Skill UI

This comprehensive guide provides production-ready patterns for the WebContainer API, essential for building sophisticated online IDEs and code playgrounds. It covers key functionalities such as singleton WebContainer management, robust file system CRUD operations, process lifecycle management, jsh terminal emulation, and embedding projects using the StackBlitz SDK. Ideal for developers creating collaborative development environments.

This utility is designed to facilitate the migration process between various versions of the WebContainer API and updates within the StackBlitz SDK. Use this skill specifically when working on projects that rely on WebContainers or the StackBlitz development environment, ensuring smooth, compatible upgrades to the latest framework versions.

This guide establishes a comprehensive development loop for automating TechSmith's screen capture and video editing processes (Snagit/Camtasia). It outlines the required project structure, includes PowerShell scripting examples, and details how to use Pester testing framework for robust COM API connection testing, ensuring reliable automation workflows.

This debug bundle provides comprehensive guidance for working with Together AI's OpenAI-compatible API. It supports critical LLM lifecycle tasks, including inference, fine-tuning, and model deployment for over 100 open-source models (e.g., Llama, Mixtral). It also includes detailed troubleshooting steps and solutions for common API errors (like 401 Unauthorized or 429 Rate limit), ensuring smooth development.

This tool provides a local development loop for integrating with Together AI's OpenAI-compatible API. It mocks key functionalities like chat completions, embeddings, and model listing, allowing developers to build and test AI applications rapidly without consuming live API credits. Developers can toggle between mock mode for rapid iteration and live mode for final model evaluation, ensuring a seamless workflow.

A comprehensive guide for the Veeva Vault local development loop. It details how to interact with the platform using REST APIs, advanced VQL queries for data retrieval, and the VAPIL Java SDK. Ideal for developers implementing solutions involving document management, clinical operations, and CRM processes within the Veeva ecosystem.

A comprehensive guide to configuring a fast, reproducible local development workflow for Webflow Data API v2 integrations. This setup includes TypeScript, hot reloading, Vitest mocking, and ngrok webhook tunneling, enabling developers to establish a rapid iteration cycle for seamless Webflow development and testing.

Configure secure and isolated Webflow integrations across development, staging, and production environments. This guide details how to manage separate API tokens, Site IDs, and secure secrets using industry-standard secret managers like HashiCorp Vault, AWS Secrets Manager, and GCP Secret Manager, ensuring data integrity and reliable deployment in a CI/CD pipeline.

A comprehensive catalog of reusable abstractions, hooks, and providers for rapidly building complex administrative dashboards and web applications. It provides foundational building blocks like state management providers, command palettes, form model factories, and specialized components, streamlining the development process for robust internal tools.

This module provides core abstractions (BuildParam and BuildParams) for managing build-time configuration parameters within web APIs. Developers use these types to ensure type-safe access and definition of configuration settings, promoting cleaner and more reliable API development.

This guide details how to implement a highly customized CMS field type within the Webiny framework. It covers extending DataFieldBuilder, defining complex validation logic, creating a FieldType.Factory, and proper registration using Dependency Injection (DI). Furthermore, it demonstrates module augmentation for enhancing TypeScript autocomplete in the fields registry, ensuring a complete, robust development workflow and exposing a fluent builder API.

This API provides a standardized, structured logging abstraction layer for modern application development. It supports multiple log levels (e.g., info, warn, error) and ensures logs are captured in a consistent, machine-readable format. It is essential for building robust applications that require detailed monitoring, debugging, and scalable operational insights.