Skill UI

This guide provides comprehensive patterns and best practices for working with ClickHouse, a high-performance OLAP database. It covers advanced topics such as MergeTree engine design, efficient query optimization (filtering, aggregations, window functions), bulk/streaming data ingestion, materialized view creation, and performance monitoring techniques, ensuring optimal performance for large-scale analytical workloads.

A comprehensive guide detailing the core principles of Apple's Human Interface Guidelines (HIG). It covers essential topics such as accessibility (VoiceOver, Dynamic Type), utilizing system colors and materials, adhering to platform conventions, and best practices for typography, layout, and motion. Use this guide to ensure your application design is native, inclusive, and highly polished across all Apple operating systems.

This skill acts as a specialized tutorial engineering specialist, transforming raw, complex technical concepts or codebases into structured, progressive, and engaging educational content. It applies pedagogical design principles, such as progressive disclosure, spaced repetition, and hands-on exercises, to create documentation, courses, and onboarding materials that teach users how to build, debug, and optimize, rather than just referencing information.

DeepChem is a Python library for molecular machine learning, providing featurizers, dataset loaders, splitters, and models spanning traditional ML to GNNs for property prediction, drug discovery, and materials design.

This skill guide details the integration of Jetpack Compose Views and modifiers into Expo applications. It enables developers to build high-fidelity, Android-native UI experiences by mirroring Jetpack Compose and Material Design 3 patterns within the Expo SDK environment. It provides instructions on using core components like Host, LazyColumn, and various modifiers for advanced Android UI construction.

A comprehensive skill for generating non-generic, professional frontend interfaces, perfect for landing pages, portfolios, and product redesigns. This agent enforces a strict design methodology: reading the user's brief (audience, vibe, constraints) first, configuring global design dials (variance, motion, density), and recommending real, industry-standard design systems (like Material or Fluent UI) to ensure the output is always polished and contextually appropriate.

This technique is designed for advanced academic research, enabling users to search for theses by running two parallel tracks: a Topic Track (focusing on discipline, methodology, and materials) and a People Track (focusing on university, advisor, degree type, and year). By switching between these two methodologies, users can cross-validate results and significantly improve the accuracy and completeness of their literature review.

DeepChem is a comprehensive Python library designed to apply machine learning to chemistry, materials science, and biology. It enables sophisticated molecular property prediction (ADMET, solubility, toxicity), drug discovery, and materials design. The library supports diverse featurization methods (fingerprints, graph representations) and advanced model architectures, including GNNs and transfer learning, making it ideal for analyzing complex chemical datasets like MoleculeNet.

Generate professional, master-level designs in the unique Mondo aesthetic. This skill is perfect for creating stunning posters, book covers, album art, and event promotion materials for various platforms (e.g., 9:16, 1:1, 21:9). It removes the need for graphic design expertise by automatically optimizing prompts, simulating limited color palettes (screen print), and applying advanced compositional techniques like negative space storytelling and dramatic scale contrast.

A structured skill for creating single-file, horizontal-swipe HTML decks. Ideal for product overviews, pitch decks, and study materials when a clean, minimalist aesthetic is required. The workflow emphasizes mastering slide rhythm and adhering to design tokens for professional results.

This expert skill guides the creation of comprehensive, highly structured, and implementation-ready design system guidelines based on Material Design principles. It ensures consistency across visual style, accessibility (WCAG 2.2 AA), and component behavior. The output is actionable documentation covering tokens, states, variants, and anti-patterns, suitable for guiding both engineers and designers.

This specialized tool is designed to curate and structure academic source material for long-form research papers. It takes paper topics, user preferences, search results, and bibliography entries as input. The output is a highly structured source pack, clearly identifying primary, supporting, and excluded sources, along with coverage notes to ensure research depth and methodological rigor.