Skill UI

This guide details how to configure Shopify applications across isolated Development, Staging, and Production environments. It establishes separate app instances, API credentials, and stores for each environment, ensuring secure, structured deployments and preventing cross-environment data leakage. Essential for professional SaaS development workflows.

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.

A comprehensive workflow guide for fine-tuning open-source Large Language Models (LLMs) using the Together AI API. This process covers preparing structured training data (JSONL format), uploading the file, initiating the fine-tuning job, monitoring the training status, and finally deploying the custom model for inference. Ideal for developers needing to customize models for specific enterprise tasks, such as customer support or specialized content generation.

Comprehensive guidance for integrating with the Veeva Vault platform. This skill covers using the REST API, executing VQL queries, and utilizing the VAPIL Java SDK for managing documents and automating clinical operations. Ideal for developers working in the life sciences and pharmaceutical industry who need deep access to Veeva Vault data and workflows.

Provides comprehensive guidance for implementing core workflows within Veeva Vault. This skill covers using the REST API, performing VQL queries for data retrieval, and utilizing the VAPIL Java SDK. It is essential for developers working on document management, clinical operations, and CRM integrations within the life sciences sector.

This guide provides deep-dive patterns and best practices for migrating enterprise data into Veeva Vault. It is essential for developers implementing advanced, compliant, and regulated workflows within the life sciences sector. Key considerations include validating API changes against strict compliance requirements, utilizing VQL for efficient data retrieval, and handling complex error scenarios during migration.

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.

This guide provides comprehensive technical instructions for utilizing Veeva Vault webhooks events. It covers integration techniques using the REST API, VQL querying, and the VAPIL Java SDK. It is essential for professionals working with Veeva Vault's document management, clinical operations, and CRM platforms, ensuring robust data flow and managing document lifecycle states.

This comprehensive guide teaches how to use httpYac in VSCode to convert API documentation (like Swagger or Postman collections) into robust, executable .http files. It provides advanced workflow guidance for implementing complex authentication schemes (OAuth2, Bearer), managing multi-environment configurations, chaining requests using response data, and integrating testing workflows with CI/CD pipelines for professional-grade API automation.

A comprehensive guide to setting up continuous integration and continuous deployment (CI/CD) pipelines for Webflow Data API v2 integrations using GitHub Actions. This setup automates unit testing (mocked SDK), robust integration testing with real API tokens, CMS schema validation, and reliable publish-on-merge workflows, ensuring code quality and consistency in your Webflow projects.

This guide provides a comprehensive reference for diagnosing and fixing common Webflow Data API v2 HTTP errors (400, 401, 403, 404, 409, 429, 500). It covers the root causes and offers concrete code solutions in TypeScript and Bash for issues like invalid tokens, insufficient scope, or rate limits, helping developers effectively troubleshoot failed Webflow integrations and ensure data flow stability.

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.