Skill UI

A deep-dive session designed to stress-test a technical plan against an existing domain model. This process forces the user to resolve ambiguities, sharpen terminology, and validate decisions by cross-referencing code and existing documentation (CONTEXT.md, ADRs). It ensures architectural rigor and completeness before implementation.

A comprehensive guide detailing advanced security threats in Machine Learning and AI systems. Covers model supply chain attacks (RCE via pickle, poisoning), adversarial examples (FGSM, PGD, physical-world), data privacy breaches, and LLM-specific vulnerabilities. Essential for building robust, secure AI pipelines.

A comprehensive expert playbook detailing advanced Large Language Model (LLM) prompt injection techniques. Covers direct methods (instruction override, role play), indirect attacks (RAG poisoning, web data manipulation), and sophisticated tool/function calling abuse for data exfiltration and security bypass. Essential for rigorous AI application security testing.

This tool searches a comprehensive database of over 2500 curated open-source repositories for tools related to Large Language Models (LLMs), ChatGPT, RAG, agents, and NLP. It interprets natural language queries, converts non-English inputs to core English keywords, and systematically filters results across multiple specialized categories (e.g., LangChain, Chatbots, CLIs). Use it whenever the user needs to find specific AI development libraries or open-source AI tooling.

The Form Model system provides a comprehensive, declarative way to build complex user forms. It supports defining various field types (Text, Number, DateTime, File, Object, etc.) using a fluent builder API. Developers can control layout, apply advanced validation (Zod), implement conditional visibility/disability rules, and handle complex data structures like nested objects and dynamic zones, making it ideal for building advanced admin interfaces.

This tool functions as a Command Line Interface (CLI) alias for implementing the specific 'pua:mama' protocol within advanced coding models like Codex or Claude Code. It loads and enforces a structured 'mama skill/protocol,' maintaining rigorous verification standards while adjusting the visible narrative style to a specific 'Chinese-mom nagging mode.' It manages configuration by interacting with `~/.pua/config.json`, ensuring existing user fields are preserved.

This comprehensive skill transforms raw game concepts into fully actionable, structured Unity development projects. It guides users through a five-phase pipeline, generating detailed Game Design Documents (GDDs), technical scene blueprints, core system architectures, and ready-to-use AI prompts for assets (3D models, textures, music, SFX). Ideal for concept validation and starting a complex game project from scratch.

This guide assists developers in building robust Model Context Protocol (MCP) servers and clients using C#/.NET. It specifically targets the stable 1.x NuGet packages, providing detailed instructions for configuring various transports (STDIO, Streamable HTTP), defining custom tools, prompts, and resources. It helps solve common integration issues like stale preview pinning, complex HTTP wiring, and structured content handling, ensuring production-ready, standard-compliant code.

A comprehensive toolkit providing source generators and base classes for implementing the Model-View-ViewModel (MVVM) pattern in .NET applications. It simplifies the creation of observable properties, commands, and validation logic, significantly reducing boilerplate code. Supports major cross-platform UI frameworks including WPF, WinUI 3, MAUI, and Avalonia.

This skill guides developers on integrating CommunityToolkit.Mvvm ViewModels with Microsoft's Dependency Injection system. It covers setting up the composition root using the .NET Generic Host, managing service lifetimes (Singleton, Transient, Scoped), implementing constructor injection, and correctly registering messaging services (IMessenger) for robust, cross-platform XAML applications (WPF, MAUI, Uno, Avalonia).

The CommunityToolkit.Mvvm Messenger provides a robust Publish/Subscribe messaging system for ViewModels and other objects. It allows multiple components to communicate asynchronously without holding direct references, effectively eliminating tight coupling. Supports various messaging patterns, including simple value broadcasts, request/reply (sync/async), and collection requests, making it ideal for complex applications using WPF, WinUI 3, .NET MAUI, or Avalonia.

FLOW is an evidence-led SEO operating model designed for the AI-search era. It guides users through a structured Find → Leverage → Optimize → Win loop using 41 stage-specific, evidence-backed AI prompts. It systematically helps analyze keyword gaps, backlink strategies, on-page optimization, and conversion rate optimization (CRO), ensuring all SEO analysis is driven by structured, evidence-backed prompts rather than improvised queries.