Skill UI

A comprehensive guide to implementing production-grade reliability patterns for HubSpot CRM integrations. Learn to build fault-tolerant systems using Circuit Breakers, advanced retry strategies, graceful degradation, and Dead Letter Queues (DLQ). Essential for maintaining high availability when connecting to external APIs.

A comprehensive deep dive guide for executing advanced Klaviyo migration strategies. Learn how to move data from legacy v1/v2 APIs, competing Email Service Providers (like Mailchimp), or execute a full platform re-platforming using patterns like the Strangler Fig. Includes technical steps for API field mapping and data transformation.

A guide to building resilient software integrations when dealing with external APIs that lack formal versioning, changelogs, or guaranteed backward compatibility. Learn defensive coding patterns, implementing schema drift detection via CLI tools (curl, jq), using fallback field names, and executing gradual feature flag rollouts to maintain production stability.

A remote MCP server designed for AI agents to dynamically discover, inspect, and verify external tools, APIs, and services. It allows agents to search a curated index of AI-ready websites, check for machine-readable endpoints (like OpenAPI or MCP), and confirm if an endpoint responds correctly to JSON-RPC, enabling robust, dynamic agent workflow building.

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 skill provides comprehensive techniques for building highly resilient clients when interacting with Oracle Cloud Infrastructure (OCI) APIs. It addresses the common 429 TooManyRequests throttling errors by implementing custom exponential backoff with jitter, utilizing the SDK's advanced retry configuration, and integrating circuit breaker patterns for large-scale, high-volume operations. Use this guide when automating bulk OCI tasks to ensure reliable data retrieval and prevent API failure due to rate limits.

Qdrant is a high-performance vector database. This client SDK suite provides official, easy-to-use libraries for multiple programming languages (including Python, Java, Go, and TypeScript). It enables developers to seamlessly integrate sophisticated vector search capabilities into their applications, supporting both REST and gRPC APIs. Ideal for building semantic search engines, recommendation systems, and advanced AI applications.

This workflow demonstrates how to interact with specialized NFT and ERC-20 token APIs provided by QuickNode. It provides programmatic methods to fetch detailed metadata, check current token balances, and track comprehensive transfer history for blockchain assets. It is essential for developers building decentralized applications (dApps) or integrating advanced Web3 features into their product.

Master advanced techniques for optimizing Salesforce API interactions. This guide covers optimizing SOQL queries using selective fields and indexed WHERE clauses. It details methods to minimize API calls by utilizing Collections and Composite APIs, implementing metadata caching, and efficiently streaming large result sets via Bulk API 2.0, ensuring stable and high-performance integrations.

This utility provides a robust local development loop for integrating search APIs (like SerpApi). By caching real search responses into fixtures, developers can test search integrations, write unit tests, and develop features offline without incurring continuous API costs. It includes detailed instructions and code examples for Python and Node.js, ensuring cost-effective and reproducible testing.

Master event-driven patterns within Snowflake using native alerts, email integrations, external functions, and cloud notification services (S3/GCS). This skill is essential for building robust, reactive pipelines that trigger actions (like sending alerts, calling external APIs, or ingesting data) in response to data changes or specific system events. Use cases include data quality checks, real-time monitoring, and automated notifications.

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.