Skill UI

A comprehensive guide for developing robust, Unix-native Command Line Interfaces (CLIs) using Go. It details best practices for command structure, flag handling, configuration layering (Viper), and argument validation using Cobra. Learn how to build, extend, and review professional-grade Go tools that behave predictably in shell environments.

This skill provides an interactive, guided tutorial for beginners learning GitHub Copilot CLI. It features separate learning tracks for both developers and non-developers, covering everything from basic terminal usage to advanced planning commands. Use this skill to make the command line approachable and fun, regardless of your technical background.

This comprehensive guide outlines best practices for writing high-quality, scalable, and maintainable code in .NET/C#. It covers core architectural principles, including SOLID, dependency injection, and design patterns (e.g., Command Handler). Furthermore, it addresses modern challenges such as structured logging, async/await patterns, secure coding, robust testing standards, and advanced AI integration using Semantic Kernel.

The comprehensive command-line interface (CLI) for interacting with all major features of GitHub. This tool allows developers to manage repositories, create and review pull requests, track issues, utilize Codespaces, and perform advanced organizational tasks—all directly from the terminal. It is essential for streamlining DevOps workflows and automating GitHub operations.

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 powerful command-line interface for managing and synchronizing AI skills and agents across dozens of AI tools (e.g., Claude, Cursor). It provides a unified source of truth for skill deployment, handling global and project-specific configurations. Use it to install, sync, update, discover, and audit complex AI workflows, including managing structured extras (rules, commands) and custom content transformations via extensions.

This skill provides comprehensive guidelines for contributing and managing commands within VS Code extensions. It covers crucial best practices, including naming conventions, defining visibility (e.g., Command Palette vs. Side Bar), and structuring commands for optimal user experience. Use this when adding, updating, or understanding the architectural requirements for extension commands.

This guide provides comprehensive guidelines for localizing all aspects of VS Code extensions. It covers best practices for handling configurations (settings, commands, menus), user-facing string resources, and walkthrough content. Developers can use this skill to ensure their extensions are properly adapted and functional for multiple languages.

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.

A comprehensive diagnostic reference for common Bright Data proxy and API errors, including 407, 502, SSL Certificate errors, and rate limit issues. This guide provides specific causes, detailed fixes, and command-line solutions (cURL, Python, JavaScript) to ensure uninterrupted web scraping and API integration.

This comprehensive guide demonstrates how to programmatically interact with Apple Notes on macOS. It covers essential functions like creating new notes, listing all notes, reading specific content, searching by keywords, organizing notes into folders, and deleting entries. It primarily utilizes JXA (JavaScript for Automation) and AppleScript via the command line (osascript). Ideal for developers learning native macOS automation or integrating Notes management into larger workflows.