Skill UI

This comprehensive checklist guides the deployment of Snowflake data pipelines and integrations into a production environment. It covers critical areas such as authentication best practices, warehouse configuration, data pipeline readiness, access control, monitoring setup, and disaster recovery planning. Use it when preparing for a go-live or validating the stability of your production Snowflake setup.

This guide outlines the implementation of a production-ready Snowflake data platform using the industry-standard Medallion Pattern (Bronze, Silver, Gold). It provides comprehensive, step-by-step SQL examples covering raw data ingestion (Bronze), data cleansing and typing (Silver), and business-level aggregation (Gold). Use this when designing new data warehouses or establishing robust, layered data architecture standards on Snowflake.

A comprehensive guide to implementing production-grade reliability patterns for Snowflake environments. Covers advanced techniques like Time Travel for point-in-time recovery, cross-region database replication, account failover groups for disaster recovery, and application-level resilience coding (e.g., connection failover logic). Essential for building fault-tolerant, highly available data pipelines.

This guide provides production-ready, idiomatic patterns for interacting with Snowflake using official SDKs (Node.js and Python). It covers essential patterns like implementing robust connection pooling, handling asynchronous query wrappers, efficiently streaming large result sets, and utilizing context managers for reliable resource cleanup. Use this when establishing team coding standards or optimizing data access performance.

This skill analyzes a live website or application to understand its underlying business model, data collection practices, and user interactions. It then generates a comprehensive, 16-section Terms of Service document, automatically incorporating provisions for GDPR, CCPA, and other major compliance frameworks. Ideal for launching new SaaS, e-commerce, or mobile products.

This workflow guides users through the complete lifecycle of customizing large language models (LLMs). It covers uploading training data, initiating fine-tuning jobs, monitoring training progress, managing model versions, and finally deploying the optimized model to a dedicated, autoscaling inference endpoint using the Together AI API. Ideal for production-level customization.

This comprehensive guide serves as a checklist for interacting with Veeva Vault in a production environment. It details best practices for using the REST API, executing complex VQL queries, and integrating with the VAPIL Java SDK. Coverage includes authentication flows, common data patterns, document lifecycle management, and essential error handling procedures for life sciences and CRM operations.

A comprehensive guide for professional video content creation, encompassing both creative and technical workflows. Learn to generate original footage using advanced AI models (Veo, Runway, Pika), utilize AI avatars for talking-head explainers, or build complex, data-driven videos programmatically using frameworks like Remotion and Hyperframes. Ideal for marketing, product demos, and scalable content pipelines.

This tool executes the core Webflow workflow by managing CMS collections and items through the Data API v2. It enables the full CRUD lifecycle—create, read, update, delete, and publish dynamic content like blog posts, team profiles, or product listings programmatically. Use this when integrating with Webflow CMS to automate content management and publishing tasks.

This skill provides comprehensive API access to manage all aspects of a Webflow project. It covers site operations (publishing, listing), page metadata (SEO, Open Graph), handling form submissions, and full e-commerce functionality (products, SKUs, inventory, orders). Use this when automating site deployments, extracting form data, or managing product catalogs programmatically via the Data API v2.

Configure secure and isolated Webflow integrations across development, staging, and production environments. This guide details how to manage separate API tokens, Site IDs, and secure secrets using industry-standard secret managers like HashiCorp Vault, AWS Secrets Manager, and GCP Secret Manager, ensuring data integrity and reliable deployment in a CI/CD pipeline.

Implement a comprehensive observability stack for Webflow Data API v2 integrations. This skill provides structured code using Prometheus metrics, OpenTelemetry distributed tracing, and structured logging (pino) to monitor API call frequency, latency, error rates, and rate limit usage. Ideal for developers building robust, production-grade Webflow-connected SaaS applications that require deep performance insights and reliable alerting.