Skill UI

The official JavaScript/TypeScript SDK for performing data plane operations on Azure Cosmos DB NoSQL API. This SDK provides comprehensive tools for managing data, including full CRUD (Create, Read, Update, Delete) operations on documents, executing complex parameterized and cross-partition queries, and handling bulk operations. It is essential for building data-intensive applications that require high-performance data interaction with Cosmos DB.

This module provides comprehensive connection methods for Azure Database for PostgreSQL Flexible Server using Node.js and TypeScript with the pg package. It supports both traditional password authentication and modern, recommended Microsoft Entra ID (passwordless) authentication. The guide demonstrates best practices, including connection pooling, parameterized queries to prevent SQL injection, and robust transaction management (BEGIN/COMMIT/ROLLBACK).

This skill serves as an expert guide for writing, reviewing, and optimizing AWS CloudFormation templates. It covers foundational best practices, including utilizing parameterized environments, implementing nested stacks, managing stateful resources with deletion policies, and ensuring production-grade infrastructure consistency. Use it when building robust and maintainable Infrastructure as Code (IaC) for AWS.

This skill guides the development of robust, security-focused full-stack web applications. It ensures layered security coverage across the entire application stack, from database queries (parameterized queries) to API endpoints (authentication/authorization) and frontend components (input validation, output encoding). Use this when building end-to-end features, microservices, or REST APIs that require simultaneous attention to Frontend, Backend, and Security best practices.

Comprehensive guide to managing data securely in Replit applications. This skill covers three core storage systems: PostgreSQL for structured data and complex queries; Replit KV Database for caching and session management; and Object Storage for file uploads and blobs. Learn best practices including parameterized queries, TTL implementation, and secure data access patterns.

This guide provides comprehensive testing patterns for C# and .NET applications. It covers best practices using xUnit, FluentAssertions, and advanced techniques like mocking (NSubstitute/Moq), parameterized testing, and full integration testing using Testcontainers and WebApplicationFactory. Ideal for improving test quality, coverage, and developing robust, maintainable codebases.

A comprehensive guide detailing best practices for database interaction in Go. It covers secure query writing using parameterized placeholders, handling transactions, managing connection pooling, dealing with NULLable columns, and choosing between libraries like sqlx and pgx, while strongly advising against using ORMs.

This guide provides comprehensive best practices for writing robust and effective unit tests using JUnit 5 in Java. It covers standard test structures (Arrange-Act-Assert), advanced data-driven testing using parameterized methods, best assertion practices (including AssertJ), and dependency isolation using mocking frameworks like Mockito. Ideal for developers aiming to improve code coverage and test reliability.

This skill provides the core mechanism for integrating Hex into external data pipelines. It enables triggering, monitoring, and managing Hex projects (e.g., via Airflow or Dagster) programmatically. Users can implement parameterized runs, execute multi-step ETL workflows sequentially, and handle status polling and error management, making it ideal for production data orchestration.

This guide provides minimal working examples for connecting to Snowflake and executing core SQL operations. It comprehensively covers connection setup, running simple SELECT queries, creating databases and tables, and performing parameterized inserts using both Python and Node.js. It is ideal for initial environment setup, testing the Snowflake SDK, or learning fundamental data warehouse interactions.

A sophisticated automated loop that uses vision or video models to evaluate subjective aesthetic quality (e.g., timing, color grade, layout). Instead of relying on numeric metrics, the system renders multiple parameterized variants into one artifact, asks the AI to rate them, and suggests optimal values, repeating the process until convergence. Ideal for design iteration where human judgment is the primary success criteria.

A comprehensive guide and generator for writing robust, production-grade unit and integration tests using JUnit 5 in Java. It covers advanced features like parameterized tests, Mockito mocking, lifecycle management, and nested test structures. Use this skill when you need to write clean, reliable, and highly structured Java test suites.