Skill UI

This skill provides enterprise-grade Role-Based Access Control (RBAC) patterns specifically for Veeva Vault deployments in regulated environments. It guides developers on implementing advanced features while maintaining strict compliance standards. Key considerations include validating API changes against compliance requirements, utilizing VQL for efficient data retrieval, and managing security profiles for robust access control.

This guide demonstrates the fundamental CRUD (Create, Read, Update, Query) operations within Veeva Vault using Python. It leverages the Veeva REST API and incorporates VQL (Vault Query Language) for advanced metadata querying. This skill is essential for developers integrating document management systems in the life sciences sector.

Provides an enterprise-grade incident runbook for Veeva Vault deployments, tailored for regulated life sciences environments. This guide details best practices for handling critical operational incidents, ensuring compliance with rigorous standards, and utilizing advanced features like VQL and VAPIL for robust data retrieval and error resolution.

This guide details how to perform authentication and data operations with the Veeva Vault platform using its REST API. It covers obtaining session IDs via username/password or OAuth 2.0, and executing complex queries using VQL (Veeva Query Language). Ideal for developers integrating document management systems in the life sciences sector.

A comprehensive guide for the Veeva Vault local development loop. It details how to interact with the platform using REST APIs, advanced VQL queries for data retrieval, and the VAPIL Java SDK. Ideal for developers implementing solutions involving document management, clinical operations, and CRM processes within the Veeva ecosystem.

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.

Provides comprehensive, enterprise-grade patterns for setting up and managing Veeva Vault across multiple environments. This guide is essential for implementing advanced, compliant deployment strategies in the regulated life sciences sector, covering API usage (VQL, VAPIL) and best practices for data validation and security.

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 reference architecture for integrating with Veeva Vault, covering REST APIs, VQL query language, and VAPIL Java SDK. It details key concepts like authentication, common data patterns, and error handling, making it essential for developers working on life sciences or CRM solutions built on the Vault platform.

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.