Skill UI

This guide provides a comprehensive, step-by-step process to scaffold a modern Spring Boot application using Kotlin. It covers downloading the template, configuring dependencies (including SpringDoc and ArchUnit), and setting up complex polyglot environments using Docker Compose. Supports PostgreSQL, MongoDB, Redis, and WebFlux reactive programming.

This skill guides the generation of a complete, production-ready Model Context Protocol (MCP) server using C# and .NET. It covers advanced architectural patterns, including Host builder setup, proper dependency injection, structured logging, and implementing robust functional tools. Ideal for developers building sophisticated AI agents or backend services that require standardized communication and tool invocation capabilities.

A comprehensive methodology guiding technical professionals through the design process before coding. It helps structure complex features by producing detailed design documents, including system overviews, data models, API specifications, multiple trade-off analyses, and implementation plans, ensuring robustness and clarity from the start.

This comprehensive guide provides a structured set of prompts to manage the entire lifecycle of upgrading a legacy .NET solution. It covers everything from initial project classification and dependency compatibility review to code modernization (e.g., async conversion), updating CI/CD pipelines, and defining robust testing and deployment strategies. Ideal for large-scale migration of older .NET applications to modern frameworks like .NET 8.

A comprehensive guide and set of tools for programmatically building, scaffolding, and deploying Power Automate cloud flows using the FlowStudio MCP server. It guides agents through the entire workflow, including checking for existing flows, resolving connection references, defining actions, and final deployment/testing, all without needing to open the portal.

An insightful guide detailing the patterns observed in a long-term, deep partnership between an AI and a principal engineer. It covers critical soft skills for high-energy creative work, such as building trust through honesty, matching rapid pace, providing constructive disagreement, and supporting human ownership of breakthroughs. Ideal for professionals who need to collaborate with highly capable, fast-moving human partners or build advanced AI systems that mirror nuanced human interaction.

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 skill provides comprehensive capabilities for managing the entire issue lifecycle on GitHub. Users can create structured bug reports, feature requests, and tasks, and also read, list, and update existing issues. It supports setting labels, assigning owners, managing milestones, and tracking complex dependencies. Ideal for engineering teams needing robust project backlog management.

This tool provides comprehensive automation for core GitLab operations, streamlining the entire development lifecycle. Users can manage projects, track issues, review merge requests, manage branches, and monitor CI/CD pipelines. It leverages a unified API interface to handle complex workflows, ensuring efficiency in version control and collaborative development environments.

A lightweight, standalone integration for Google Drive that provides full read/write access without requiring a dedicated MCP server. It allows scripts to perform comprehensive file and folder operations, including searching, uploading, downloading, moving, renaming, and managing content within a Google Workspace account. Ideal for automating workflow tasks that depend on Google Drive data.

Automate routine HelpDesk tasks using the dedicated Rube MCP toolkit. This skill allows users to list, browse, and paginate through support tickets, manage predefined agent views, retrieve canned responses, and inspect custom field definitions, streamlining entire support workflows and improving operational efficiency.

This skill teaches users to apply the scientific method to software debugging. Instead of random changes, it guides the process through five steps: Observation, Hypothesizing, Prediction, Testing, and Analysis. By systematically forming and testing specific, measurable hypotheses, users can efficiently isolate failing components and confirm the true root cause of technical issues.