDK and Command Line Interface (CLI). It details the secure process of generating RSA key pairs, setting up the mandatory local configuration file, and verifying API connectivity. Use this when integrating OCI services into applications, setting up new cloud environments, or troubleshooting authentication errors.

qzcli is a powerful command-line interface (CLI) tool designed for managing complex GPU compute jobs on the Qizhi platform. Modeled after industry standards like kubectl, it allows users to log in, discover available resources (nodes, workspaces), submit interactive or highly complex batch jobs (including matrix sweeps), and monitor job status efficiently. It is essential for handling high-performance computing (HPC) and distributed machine learning training workflows.

This package provides essential service abstractions for building command-line interface (CLI) applications within the Webiny ecosystem. It defines standardized interfaces for core functionalities like logging (LoggerService) and managing user interaction (UiService), ensuring consistency, modularity, and type safety across different CLI projects.

This abstraction provides the `CliCommandFactory` pattern, enabling developers to implement custom command-line interfaces (CLIs) for the Webiny ecosystem. It standardizes the process of defining, structuring, and interacting with various shell commands, ensuring robust and maintainable tooling within your application.

This skill provides a detailed guide on extending the Webiny Command Line Interface (CLI) by implementing custom commands. It utilizes the `CliCommandFactory` pattern to define structured commands, manage typed parameters, and execute complex logic. Use cases include automating data migrations, generating boilerplate code, executing custom deployment workflows, and performing CMS content exports.