Skill UI

This guide provides comprehensive methods for building robust change detection and event handling within Notion workspaces. It compares the reliability, complexity, and latency of three approaches: polling using last_edited_time, utilizing native webhooks, and using third-party connectors. Learn how to implement reliable, incremental synchronization, change feeds, and event-driven workflows using the Notion API to ensure data consistency and near real-time updates.

This skill guides developers through critical breaking changes when upgrading OneNote integrations using the Microsoft Graph SDK. It details how to migrate from app-only to delegated authentication, replace decommissioned webhooks with polling, update deprecated search endpoints to OData filters, and upgrade the Graph SDK from v5 to v6. Essential for maintaining compatibility with modern Microsoft Graph APIs.

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.

A comprehensive guide to launching, listing, and managing Oracle Cloud Infrastructure (OCI) compute instances using Python. This guide specifically addresses the common 'Out of host capacity' error when using Always Free ARM shapes, implementing a robust retry loop to ensure successful deployment. Users can learn the full lifecycle management, from initial connection setup to instance state polling.

This guide provides comprehensive technical instructions for optimizing Palantir Foundry costs. Learn to use incremental transforms to drastically reduce compute rebuilds, right-size Spark profiles based on data volume, and migrate from expensive API polling to efficient, event-driven webhooks, ensuring both cost efficiency and system stability.

This guide provides a comprehensive walkthrough of the identity verification lifecycle using the Persona REST API. It covers the full process: creating a new inquiry, generating hosted or embedded verification URLs, polling the inquiry status until completion, and finally retrieving detailed KYC results. This is essential for developers building secure, automated user onboarding, and identity verification flows.

Optimizes the performance of the Persona API for identity verification workflows. This guide demonstrates best practices such as implementing batch inquiry creation, caching verification results, and managing parallel polling to ensure efficient and reliable data retrieval when dealing with large volumes of identity data.

This guide provides a comprehensive workflow for generating cinematic AI videos using Runway's Gen-3 Alpha model via the Python SDK. It covers the entire process from text-to-video task creation, polling for task completion status, to successfully downloading the final high-quality video output. Ideal for developers integrating advanced creative video generation into their applications.

This guide helps users select and implement the optimal architecture pattern for Salesforce integrations. It compares three main approaches: simple Direct API polling, highly scalable Event-Driven using Change Data Capture (CDC), and complex Enterprise Middleware/iPaaS solutions. Use this when designing new integrations, planning data migration, or determining the best sync method based on data volume, latency, and complexity requirements.

This guide details how to manage and reduce the high rate-limit costs associated with the SalesLoft API. It explains the cost model, emphasizing that deep pagination significantly increases consumption. Learn advanced strategies like incremental syncing, caching frequently accessed data, implementing webhooks, and request consolidation to maintain efficiency and stay within budget limits.

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.

This utility handles asynchronous webhook events from Together AI, enabling developers to build robust, event-driven Machine Learning pipelines. Instead of constantly polling the API for status updates (e.g., fine-tuning completion, batch job status, model deprecation), you can subscribe to these webhooks. It includes logic for signature verification, event routing, and idempotency, making it ideal for mission-critical AI workflows.