Skill UI

LangChain accelerates building LLM-powered agents, RAG pipelines, and chatbots by orchestrating models, chains, tools, memory, and vector stores across major providers for rapid prototyping or production deployment.

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.

A comprehensive security tool designed to detect prompt injection attacks targeting Large Language Models (LLMs). It employs a multi-layered approach combining regex signature matching, structural anomaly scoring, and advanced DeBERTa transformer classification. It is essential for securing input validation layers in chatbots, AI agents, and RAG pipelines, and for retrospectively auditing LLM interaction logs against OWASP standards.

Gradio is a powerful Python library designed for creating interactive web user interfaces and showcasing machine learning demos quickly. This skill covers core patterns like Interface, Blocks, and ChatInterface, allowing users to build complex applications, components, and event-driven chatbots with minimal effort. Ideal for rapid prototyping and deep learning model visualization.

An open-source automation framework for conducting multi-turn, adversarial red-teaming against conversational LLMs. PyRIT simulates real-world attacker behavior using advanced orchestrators (Crescendo, TAP) and scorer feedback loops. It is designed for comprehensive security assessments of AI agents and chatbots, going far beyond single-shot prompt testing to evaluate robustness under gradual or adaptive attacks.

Gradio is a Python library for creating interactive web user interfaces and machine learning demos. This skill covers building Gradio applications, including components, event listeners, layouts, and chatbots. It includes guides on Interface, Blocks, and ChatInterface patterns, along with key component signatures like Textbox, Number, and Slider for rapid prototyping and deployment.

Design and implement conversational AI assistants with context management, integration boundaries, and validation. Provides guidance, best practices, and checklists for building production-ready chatbots and AI-powered applications.

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.

AI Elements is a component library built on shadcn/ui designed to help developers build AI-native applications faster. It provides pre-built components for conversations, messages, tool displays, and prompt inputs. Ideal for creating chatbots, AI assistants, or any AI-powered chat interface. Supports React and Next.js with easy CLI installation and full customization options using Tailwind CSS.