Skill UI

This skill demonstrates how to automate core content creation operations using industry-standard tools. It utilizes the Snagit COM API to perform batch screenshot and video captures, and leverages command-line execution (CamtasiaProducer) to batch-render and export video projects (e.g., .tscproj to MP4). Ideal for building robust documentation pipelines, automating content workflows, or integrating TechSmith tools into larger scripting systems.

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.

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.

Provides detailed guidance on rate limits and implementation patterns for automating TechSmith products like Snagit and Camtasia. Covers using the Snagit COM API, batch rendering via Camtasia Producer CLI, and scripting best practices using PowerShell and Python interop. Essential for screen capture and video workflow automation.

This guide provides the reference architecture and instructions for automating TechSmith workflows. It details using the Snagit COM API and Camtasia Producer CLI for screen capture, video editing, and batch rendering processes. The architecture emphasizes using PowerShell and Python interop (pywin32) to manage complex automation tasks effectively.

This guide provides production-ready patterns for automating TechSmith tools using PowerShell and COM API. It features a Snagit COM API factory pattern for consistent screen capture and a batch rendering function for Camtasia. Use these patterns to build robust, automated content pipelines for screen recording and professional video production.

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.

Provides comprehensive guidance for integrating TechSmith products (Snagit and Camtasia) into automated workflows. This skill focuses on utilizing TechSmith webhooks and the Snagit COM API, enabling batch rendering, screen capture integration, and advanced video editing automation within scripting environments like PowerShell and Python.

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.

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.