Skill UI

Build production-quality, accessible, responsive user interfaces. Use for creating or modifying components, layouts, state management, and ensuring WCAG compliance. Focuses on design system adherence, avoiding AI-generated aesthetics, and delivering polished, professional UI.

A comprehensive guide for building robust, professional Go Command Line Interfaces (CLIs). Learn the industry-standard approach using Cobra for command structure and Viper for advanced configuration layering (flags, env vars, config files). Covers command organization, flag validation, argument handling, and best practices for Unix-like tools.

A comprehensive guide to Go (Golang) naming conventions. It covers best practices for packages, structs, interfaces, constants, errors, and more. Use this skill when writing, reviewing, or refactoring Go code to ensure idiomatic and clear naming that follows Go standards (e.g., MixedCaps, constructor rules, error handling).

A comprehensive guide to advanced design patterns in Go, focusing on writing highly testable and clear code. It covers principles like keeping interfaces small and composable, defining contracts where they are consumed, preferring concrete return types, utilizing generics over 'any', and mastering the use of struct embedding and field tags for serialization.

This skill generates highly structured DESIGN.md files, acting as a semantic design system for Google Stitch. It translates complex, anti-generic frontend principles—including typography, color calibration, component behavior, and motion physics—into actionable, natural-language rules. Use it as the single source of truth to guide AI in generating premium, non-clichéd, professional user interfaces.

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 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 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.

A skill for creating, editing, validating, syncing, and troubleshooting n8n workflows using n8n-as-code. Manages workspace environments, local instances, tunnels, and workflow operations through command-line interfaces. Supports environment configuration, API key management, and workflow lifecycle management.

Generate structured specification files optimized for Generative AI consumption. Define requirements, constraints, and interfaces clearly using standardized Markdown templates. Ensure machine-readability and self-containment for effective AI processing and implementation.

Master the art of developing robust and scalable Python applications that interface with Microsoft Dataverse. This skill covers implementing enterprise-grade best practices, including comprehensive error handling using DataverseError hierarchy, advanced retry logic with exponential backoff, and optimizing API calls using OData standards (filtering, selecting, and expanding). It ensures code is clean, maintainable, and production-ready.

Guides creation or updates of object-oriented component documentation by analyzing code or existing docs, then applying C4/Arc42/IEEE templates to capture architecture, interfaces, and quality traits.