Skill UI

This skill establishes an autonomous, iterative build loop for continuous website development. It functions as an agent that reads tasks from a 'baton' file, utilizes the Stitch MCP tools to generate structured web pages, integrates the generated HTML assets into the main site structure, and finally updates the baton file with the next required task. It supports end-to-end, programmatic site building and includes optional visual verification using Chrome DevTools.

This comprehensive, guided 4-phase workflow helps teams establish clear identity, boundaries, and strategic positioning. It guides users through absorbing existing context, auditing current capabilities versus claimed responsibilities, articulating a defined mission, and finally achieving stakeholder alignment. Use this framework when starting a new role, inheriting ambiguity, or needing to define clear operational boundaries.

This utility conducts a thorough audit of project documentation against the current codebase to ensure complete consistency. It supports 'delta' (detecting changes since merge-base) or 'full' auditing modes. By utilizing Impact Mapping and verifying cross-reference pairs, it identifies outdated specs, missing documentation, or inconsistent references across the entire project ecosystem.

This skill performs a structured Systematic Literature Review (SLR) by analyzing multiple academic papers on a given topic. It searches academic databases (like arXiv), extracts structured metadata (research questions, methodologies, key findings, limitations) from the entire set of papers, and synthesizes overarching themes and research trends. It is ideal for creating comprehensive literature surveys, annotated bibliographies, and cross-paper comparisons, outputting reports in professional citation formats like APA, IEEE, or BibTeX.

Generates structured DESIGN.md files that serve as a single source of truth for AI-powered screen generation (Google Stitch). This skill translates complex, anti-generic design directives into precise semantic rules, covering typography, color calibration, motion physics, and layout principles to enforce a premium, high-agency UI/UX standard. It ensures outputs are sophisticated and avoid common AI design clichés.

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 skill acts as a technical translator, helping Product Managers understand complex systems, codebases, APIs, and technical concepts. It goes beyond simply explaining technology by connecting technical details to real-world product implications (the 'so what'). It structures findings into summaries, workings, product impacts, and crucial questions for engineering, ensuring all insights are immediately actionable for product decisions.

This guide provides comprehensive instructions for integrating TechSmith's screen capture (Snagit) and video editing (Camtasia) tools using the COM API. It covers advanced scripting techniques in a Windows environment, primarily utilizing PowerShell and Python interop (`pywin32`). Use it to automate complex content creation workflows, such as batch rendering, programmatic screen region capture, and structured file handling for professional video assets.

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 workflow automates the creation of step-by-step documentation guides using the TechSmith Snagit COM API and PowerShell. It first captures a series of sequential screenshots for a guide, and then uses a batch process to open and annotate these images within the Snagit Editor, ensuring consistency and efficiency in creating professional tutorials.

This workflow automates complex video production tasks using the TechSmith Camtasia Producer COM API via PowerShell. It enables users to perform batch rendering, manage various output presets, apply custom watermarks/branding, and export projects in multiple formats (e.g., MP4, M4A) without manual intervention. It is ideal for content creators, educators, and businesses managing a large volume of video content efficiently.

A comprehensive guide for automating workflows using the TechSmith Snagit COM API and Camtasia. This skill provides detailed instructions on cost tuning, handling various input/output types, and troubleshooting common errors for advanced screen capture and video editing automation. Primary scripting methods involve PowerShell and Python (pywin32).