Skill UI

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 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 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.

This script provides a minimal working example for interacting with the Webflow Data API v2. It demonstrates the core operations, including listing sites, reading CMS collections, fetching existing CMS items (draft/live), and creating new content. Use this guide when starting a new Webflow integration or testing your basic API setup.

This component is an essential extension for KubeSphere Observability Platform, designed for comprehensive collection, processing, and storage of Kubernetes and KubeSphere audit events. It supports various sinks, including OpenSearch and Doris, and provides an API for querying historical audit data, ensuring robust auditing capabilities for platform operations.

The Desktop Commander MCP grants agents deep reach across the user's entire operating environment, extending far beyond the typical IDE sandbox. Key capabilities include maintaining persistent shell sessions, managing long-running background processes, accessing arbitrary filesystems, and natively handling structured data formats (Excel, PDF, DOCX). It also enables remote operations via SSH and large-scale content search, making it ideal for complex, multi-turn development, DevOps, and data analysis workflows.

A comprehensive playbook detailing advanced techniques for bypassing core macOS security features, including TCC, Gatekeeper, SIP, and sandbox restrictions. This guide is essential for authorized red team operations and penetration testing targeting macOS endpoints, covering methods like direct database manipulation, extended attribute removal, and privilege escalation paths.

This guide outlines architectural patterns and best practices for building scalable, production-ready APIs with FastAPI. It covers proper project structure, separating concerns using routers, services, and CRUD layers, implementing dependency injection for database sessions and authentication, defining Pydantic schemas for request/response, handling asynchronous operations, and managing custom error responses.

This comprehensive guide covers essential operations for handling PDF documents, including text, table, and metadata extraction using libraries like pdfplumber. It details document creation with reportlab, merging/splitting with pypdf/qpdf, and advanced OCR for scanned PDFs. Ideal for automating complex document workflows and structured data ingestion.