Skill UI

This utility enables multi-camera streaming by converting standard camera protocols (RTSP, RTMP, HTTP) into low-latency WebRTC streams using the go2rtc sidecar. It is essential for building real-time surveillance dashboards, live video monitoring systems, or integrating diverse IP cameras into a single web interface.

This skill implements comprehensive observability (metrics, logging, and alerting) for Grammarly API integrations. It monitors critical performance indicators such as text check latency (p95), API error rates, suggestion acceptance rates, and token consumption. Use this setup when establishing robust monitoring systems, tracking real-time API performance degradation, or implementing proactive alerting to ensure consistent, high-quality user experiences in writing and editing flows.

This skill provides comprehensive integration with the Hootsuite API, allowing users to perform deep social media analytics and optimize content sharing. Key functions include retrieving organization analytics, monitoring message performance, tracking social profile metrics, and utilizing Ow.ly for efficient batch URL shortening. It is essential for marketing professionals needing to measure campaign ROI and manage large volumes of content links.

This guide provides best practices for optimizing HubSpot integration costs and performance. Learn to manage API call volume by implementing batch reads, using server-side search filters, and leveraging webhooks instead of continuous polling. It covers crucial concepts like rate limit monitoring and caching to prevent 'Too Many Requests' errors (429), ensuring stable and cost-effective development.

This utility addresses the lack of webhooks for OneNote resources. It implements an efficient change detection mechanism by performing timestamp-based polling and delta query comparisons against the Microsoft Graph API. It is essential for building real-time synchronization, change monitoring, or event-driven integrations for OneNote, while carefully managing API rate limits.

This skill guides the setup of comprehensive observability for Palantir Foundry integrations. It covers structured logging, Prometheus metrics (latency, errors), health checks, and Prometheus alert rules, enabling robust monitoring of API integration health, performance, and reliability. Use this when implementing production-grade monitoring for Foundry APIs.

Provides comprehensive observability for Salesforce integrations, covering API limit monitoring, SOQL performance tracking, error rate analysis, and structured logging. Use this skill when building robust, reliable connections to Salesforce, ensuring you track API consumption, detect performance bottlenecks, and set up critical alerting using tools like Prometheus and Grafana.

A comprehensive production readiness checklist for integrating SerpApi into live applications. This guide covers critical steps including secure API key management, setting up usage monitoring and credit budgets, implementing robust error handling, and optimizing performance for high availability. Use this when deploying or upgrading search features powered by SerpApi.

This skill implements comprehensive SERP (Search Engine Results Page) monitoring using SerpApi. It covers asynchronous search result retrieval via polling and builds robust pipelines for tracking keyword rankings over time. Ideal for SEO tools, competitive intelligence, and automated performance monitoring.

Set up comprehensive observability for Shopify app integrations. This skill tracks crucial metrics like GraphQL query costs, REST rate limit consumption, webhook delivery success, and API latency. It is essential for production monitoring, setting up robust Prometheus metrics, and configuring alerts for performance bottlenecks in e-commerce SaaS environments.

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 a comprehensive method for setting up Snowflake observability. It teaches how to leverage built-in ACCOUNT_USAGE views to monitor critical metrics such as query performance (latency, error rates), credit consumption, and storage growth. Furthermore, it demonstrates how to implement automated alerts for operational issues (e.g., high failure rates, stuck warehouses) and export metrics to external monitoring systems like Grafana or Prometheus.