Skill UI

This benchmark evaluates Vision-Language Models (VLMs) on detecting potential safety hazards within indoor environments. It uses static camera frames, simulating real-world fixed security camera monitoring. The test covers 40 scenarios across 5 critical categories, including fire/smoke, electrical risks, trips/falls, child safety, and falling objects, providing a rigorous measure of VLM's practical safety inspection capability.

A comprehensive set of structured patterns for integrating with the Lucidchart REST API. These patterns handle complex requirements such as OAuth 2.0 token lifecycle management, mandatory API version negotiation, deep shape tree structures, and robust error handling for concurrency issues (e.g., document locking, rate limiting). Includes utilities for building type-safe queries and mocking test scenarios.

Generates professional and customized Non-Disclosure Agreements (NDAs) for various business scenarios, including partnerships, hiring, and vendor relationships. It supports mutual, one-way, employee, and vendor variants, ensuring comprehensive coverage across 15 mandatory legal sections. A key feature is the inclusion of plain English annotations after each section, allowing non-legal personnel to clearly understand the agreement's terms and implications.

A comprehensive guide for performing end-to-end (E2E) and integration testing on the Nexu → OpenClaw gateway stack. It details the architectural constraints and viable testing methods, emphasizing the use of Vitest for reliable internal function testing (e.g., skill snapshotting, session store logic). Use this when verifying core gateway fixes, testing skill loading after restarts, or simulating complex operational scenarios.

This comprehensive guide details advanced strategies for managing time-series data and data retention in vector databases (like Qdrant). It is designed for scenarios where only recent data is relevant (e.g., social media feeds, news articles). Three core methods are presented: Shard Rotation (recommended for natural time boundaries), Collection Rotation (for per-period configuration needs), and Filter-and-Delete (for simple cleanup). The guide also covers hot/cold tiering to optimize performance.

This guide provides essential implementation patterns and solutions for common API errors encountered when integrating with the RemoFirst platform. It addresses critical functions like global HR management, Employer of Record (EOR), and payroll processing, ensuring stable and compliant data handling for international employment scenarios.

This guide details how to use Skyvern's AI-powered Command Line Interface (CLI) for advanced browser automation. Users can perform tasks such as quick data validation, structured data extraction, form filling, secure login, and building complex, multi-step, reusable workflows across various websites. It offers solutions for scenarios where deterministic selectors fail.

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 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 guide provides deep-dive patterns and best practices for migrating enterprise data into Veeva Vault. It is essential for developers implementing advanced, compliant, and regulated workflows within the life sciences sector. Key considerations include validating API changes against strict compliance requirements, utilizing VQL for efficient data retrieval, and handling complex error scenarios during migration.

Generate data analysis reports by exploring database tables, running multidimensional SQL queries, performing deep attribution analysis, and outputting dynamic HTML visual reports with ECharts for business, trend, and KPI scenarios.

This utility provides comprehensive capabilities for viewing, creating, uploading, editing, and comparing Markdown files stored in the cloud drive. It is designed for scenarios requiring local content manipulation, such as creating new files, fetching existing content, performing localized text patching (regex replacement), comparing version differences, or overwriting content. Note that it specifically handles structured Markdown files, not docx conversions, and defers cloud space management operations (like searching, moving, or permissions) to other dedicated skills.