Skill UI

This guide provides comprehensive guidelines for performing vertical scaling on Qdrant instances. Vertical scaling involves upgrading the computational resources (CPU, RAM, or disk) of existing nodes rather than adding new nodes. It is the recommended first step when single nodes experience resource exhaustion (e.g., RAM usage > 80%, CPU saturation). The guide covers sizing guidelines, best practices for cloud deployment, and clearly defines the thresholds when horizontal scaling becomes necessary.

This skill provides a comprehensive guide for developers on performing fundamental blockchain queries using QuickNode's RPC infrastructure. It demonstrates how to retrieve the current block number, check ETH balances for specific addresses, read data from ERC-20 smart contracts, and fetch transaction receipts. It is essential for initial Web3 integration and blockchain development projects using JavaScript/TypeScript.

This guide provides a comprehensive, step-by-step walkthrough for developers to set up QuickNode blockchain RPC endpoints and integrate required SDKs (such as @quicknode/sdk or ethers.js). Learn how to obtain endpoints, configure environment variables, and verify connectivity to major blockchain networks like Ethereum for seamless Web3 development.

This skill provides comprehensive integration with the Ramp API, enabling the management and tracking of corporate card and expense data. Users can utilize it to list virtual cards, retrieve detailed recent transactions, and fetch user profile information. It is essential for developers building financial synchronization tools, advanced expense reporting systems, or robust corporate card management dashboards.

This skill provides minimal working examples for connecting to Salesforce, executing SOQL queries, and performing full CRUD (Create, Read, Update, Delete) operations on standard sObjects. Examples are provided in both TypeScript and Python. It is ideal for initial Salesforce integration testing, learning core API patterns, or performing basic data manipulation in a Salesforce environment.

This guide details how to deploy SerpApi-powered search functionality into production environments using modern serverless platforms like Vercel and Google Cloud Run. It critically emphasizes the security requirement: all API calls must be proxied through a secure backend endpoint and must never expose the API key to client-side browsers, ensuring robust and secure search integrations.

This guide details how to install the official SerpApi client library for Python and Node.js, and properly configure API key authentication. It is essential for any project requiring structured JSON results from major search engines like Google, Bing, and YouTube, ensuring secure and reliable search result scraping.

This guide provides a minimal, working example of connecting to a Shopify store using the GraphQL Admin API. It demonstrates how to initialize the API client, authenticate the connection, and execute a query to retrieve product and variant details. Ideal for developers starting a new e-commerce integration, testing API connectivity, or learning basic Shopify data retrieval patterns.

This skill guides developers through advanced techniques to optimize Shopify store performance and improve Core Web Vitals (LCP, CLS, INP). It covers fixing lazy-loaded hero images, migrating to the modern `image_url` filter for responsive images, profiling slow Liquid renders, and optimizing font delivery, ensuring a fast and professional e-commerce experience.

This guide provides comprehensive steps for upgrading Shopify API versions (quarterly releases) and migrating your application from the legacy REST Admin API to the modern GraphQL Admin API. It details how to check supported versions, identify breaking changes (like ProductInput splits), and update configurations, ensuring your codebase remains current with Shopify's evolving API standards.

This comprehensive guide demonstrates how to establish a robust Continuous Integration/Continuous Deployment (CI/CD) pipeline for Snowflake data warehousing. It integrates SchemaChange for managing version-controlled database migrations, GitHub Actions for automated testing and deployment triggering, and Terraform for provisioning and managing underlying Snowflake infrastructure (databases, warehouses, roles). Use this when setting up reliable, repeatable, and automated deployment workflows.

Master the deployment of applications connected to Snowflake across various cloud environments, including serverless functions (AWS Lambda, Cloud Run) and containers. This guide covers best practices for secure connection management, connection pooling, handling secrets (like private keys), and ensuring application reliability in production settings.