Skill UI

This skill provides implementation patterns for utilizing Runway's AI video generation and creative platform. It covers setting up the SDK, generating videos from images, and handling common API errors (like insufficient credits or unauthorized access). It is designed for developers needing to integrate secure, high-quality AI video workflows into their applications.

This skill provides comprehensive integration patterns for the RunwayML platform, specializing in advanced AI video and image generation. Developers can programmatically create high-quality video content from text prompts or images, supporting sophisticated creative workflows. It is essential for building applications that require programmatic access to industry-leading creative AI capabilities.

This skill provides implementation patterns for interacting with RunwayML webhooks. It enables complex tasks such as AI video generation, image editing, and advanced creative content workflows. By using the provided Python SDK pattern, developers can trigger video creation tasks (e.g., image-to-video) and handle the asynchronous results, making it ideal for integrating high-end creative AI into applications.

An advanced AI tool utilizing Meta's Segment Anything 2 (SAM2) model for interactive, pixel-perfect object segmentation. Users can click on any object within a frame or video to automatically generate precise masks. Key features include point/box prompting, video tracking across multiple frames, and seamless integration into Annotation Studio workflows, making it ideal for large-scale data labeling and video analysis pipelines.

This workflow utilizes the SerpApi to perform advanced, multi-engine searches across platforms including YouTube, Bing, Google News, Google Shopping, and Google Maps. It is essential for data scraping, SEO research, and building comprehensive search features that require aggregating results from diverse sources beyond standard Google search. Use it to collect videos metadata, product pricing, local business details, and news articles efficiently.

This comprehensive benchmark suite evaluates the performance of Vision-Language Models (VLM) on complex video anomaly detection tasks using the SmartHome-Bench dataset. It covers a wide range of real-world smart home scenarios, including security breaches, elderly fall detection, and unusual pet behavior. Unlike single-frame analysis, this benchmark requires deep multi-frame video understanding, making it a robust tool for testing the advanced AI capabilities of video monitoring systems.

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 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).

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 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.