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 for applying machine learning to complex fields like chemistry, materials science, and biology. It enables users to perform molecular property prediction (e.g., ADMET, toxicity), train models using specialized graph neural networks (GNNs), and process diverse molecular formats (SMILES, SDF, FASTA). It provides extensive featurization options, making it foundational for drug discovery and computational chemistry research.

Create professional, data-driven infographics effortlessly. This skill uses advanced AI (Nano Banana Pro) integrated with web research to gather accurate statistics and facts. It supports various visualization types (e.g., timelines, comparisons, statistical charts) and includes a smart iterative review process, ensuring the output meets high quality standards for specific document types like marketing materials or business reports. No design expertise required.

Pymatgen is a comprehensive Python toolkit designed for computational materials science. It enables users to create, analyze, and manipulate complex crystal structures, calculate electronic properties (DOS, band structures), simulate phase transitions, and interact with large material databases like the Materials Project. Ideal for solid-state physics, chemistry, and advanced materials research.

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.