Skill UI

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 guide covers essential security best practices for utilizing Together AI's OpenAI-compatible API for inference, fine-tuning, and model deployment. It provides code examples and architectural advice on secure API key management, robust webhook signature verification, input validation using schemas (like Zod), and implementing data redaction pipelines to protect sensitive information in logs and datasets. Essential for building secure AI applications.

TweetClaw provides comprehensive automation capabilities for X/Twitter using the Xquik REST API. It allows users to perform full read and write operations—including posting, replying, liking, following, and sending DMs. Key features include advanced tweet searching, bulk data scraping (23 tools), account monitoring, running structured giveaways, and composing algorithm-optimized content. Ideal for social media managers, digital marketers, and data analysts needing deep platform insights.

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.

This guide provides essential knowledge for handling common errors encountered when integrating with Veeva Vault. It covers REST API usage, VQL querying patterns, and VAPIL Java SDK concepts, helping developers manage document lifecycles and resolve issues like invalid sessions, insufficient permissions, or data validation conflicts in a life sciences CRM environment.

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.

A comprehensive guide for developers on integrating and tuning with Veeva Vault using its REST API, VQL (Veeva Query Language), and VAPIL Java SDK. This skill covers authentication methods, common data patterns, document lifecycle management, and detailed error handling, making it essential for clinical operations and document management in life sciences.

Provides enterprise-grade data handling patterns tailored for Veeva Vault deployments. This guide is essential for professionals managing data operations in regulated life sciences environments. It covers best practices for advanced data retrieval using VQL, API integration, and ensuring compliance when writing, reading, or editing critical enterprise data.

This bundle provides comprehensive debugging guidance for Veeva Vault, covering REST API interactions, advanced VQL querying, and utilizing the VAPIL Java SDK. It helps developers manage document lifecycles, authenticate sessions, and resolve common operational and data access errors within the life sciences domain.

A comprehensive guide for integrating with the Veeva Vault platform. It provides detailed instructions on utilizing the REST API, executing complex VQL queries, and leveraging the VAPIL Java SDK. This skill is essential for handling document management, CRM operations, and data interaction processes within the life sciences sector.

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.