Skill UI

This skill provides a comprehensive audit of user interfaces, evaluating screens against Nielsen's 10 Usability Heuristics and modern mobile UX best practices. It systematically checks for critical usability flaws, design inconsistencies, accessibility gaps, and potential dark patterns, ensuring the resulting product delivers a superior and intuitive user experience across all platforms.

This comprehensive guide serves as a technical reference for migrating applications from the Universal Windows Platform (UWP) framework to the modern WinUI 3 / Windows App SDK. It details crucial API changes, including namespace updates, window management (CoreWindow to AppWindow), threading models (CoreDispatcher to DispatcherQueue), and best practices for dialogs and background tasks. Essential for developers updating legacy UWP codebases.

This guide details strategies for finding the full legal birth names of European actors, particularly those from French and Eastern European backgrounds. When English sources or IMDb only list stage names, this technique emphasizes using regional resources like French Wikipedia and specific cultural identifiers (e.g., "People's Artist" USSR) to perform deep, targeted searches, ensuring the retrieval of accurate birth details.

Consult another agent for help, plans, reviews, or decision support in multi-agent workflows. Explains using list_agents() and chat_with_agent(), background submission and status checks, session ID reuse, and loop-avoidance best practices.

Provides advanced search strategies and domain knowledge for football queries that fall outside the major European leagues (e.g., Premier League, La Liga). This guide covers critical contexts in African leagues (CAF, PSL), South Asian leagues (I-League, ISL), Russian football, and tracing players' origins, ensuring comprehensive and non-biased research on global football history and facts.

PyTorch Lightning is a deep learning framework that organizes PyTorch code to eliminate boilerplate while maintaining flexibility. It automates training workflows, supports multi-GPU/TPU orchestration, and implements best practices for neural network training. Features include LightningModules, Trainers, data pipelines, callbacks, logging (W&B, TensorBoard), and distributed training strategies like DDP and FSDP for scalable training.

A set of production-ready wrappers and patterns for interacting with the CAST AI REST API. This package provides robust client implementations in TypeScript and Python, handling critical features such as typed responses, singleton management, automatic retry logic with backoff, and managing cloud resources (e.g., Kubernetes clusters, node optimization). Use it when building reusable, reliable clients for cost optimization and infrastructure management.

This advanced technique allows users to identify an obscure actor by linking indirect clues across three domains: the director, the film's characteristics, and the actor's biographical details. It is essential when direct searches fail, using the director's work or a film's context as the primary entry point to resolve the actor's identity.

A specialized technique for locating the full legal birth name of European actors, particularly French actors, who frequently use stage names. This process involves a two-phase search: first, identifying the stage name using general career clues (films, era, director); second, using specific queries like "birth name," "née," or "nom de naissance" to bypass the stage name and find the legal name. Ideal for deep biographical research.

Develop a complete, multi-chain wallet portfolio tracker using Alchemy's Enhanced APIs. This workflow aggregates ETH balances, ERC-20 token holdings, NFT assets (ERC-721/1155), and transaction history across major chains (Ethereum, Polygon, Arbitrum, Optimism, Base). Ideal for building sophisticated decentralized applications (dApps) and comprehensive Web3 dashboards.

This guide details production-ready patterns for integrating the Anima SDK into automated design-to-code pipelines. It covers best practices such as implementing a singleton client, managing generation cache, normalizing output for project conventions (e.g., TSX structure, utility classes), and incorporating retry logic for API resilience. Use it when building robust, reusable Anima client wrappers for enterprise applications.

This guide details how to set up and test Apify Actors locally using the Apify CLI. It emulates the full platform environment (including datasets, key-value stores, and request queues), allowing developers to run scrapers, test data handling, and debug the entire development lifecycle before deploying to the cloud. Perfect for rapid iteration and rigorous local testing.