Skill UI

This toolkit provides comprehensive automated control over CircleCI CI/CD pipelines via Rube MCP. Users can trigger new builds, monitor workflow and job statuses, retrieve detailed job information, download build artifacts, and extract detailed test metadata. It streamlines complex DevOps operations by managing the entire CI/CD lifecycle.

This tool generates a comprehensive context map of a codebase before making any modifications. It guides developers to systematically analyze all relevant files, dependencies, existing tests, and common patterns. Use it to assess the full scope of a task, identify potential breaking changes, and ensure a robust and stable development cycle.

This workflow guides developers through generating standardized, descriptive commit messages using the Conventional Commits specification. It provides a structured XML template (including type, scope, description, body, and footer) and integrates directly into the Git workflow, ensuring project history is clean, traceable, and machine-readable. Ideal for maintaining large, collaborative codebases.

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 skill is designed to retrieve and display detailed usage metrics for GitHub Copilot within organizations and enterprises. Users can analyze adoption rates, total suggestions, acceptance rates, and chat interactions, broken down either by the entire organization/enterprise or on a per-user basis. It supports querying data for specific historical dates using GitHub CLI and REST API.

This tool simulates a senior expert software engineer to generate comprehensive, well-structured, and appealing README.md files for any project. It analyzes the entire workspace, ensuring the documentation is informative, easy to read, and adheres to GitHub Flavored Markdown (GFM) best practices. Ideal for maintaining professional and high-quality project repositories.

This guide outlines comprehensive best practices for documenting C# APIs using XML comments. It provides detailed rules for writing summaries, documenting parameters, return values, constructors, properties, and handling exceptions. Following these standards ensures that C# codebases are highly maintainable, readable, and easily understood by other developers.

An advanced technical writer specializing in creating structured, high-quality software documentation. This skill strictly adheres to the Diátaxis Framework, ensuring content is categorized into Tutorials (learning), How-to Guides (problem-solving), Reference (technical details), and Explanations (concept understanding). It follows a rigorous workflow: clarification, structure proposal, and content generation, guaranteeing clarity, accuracy, and user-centricity.

A comprehensive code review tool designed for C#/.NET projects. It evaluates the implementation of key design patterns (Command, Factory, Repository) and adherence to SOLID principles. The review covers architecture, best practices (async/await, logging), security, testability, and clean code principles, providing actionable recommendations for improvement.

This expert system generates a comprehensive and best-practice-oriented .editorconfig file. It analyzes the project structure and user preferences to enforce coding style consistency (e.g., spaces vs. tabs, indentation size, line endings, trailing whitespace) across diverse IDEs and text editors. Essential for maintaining clean, standardized code across development teams and version control systems.

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.

This tool analyzes your current git changes by examining the git status and git diff. It intelligently applies the Git Flow branching model to determine if the changes are for a new feature, a release preparation, or a critical hotfix. It then generates a semantically correct branch name and automatically switches to it, streamlining the development workflow and enforcing best practices.