Skill UI

The official SDK for building applications that programmatically interact with GitHub Copilot. It provides comprehensive features including session management, custom tool definition (function calling), real-time streaming, and lifecycle hooks. Supports multiple languages, including Node.js, Python, Go, and .NET, making AI integration seamless across your tech stack.

This skill generates complete gRPC service definitions, client/server stubs, and robust implementations directly from Protocol Buffer (.proto) files. It supports all streaming patterns (unary, server, client, bidirectional) and includes advanced features like authentication interceptors, health checks, and automatic REST-to-gRPC gateway generation, making it ideal for building high-performance, enterprise-grade microservices.

This skill orchestrates the entire coding lifecycle as a state machine, ensuring tasks proceed from issue intake through implementation, structured review, deployment, and final acceptance verification. It enforces a rigorous 'Definition of Done' (DoD) proof, moving beyond simple code changes. Ideal for complex feature development requiring structured handoffs and explicit verification evidence.

This advanced prompt simulates a Senior Project Manager and DevOps specialist. It takes comprehensive feature artifacts (PRD, technical breakdowns, testing plans) and generates a structured, automated GitHub project plan. It enforces Agile best practices (Epic > Feature > Story > Enabler > Task) and includes templates for issue creation, dependency management, risk assessment, and Definition of Done, ensuring robust project tracking within GitHub.

Automatically scaffolds the initial project specification and requirements documents (spec.json and requirements.md). It guides the user through scope definition by checking existing project briefs, clarifying intent (who, current state, desired change), and generating a structured, ready-to-use foundation for development planning. Ideal for starting any new feature or project.

A comprehensive system for managing API authorization using schema definition. It allows developers to define granular permissions for various entities, supporting scopes like 'full' and 'own'. The system provides injectable abstractions and explicit feature registration, covering schema definition, permission checking (read, write, delete), and testing scenarios.

Alex converts high-level requirements into a precise, dependency-aware, and actionable implementation checklist. It maps critical paths, breaks down features into atomic micro-tasks, and establishes clear Definitions of Done (DoD) across various layers. Ideal for bridging the gap between conceptual goals and step-by-step engineering execution.

This methodology guides the development of new features, product slices, or integrations while mitigating the risk of overbuilding. It mandates an architecture-first approach, requiring the definition of clear acceptance criteria and explicit non-goals. The process focuses on delivering a coherent end-to-end path across responsible system layers, omitting unnecessary configuration, polish, or complexity, and halting immediately upon successful acceptance testing.

Generates Cucumber BDD tests with Gherkin feature files and step definitions in Java, JavaScript, or Ruby. Handles scenarios, outlines, hooks, tags, and cloud execution on TestMu AI.