Skill UI

This comprehensive guide details strategies for optimizing Shopify API performance. Key techniques include reducing excessive GraphQL query costs, implementing bulk operations for large data exports, setting up robust response caching with webhook invalidation, and utilizing the Storefront API for high-traffic public storefronts. Essential for developers hitting rate limits or slow data retrieval.

Master the art of building fault-tolerant e-commerce applications for Shopify. This guide covers essential reliability patterns, including implementing circuit breakers for API outages, ensuring webhook idempotency to handle retries, and utilizing queue systems and cached fallbacks for graceful degradation. Essential for building highly resilient integrations that withstand API failures and webhook storms.

A comprehensive guide to optimizing query performance in Snowflake. Learn advanced techniques such as implementing clustering keys, utilizing materialized views, leveraging result caching, and analyzing query profiles. This guide also covers best practices for warehouse tuning and optimizing common SQL anti-patterns to ensure efficient data querying and cost management.

Automates the deployment of static web files (HTML, CSS, JS, images) to a specified domain using Cloudflare Pages via the Wrangler CLI. This skill is ideal for hosting Single-Page Applications (React, Vue), landing pages, portfolios, or documentation sites. It stages the site files and injects necessary cache revalidation headers to ensure content freshness after redeployment.

A comprehensive guide to optimizing operating costs when utilizing Together AI's OpenAI-compatible API. This resource details strategies for cost reduction across various AI tasks, including inference, fine-tuning, and model deployment. Learn how to select appropriate model sizes, implement caching, leverage batch inference, and utilize Turbo variants to maximize efficiency and minimize spending.

A comprehensive reference architecture for building scalable, cost-effective, and robust AI services. This system manages the full AI lifecycle, including intelligent model routing (for quality/cost trade-offs), response caching (using Redis), asynchronous batch processing, and fine-tuning pipeline management via Together AI's OpenAI-compatible API. Ideal for enterprise applications requiring high availability across multiple open-source models.

A comprehensive guide and workflow for deploying static websites (e.g., Vue, React, Angular, Hugo, Jekyll) from a local environment to a production server using VSCode SFTP. This skill covers setting up secure SFTP connections, generating production-ready Nginx configurations (including security headers, caching, and HTTPS redirects), and providing a complete deployment checklist for smooth CI/CD-like workflows.

A comprehensive guide to optimizing Webflow usage costs. This skill teaches advanced strategies for reducing API expenses by prioritizing CDN-cached reads (free and unlimited), implementing bulk endpoint operations, caching collection schemas, and replacing inefficient polling with Webhook-driven updates. It also provides methods for API usage monitoring and recommending the optimal site plan.

This guide provides advanced strategies for optimizing Webflow Data API v2 performance. Learn how to mitigate rate limits and reduce latency by utilizing CDN-cached live item reads, implementing application-level or Redis caching, and leveraging bulk endpoints for efficient data writes. Essential for high-traffic, data-intensive Webflow projects that require robust scaling.

Provides a comprehensive, layered reference architecture for building production-grade integrations with Webflow's Data API v2. This guide separates concerns into distinct layers: API access, business logic (CMS, e-commerce), webhook handling, and caching, ensuring scalability and maintainability for complex web applications.

This API provides key-value store abstractions, enabling developers to manage persistent or temporary data within their web services. It offers two distinct scopes: a global (non-tenant-scoped) store and a tenant-scoped store. This is essential for applications requiring structured data management, such as application settings, caching mechanisms, or session data, while maintaining clear data isolation.

A detailed playbook covering CRLF (Carriage Return Line Feed) injection techniques. This exploit targets insecure handling of user input within HTTP response headers (e.g., Location, Set-Cookie) or log files. It demonstrates advanced attacks like response splitting, XSS escalation via double CRLF, cache poisoning, and session fixation, essential for deep security testing.