Skill UI

This skill focuses on optimizing the performance of WebContainers, specifically targeting improvements in boot time, file system mounting efficiency, and process spawning. It is essential for developers utilizing the WebContainer API or the StackBlitz SDK to ensure a stable and efficient development environment, especially in complex web applications.

Provides a comprehensive production checklist specifically for WebContainer applications built using the StackBlitz SDK. This guide helps developers ensure that their web applications are robust and ready for deployment by checking essential aspects like security headers, cross-browser compatibility, and necessary fallback mechanisms.

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 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 bundle provides comprehensive debugging guidance for automating TechSmith tools, specifically focusing on the Snagit COM API and Camtasia workflows. It details input/output constants, error handling procedures (e.g., COM registration, permissions), and scripting best practices using PowerShell or Python interop, enabling users to build advanced screen capture and video editing automation solutions.

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.

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 guide provides comprehensive checklists and technical guidance for automating TechSmith products, including Snagit and Camtasia. It covers API usage (COM API), key scripting considerations (PowerShell, Python), supported input/output types, and essential error handling procedures, enabling seamless screen capture and video editing automation.

This guide provides essential security and implementation guidance for automating TechSmith's screen capture (Snagit) and video editing (Camtasia) workflows. It covers using the Snagit COM API, best practices for batch rendering with Camtasia CLI, and technical details for scripting in PowerShell and Python using pywin32. It also addresses common error handling scenarios like permission issues and file locking, ensuring robust automation.

This comprehensive guide provides detailed instructions for migrating and automating workflows involving TechSmith's Snagit COM API and Camtasia. It serves as a technical resource for advanced users, covering key considerations such as Windows-only requirements, scripting implementation using PowerShell and Python (pywin32), detailed input/output constant mappings, and essential error handling mechanisms for achieving robust screen capture and video editing automation.

Automate the Continuous Integration and Continuous Deployment (CI/CD) workflow for applications leveraging Together AI's OpenAI-compatible API. This skill sets up comprehensive GitHub Actions workflows to run unit tests (mocking completions and embeddings) on every Pull Request, and full integration tests (live API calls) upon merging to the main branch. It ensures robust validation of prompt formatting, model selection, and API connectivity for various LLMs.

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.