Skill UI

This guide provides essential knowledge on resource limitations within WebContainer environments (such as memory, CPU, file system size, and process count). It is crucial for developers utilizing the WebContainers API or StackBlitz SDK to understand these constraints. Learn best practices for monitoring memory usage, optimizing mounted file systems by excluding unnecessary assets (like test or documentation folders), and managing dependencies to prevent common issues like Out-Of-Memory (OOM) crashes and slow build times.

This skill provides the production-grade architectural blueprint for developing browser-based Integrated Development Environments (IDEs) and interactive playgrounds powered by WebContainers. It is essential for developers who are integrating the WebContainers API or utilizing the StackBlitz SDK to create robust, cloud-based development experiences.

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 skill provides essential guidance on managing key WebContainer lifecycle events, including server readiness, port changes, and error handling. It is crucial for developers integrating with WebContainers or using the StackBlitz SDK to ensure robust and reliable application state management in development environments.

Test-Driven Development (TDD) is a development methodology that emphasizes writing failing tests first, followed by writing minimal code to pass them (Red -> Green), and finally refactoring the code (Refactor). This approach ensures that code is always verified against its intended public behavior, making the system robust, maintainable, and resilient to internal changes. It teaches developers to focus on 'what' the system does, rather than 'how' it does it.

This guide provides comprehensive solutions for common automation errors encountered when utilizing the TechSmith Snagit COM API and Camtasia. It covers critical topics such as COM server registration, elevated permissions, and file locking issues, making it essential for developers writing automation scripts in PowerShell or Python.

This guide details the deploy integration process for automating screen capture and video editing using TechSmith's Snagit COM API and Camtasia Producer CLI. It is designed for developers needing to orchestrate complex content pipelines, such as programmatically capturing specific screen regions, handling various output formats (clipboard, file, printer), and automating batch rendering within a Windows environment using PowerShell or Python.

Provides comprehensive instructions for installing, registering, and interacting with the TechSmith Snagit and Camtasia COM Server API. This guide covers setup for COM interop using PowerShell, Python, and C#, allowing developers to automate screen capture and video processing workflows without traditional API keys.

A comprehensive reference guide for common errors encountered when interacting with the Together AI API. This includes error codes and solutions for inference, fine-tuning, and model deployment, covering authentication, rate limits, validation failures, and billing issues. Essential for developers integrating OpenAI-compatible LLM services.

A comprehensive workflow guide for fine-tuning open-source Large Language Models (LLMs) using the Together AI API. This process covers preparing structured training data (JSONL format), uploading the file, initiating the fine-tuning job, monitoring the training status, and finally deploying the custom model for inference. Ideal for developers needing to customize models for specific enterprise tasks, such as customer support or specialized content generation.

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.

This guide outlines best practices and structured workflows for automating complex tasks within the Unity Editor using the Model Context Protocol (MCP). It provides programmatic methods for managing GameObjects, applying script edits, analyzing the editor state, executing batch commands, and capturing detailed, multi-view screenshots. Ideal for developers needing robust, repeatable, and automated testing or operational tasks within Unity projects.