Skill UI

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 technical guidance for performance tuning and automating workflows using TechSmith Snagit COM API and Camtasia. It details key considerations for robust scripting, including using PowerShell and Python interop, defining various input/output types (like desktop, window, clipboard, or file), and solving common errors (such as COM registration failures or permission issues). Use this skill when building complex, automated pipelines for screen capture and video editing.

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.

This skill takes large plans, specifications, or Product Requirement Documents (PRDs) and systematically breaks them down into small, independently verifiable, and actionable GitHub issues. Utilizing the 'vertical slice' (tracer bullet) methodology, it ensures that each generated task cuts through all integration layers (UI, API, Schema, Tests) end-to-end. It manages dependencies, identifies required human interaction (HITL) versus autonomous implementation (AFK), and prepares a structured, executable backlog ready for immediate ticketing.

This skill synthesizes a comprehensive Product Requirements Document (PRD) from the current conversation context and understanding of the codebase. It guides the user through structuring the problem statement, defining detailed user stories, outlining implementation decisions, and suggesting test strategies. The final PRD is formatted and submitted directly as a GitHub issue, ensuring a structured handover from discussion to development specification.

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.