Skill UI

Master the architecture of reliable distributed systems using advanced workflow orchestration patterns. This guide covers fundamental design decisions, including the distinction between Workflows and Activities, and introduces critical patterns like Saga for distributed transactions, Entity Workflows, and Fan-Out/Fan-In. Learn best practices for handling long-running processes, state persistence, and failure recovery to build robust business logic.

PyHealth delivers a full-stack Python toolkit for building, evaluating, and deploying clinical machine learning models, covering EHR datasets, medical coding systems, physiological signals, and healthcare-tailored architectures such as RETAIN, SafeDrug, and Transformer-based pipelines.

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

Run OpenMM-powered molecular dynamics simulations and MDAnalysis trajectory workflows to build protein or small-molecule systems, minimize energy, equilibrate conditions, and characterize RMSD/RMSF, contacts, and free-energy surfaces for structural biology or drug studies.

Guides building production-grade LLM-as-judge evaluation systems by defining scoring and pairwise comparison setups, bias mitigation, and metric choices for automated and human-aligned quality assessment.

This skill outlines a comprehensive methodology for designing, building, and deploying robust LLM-powered applications. It covers assessing task-model fit, designing modular pipelines (acquire -> prepare -> process -> parse -> render), and managing state using file systems to ensure scalability and reliability in AI systems.

A comprehensive guide and best practices for managing event handling and defining custom action patterns within Makepad applications. It covers centralized action processing (using MatchEvent), widget-to-widget communication, and implementing complex state logic, making it ideal for building robust chat clients or complex UI systems.

This skill provides best practices for managing application state and ensuring data persistence within large-scale applications, particularly for systems using Makepad architecture (Robrix/Moly). It details core structures like AppState, techniques for passing state through widget trees (Scope), and handling persistent data serialization (serde) across sessions, making it essential for building robust, multi-session UIs.

Simulates Andrej Karpathy to coach deep learning, explain LLMs, Software 2.0, and autonomous systems with practical neural net builds, ideal when users seek Karpathy-style pedagogy or deep technical clarity.

A comprehensive guide for building modern, accessible, and scalable user interfaces using the shadcn/ui component library. This document outlines core principles, best practices for component composition, styling rules (including Tailwind CSS usage), and structured approaches for forms and layouts. Essential for developers building complex design systems and ensuring code consistency.

Helps founders and GTM teams set metrics, build tiers, and manage margins for AI products by grounding pricing choices in compute cost realities, credit systems, and buyer personas so revenue models scale with value.

Builds AI-powered paid media creative across Meta, Google, TikTok, YouTube, and LinkedIn by combining native platform tools and generative models to automate asset creation, fatigue management, and performance testing while driving ROAS.