Skill UI

This skill safely randomizes the order of repetitive JSON objects within an array without corrupting the data or breaking the JSON syntax. It acts as a data engineer, rigorously validating the input schema (checking for property consistency and lack of nesting) before performing the shuffle. It ensures data integrity is maintained while reordering records, making it ideal for testing, simulation, or data preparation workflows.

Analyzes PostgreSQL snippets or entire projects to flag anti-patterns, enforce best practices, optimize JSONB/array usage, schema design, custom types, triggers, extensions, and security policies like RLS.

Scale pandas and NumPy workflows beyond RAM using Dask for parallel and distributed computing. Ideal for processing large multi-file datasets, out-of-core DataFrames, big arrays, and unstructured data, from laptops to clusters.

Read, inspect, and write Flow Cytometry Standard (FCS) 2.0/3.0/3.1 files with FlowIO 1.4.0 in Python. Extract event data as NumPy arrays, inspect HEADER/TEXT/channel metadata, handle multi-dataset files, and export FCS 3.1 without compensation or gating.

Design, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows covering arrays, tabular/time data, functions, tests, projects, graphics, MAT files, and Python interoperability, with license and execution safety gates.

Generate production-quality React components and UIs using the specialized Rayden UI component library and Tailwind CSS. This skill ensures that all generated code strictly adheres to a defined design system, including correct component usage, design tokens, prop validation, and established layout patterns. Ideal for scaffolding complex pages like dashboards, login forms, and data tables while maintaining premium aesthetics and consistency.

Store and process large N-dimensional arrays with chunking, compression, and parallel I/O. Supports cloud stores like S3/GCS via fsspec and integrates with NumPy, Dask, and Xarray for scientific pipelines.

This guide details the most common and tricky mistakes developers encounter when building integrations with the Notion API. It covers critical pitfalls such as incorrect page ID formats, handling rich text arrays, ensuring proper page sharing permissions, and correctly retrieving nested block content. Essential reading for debugging and optimizing Notion-related code.

This skill allows users to build and maintain complex UI components and full screens directly within Figma using the Figma MCP. It rigorously enforces a defined design system (like Rayna UI) by validating design tokens, applying craft rules, detecting anti-patterns, and ensuring visual consistency. Ideal for creating new components, composing entire dashboards or landing pages, or auditing existing files for compliance.

A comprehensive guide detailing the process of migrating data warehouses to Snowflake from major sources like Amazon Redshift, Google BigQuery, or on-premise databases. This resource covers critical steps including schema conversion (handling dialect differences like STRUCT/ARRAY to VARIANT), robust data transfer methods (S3/Cloud Storage, Python/Pandas), data validation techniques (checksums, row counts), and essential SQL syntax translation patterns.

This bundle collects comprehensive diagnostic information about the WebContainer environment. It checks the boot state, file system integrity, running process list, and modern browser support (e.g., SharedArrayBuffer, cross-origin isolation). Essential for developers integrating with StackBlitz SDK or WebContainers to troubleshoot complex development issues.

Store and query genomic variant data with TileDB sparse arrays. Ingest VCF/BCF files, add samples incrementally, run parallel region queries, and export subsets for population genomics workflows.