Skill UI

This skill acts as a dedicated social media strategist and content writer, generating high-quality, engaging, and platform-optimized posts. It tailors content structure, tone, and style specifically for Instagram, LinkedIn, and Facebook, ensuring every post includes a strong hook, clear value, and a compelling call to action, maximizing audience engagement.

This skill facilitates the deployment of WebContainer applications to popular hosting platforms like Vercel and Netlify. It handles complex configuration, including setting necessary COOP/COEP security headers. It is essential when developing modern web projects using WebContainers or the StackBlitz SDK, ensuring proper and secure deployment.

This skill provides a production-grade, containerized integration service for connecting to the Together AI platform. It facilitates high-performance inference, fine-tuning, and model deployment across over 100 open-source models using Together's OpenAI-compatible API. Includes comprehensive Docker setup, environment variable management, health checks, and zero-downtime rolling update strategies for robust, real-time LLM serving.

Provides comprehensive guidance for performance tuning, inference, and fine-tuning using the Together AI platform. This skill supports working with Together AI's OpenAI-compatible API, covering model deployment, utilizing various open-source models (like Llama, Mixtral), and implementing best practices for efficient and cost-effective batch inference.

This guide provides comprehensive strategies for migrating applications using the Together AI platform. It addresses common issues like model ID deprecations, API schema changes (for fine-tuning or chat completions), and best practices for robust inference and deployment using their OpenAI-compatible API.

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.

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 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 comprehensive documentation and best practices for interacting with the Veeva Vault platform. It covers REST API usage, writing effective VQL (Vault Query Language) queries, and utilizing the VAPIL Java SDK. It also details common error handling procedures and addresses rate limit guidance for developers working in life sciences and CRM environments.

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 details the complete architecture and organizational principles of a Webiny project. It covers the core concepts of the flat folder structure, the role of the central `webiny.config.tsx` file, and how to register various types of extensions (API, Admin UI, Infrastructure, and CLI Commands) using declarative JSX components. Use this when developers need to understand where custom code belongs and how to integrate different functional components into the platform.