Skill UI

This guide outlines modern best practices for building clean, maintainable, and scalable user interfaces using Avalonia. It emphasizes leveraging semantic containers (like HeaderedContainer, EdgePanel), defining shared styles, and creating generic components to minimize XAML redundancy and deep nesting. It guides developers to use Behaviors over code-behind, ensuring adherence to clean architectural principles.

Guides building production-ready Azure Cosmos DB NoSQL services with FastAPI, enforcing clean code, security best practices, and TDD-friendly layers for client setup, service logic, and model conversion.

Azure ResourceManager DurableTask .NET SDK lets you provision and manage Durable Task Scheduler, hubs, and retention policies through ARM so infrastructure code can automate scheduler creation, SKU changes, and cleanup before running orchestrations.

Guides developers through Robert C. Martin’s Clean Code mindset, focusing on naming, structure, error handling, and small functions to turn workable scripts into readable, maintainable systems and keep reviews and refactors aligned with industry best practices.

This skill acts as an expert in code refactoring, specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. It analyzes existing code to improve its quality, reduce complexity, and enhance maintainability. Use it for refactoring tangled sections, eliminating code smells, improving testability, and safely preparing modules for new features while ensuring behavior remains stable.

This skill acts as an expert dependency security auditor. It scans project dependencies to identify known vulnerabilities (CVEs), licensing conflicts, outdated packages, and supply chain risks. It provides comprehensive, actionable remediation strategies and security reports to ensure code stability and compliance.

This expert skill analyzes and refactors existing codebases, applying clean code principles, SOLID design patterns, and modern software engineering best practices. It is designed to improve code quality, enhance maintainability, resolve technical debt, and boost overall performance. Use this when cleaning up large, complex codebases or preparing for significant new feature development.

You are a technical debt expert specializing in identifying, quantifying, and prioritizing technical debt in software projects. Analyze the codebase to uncover debt, assess its impact, and create acti

This skill guides the application of Domain-Driven Design (DDD) tactical patterns, including defining aggregates, modeling value objects, managing repositories, and utilizing domain events. It helps developers translate complex domain rules into clean, robust, and behavior-rich code structures, ensuring invariants are explicitly enforced.

Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with fp-ts.

nanoGPT is a simplified, minimalist implementation designed specifically for educational purposes. It reproduces the core architecture of GPT-2 (124M) using clean, hackable code, allowing users to understand the entire transformer pipeline from scratch. The framework supports full workflows, including data preparation on various datasets (e.g., Shakespeare, OpenWebText), model training, and text generation, making it ideal for students and researchers learning NLP and deep learning principles.

Provides a senior-level workflow combining planning, architecture, TDD, clean-code practice, and pixel-perfect UX validation for Portuguese (Brazil) projects to guarantee production-grade deliveries with technical and visual review gates.