Skill UI

Comprehensive guide to LLM Operations (LLMOps). Covers advanced topics like Retrieval-Augmented Generation (RAG), vector database management (Pinecone, Chroma), embeddings, fine-tuning, prompt engineering, and cost optimization. Essential for bridging the gap between AI prototypes and reliable, scalable, production-grade AI systems.

Curated upstream guidance for Longbridge Research. Provides institutional data, sell-side research, and investment research frameworks including analyst ratings, consensus estimates, financial calendars, shareholder data, insider trades, short selling data, industry rankings, peer group trees, investment idea generation, investment proposals, coverage initiation, competitive analysis, financial planning, DeFi yield analysis, and on-chain data. Use when the user's goal matches the documented workflows.

This skill provides a complete production-ready Docker setup for Odoo ERP. It includes PostgreSQL database configuration, persistent volume management, environment variable handling, and optional Nginx reverse proxy with SSL support. Suitable for local development, VPS deployment, and troubleshooting container issues. Covers docker-compose.yml generation and odoo.conf tuning for optimal performance.

Expert in building Retrieval-Augmented Generation systems for LLM applications. Masters embedding models, vector databases, chunking strategies, and retrieval optimization. Capable of designing retrieval pipelines, implementing hybrid search, and optimizing context windows to ensure high-quality generation from retrieved documents.

This comprehensive workflow guides the end-to-end implementation of Retrieval-Augmented Generation (RAG) systems. It covers critical stages, including selecting optimal embedding models, setting up vector databases, designing chunking strategies, implementing hybrid retrieval, integrating Large Language Models (LLMs), and performing rigorous evaluation. Use this when building knowledge-grounded AI applications or advanced semantic search systems.

Build and operate Retrieval-Augmented Generation (RAG) systems using vector stores, embedding pipelines, and hybrid search. This skill covers ingesting documents, generating embeddings, storing in vector databases, and serving grounded LLM responses. It includes setting up embedding pipelines, vector store infrastructure, and deploying hybrid search (dense + sparse) to reduce hallucinations and improve semantic search over large document collections.

This guide provides comprehensive best practices for creating high-quality videos using Remotion within a React environment. It covers advanced techniques for dynamic content generation, including integrating 3D models (Three.js), managing diverse assets like audio, video, and fonts, implementing complex animations, data visualization, and generating precise captions. Use this skill when developing professional, robust video generation workflows in React.

SvelteKit is the official full-stack framework built on Svelte, enabling developers to build fast, modern, and highly performant web applications. It provides comprehensive features including file-based routing, Server-Side Rendering (SSR), Static Site Generation (SSG), API routes, and progressive form actions, all while maintaining Svelte's zero runtime overhead. Use this skill when building complex, data-driven web platforms where performance and developer experience are paramount.

An expert guide for developing production-grade AI applications, chatbots, and generative UIs using the Vercel AI SDK, Next.js, and React. Covers core concepts including streaming text (`streamText`), managing chat state (`useChat`), implementing complex tool/function calling, and ensuring robust structured data generation (JSON schemas) across multiple LLM providers.

This comprehensive skill provides an index of official blueprints and implementation guides for building full-stack, AI-powered applications using Weaviate. It covers advanced patterns such as Retrieval-Augmented Generation (RAG), agentic workflows, data exploration, and multimodal document search, guiding users through best practices for setup, clients, and frontends.